00569nas a2200157 4500008004100000245006200041210006200103260004400165300001200209100002000221700002800241700001200269700001600281700001200297856010200309 2015 eng d00aLocalization of Visual Codes using Fuzzy Inference System0 aLocalization of Visual Codes using Fuzzy Inference System aBerlin, GermanybSciTePresscMarch 2015 a345-3521 aBodnár, Péter1 aNyúl, László, Gábor1 aBraz, J1 aBattiato, S1 aImai, F uhttps://www.inf.u-szeged.hu/publication/localization-of-visual-codes-using-fuzzy-inference-system00520nas a2200121 4500008004100000245007500041210007500116260004000191300001200231100002000243700002800263856010700291 2015 hun d00aQR kód lokalizáció kaszkádolt gyenge osztályozók használatával0 aQR kód lokalizáció kaszkádolt gyenge osztályozók használatával aKecskemét, MagyarországcJan 2015 a712-7211 aBodnár, Péter1 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/qr-kod-lokalizacio-kaszkadolt-gyenge-osztalyozok-hasznalataval00621nas a2200145 4500008004100000245009400041210007900135260004000214300001200254100002000266700002800286700001900314700002000333856012200353 2015 hun d00aVizuális kódok lokalizációja mély egyenirányított neurális háló használatával0 aVizuális kódok lokalizációja mély egyenirányított neurális háló aKecskemét, MagyarországcJan 2015 a546-5611 aBodnár, Péter1 aNyúl, László, Gábor1 aGrósz, Tamás1 aTóth, László uhttps://www.inf.u-szeged.hu/publication/vizualis-kodok-lokalizacioja-mely-egyeniranyitott-neuralis-halo-hasznalataval00539nas a2200121 4500008004100000245008400041210007700125260004000202300001200242100002000254700002800274856011500302 2015 hun d00aVonalkódok és természetes vizuális azonosítók felismerése valós időben0 aVonalkódok és természetes vizuális azonosítók felismerése valós aKecskemét, MagyarországcJan 2015 a562-5771 aKatona, Melinda1 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/vonalkodok-es-termeszetes-vizualis-azonositok-felismerese-valos-idoben00462nas a2200121 4500008004100000245006700041210006700108300001000175490000700185100002000192700002800212856010000240 2014 eng d00aAutomatikus azonosítás és hitelesítés vizuális kódokkal0 aAutomatikus azonosítás és hitelesítés vizuális kódokkal a40-470 v691 aKatona, Melinda1 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/automatikus-azonositas-es-hitelesites-vizualis-kodokkal00537nas a2200121 4500008004100000245007000041210006900111260007000180300000700250100002000257700002800277856011000305 2014 eng d00aFast recognition of natural feature identifiers by a mobile phone0 aFast recognition of natural feature identifiers by a mobile phon aSzegedbInstitute of Informatics, University of SzegedcJune 2014 a261 aKatona, Melinda1 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/fast-recognition-of-natural-feature-identifiers-by-a-mobile-phone00833nas a2200253 4500008004100000022002200041245005600063210005500119260005200174300001200226100002000238700001800258700001700276700001600293700002000309700002800329700002300357700001900380700002700399700001900426700001800445700002400463856009200487 2014 hun d a978-963-473-712-400aKépfeldolgozás a szegedi informatikus-képzésben0 aKépfeldolgozás a szegedi informatikusképzésben aDebrecen, HungarybUniversity of Debrecenc2014 a667-6751 aBalázs, Péter1 aKatona, Endre1 aKato, Zoltan1 aNagy, Antal1 aNémeth, Gábor1 aNyúl, László, Gábor1 aPalágyi, Kálmán1 aTanacs, Attila1 aVarga, László Gábor1 aKunkli, Roland1 aPapp, Ildikó1 aRutkovszky, Edéné uhttps://www.inf.u-szeged.hu/publication/kepfeldolgozas-a-szegedi-informatikus-kepzesben01716nas a2200157 4500008004100000020001400041245007000055210006900125260000900194520115400203100002701357700002801384700001601412700002001428856011001448 2014 eng d a1077-314200aLocal and global uncertainty in binary tomographic reconstruction0 aLocal and global uncertainty in binary tomographic reconstructio c20143 a
In binary tomography the goal is to reconstruct the innerstructure of homogeneous objects from their projections. This is usually required from a low number of projections, which are also likely to be affected by noise and measurement errors. In general, the distorted and incomplete projection data holds insufficient information for the correct reconstruction of the original object. In this paper, we describe two methods for approximating the local uncertainty of the reconstructions, i.e., identifying how the information stored in the projections determine each part of the reconstructed image. These methods can measure the uncertainty of the reconstruction without any knowledge from the original object itself. Moreover, we provide a global uncertainty measure that can assess the information content of a projection set and predict the error to be expected in the reconstruction of a homogeneous object. We also give an experimental evaluation of our proposed methods, mention some of their possible applications, and describe how the uncertainty measure can be used to improve the performance of the DART reconstruction algorithm.
1 aVarga, László Gábor1 aNyúl, László, Gábor1 aNagy, Antal1 aBalázs, Péter uhttps://www.inf.u-szeged.hu/publication/local-and-global-uncertainty-in-binary-tomographic-reconstruction00700nas a2200181 4500008004100000245008600041210006900127260003100196100002000227700001900247700002000266700002800286700002000314700001900334700001900353700002000372856012600392 2014 eng d00aLocalization of Visual Codes in the DCT Domain Using Deep Rectier Neural Networks0 aLocalization of Visual Codes in the DCT Domain Using Deep Rectie aSetúbalbSCITEPRESSc20141 aBodnár, Péter1 aGrósz, Tamás1 aTóth, László1 aNyúl, László, Gábor1 aFilipe, Joaquim1 aGusikhin, Oleg1 aMadani, Kurosh1 aSasiadek, Jurek uhttps://www.inf.u-szeged.hu/publication/localization-of-visual-codes-in-the-dct-domain-using-deep-rectier-neural-networks00565nas a2200121 4500008003900000020002200039245009300061210007800154260004800232300001200280100002800292856012300320 2014 d a978-963-396-040-000aOrvosi képfeldolgozás az SZTE Képfeldolgozás és Számítógépes Grafika Tanszéken0 aOrvosi képfeldolgozás az SZTE Képfeldolgozás és Számítógépes Gra aSzeged, HungarybPannon Egyetem, Veszprém a119-1221 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/orvosi-kepfeldolgozas-az-szte-kepfeldolgozas-es-szamitogepes-grafika-tanszeken00532nas a2200121 4500008004100000245006700041210006700108260007000175300001000245100002000255700002800275856010700303 2014 eng d00aQR Code Localization Using Boosted Cascade of Weak Classifiers0 aQR Code Localization Using Boosted Cascade of Weak Classifiers aSzegedbInstitute of Informatics, University of SzegedcJune 2014 a6 - 71 aBodnár, Péter1 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/qr-code-localization-using-boosted-cascade-of-weak-classifiers01166nas a2200145 4500008004100000245006700041210006700108260005000175520059600225100002000821700002800841700001900869700002300888856010900911 2014 eng d00aQR Code Localization Using Boosted Cascade of Weak Classifiers0 aQR Code Localization Using Boosted Cascade of Weak Classifiers aVilamura, PortugalbSpringer-VerlagcOct 20143 aUsage of computer-readable visual codes became common in oureveryday life at industrial environments and private use. The reading process of visual codes consists of two steps: localization and data decoding. Unsupervised localization is desirable at industrial setups and for visually impaired people. This paper examines localization efficiency of cascade classifiers using Haar-like features, Local Binary Patterns and Histograms of Oriented Gradients, trained for the finder patterns of QR codes and for the whole code region as well, and proposes improvements in post-processing.
1 aBodnár, Péter1 aNyúl, László, Gábor1 aKamel, Mohamed1 aCampilho, Aurélio uhttps://www.inf.u-szeged.hu/publication/qr-code-localization-using-boosted-cascade-of-weak-classifiers-000651nas a2200193 4500008004100000245005200041210005200093260004400145100001900189700002000208700002000228700002800248700001900276700001800295700001700313700001600330700001900346856009200365 2014 eng d00aQR code localization using deep neural networks0 aQR code localization using deep neural networks aSep 2014, Reims, FrancebIEEEcSep 20141 aGrósz, Tamás1 aBodnár, Péter1 aTóth, László1 aNyúl, László, Gábor1 aMamadou, Mboup1 aTülay, Adali1 aMoreau, Eric1 aLarsen, Jan1 aGuelton, Kevin uhttps://www.inf.u-szeged.hu/publication/qr-code-localization-using-deep-neural-networks00765nas a2200217 4500008004100000245007700041210006900118260003200187300001200219490000900231100002300240700002100263700002000284700002800304700002100332700002200353700001800375700001900393700001800412856011700430 2014 eng d00aWlab of University of Szeged at ImageCLEF 2014 Plant Identification Task0 aWlab of University of Szeged at ImageCLEF 2014 Plant Identificat aSheffield, UKbCEUR-WScSep a685-6920 v11801 aBánhalmi, András1 aPaczolay, Dénes1 aBilicki, Vilmos1 aNyúl, László, Gábor1 aSárosi, Árpád1 aCappellato, Linda1 aFerro, Nicola1 aHalvey, Martin1 aKraai, Wessel uhttps://www.inf.u-szeged.hu/publication/wlab-of-university-of-szeged-at-imageclef-2014-plant-identification-task01096nas a2200157 4500008004100000020001400041245008400055210006900139260000900208300001200217490000700229520053200236100002000768700002800788856012200816 2013 eng d a0324-721X00aBarcode detection using local analysis, mathematical morphology, and clustering0 aBarcode detection using local analysis mathematical morphology a c2013 a21 - 350 v213 aBarcode detection is required in a wide range of real-lifeapplications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we built barcode detectors using morphological operations and uniform partitioning with several approaches and showed their behaviour on a set of test images. In this work, we extend those ideas with clustering, contrast measuring, distance transformation and probabilistic Hough transformation.
1 aBodnár, Péter1 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/barcode-detection-using-local-analysis-mathematical-morphology-and-clustering01045nas a2200145 4500008004100000245007600041210006900117260005400186300001200240520052600252100002000778700002800798700001400826856005900840 2013 eng d00aBarcode detection with uniform partitioning and distance transformation0 aBarcode detection with uniform partitioning and distance transfo aInnsbruck, AustriabIASTED - Acta PresscFeb 2013 a48 - 533 aBarcode detection is required in a wide range of real-lifeapplications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we used uniform partitioning with several approaches for detection of various types of 1D and 2D barcodes and showed their behaviour on a set of test images. In this work, we extend the partitioning idea and replace scan-line based methods with distance transformation to improve accuracy.
1 aBodnár, Péter1 aNyúl, László, Gábor1 aLinsen, L uhttp://www.actapress.com/PaperInfo.aspx?paperId=45498801468nas a2200169 4500008004100000245005600041210005600097260004600153300001100199520089100210100002501101700002801126700002001154700003101174700002601205856006701231 2013 eng d00aDirectional Convexity Measure for Binary Tomography0 aDirectional Convexity Measure for Binary Tomography aBerlin; HeidelbergbSpringer Verlagc2013 a9 - 163 aThere is an increasing demand for a new measure of convexity fordiscrete sets for various applications. For example, the well- known measures for h-, v-, and hv-convexity of discrete sets in binary tomography pose rigorous criteria to be satisfied. Currently, there is no commonly accepted, unified view on what type of discrete sets should be considered nearly hv-convex, or to what extent a given discrete set can be considered convex, in case it does not satisfy the strict conditions. We propose a novel directional convexity measure for discrete sets based on various properties of the configuration of 0s and 1s in the set. It can be supported by proper theory, is easy to compute, and according to our experiments, it behaves intuitively. We expect it to become a useful alternative to other convexity measures in situations where the classical definitions cannot be used.
1 aTasi, Tamás Sámuel1 aNyúl, László, Gábor1 aBalázs, Péter1 aSanniti di Baja, Gabriella1 aRuiz-Shulcloper, Jose uhttp://link.springer.com/chapter/10.1007%2F978-3-642-41827-3_201550nas a2200169 4500008004100000245007200041210006900113260005000182300001400232520091200246100002001158700002801178700002101206700002301227700001801250856011201268 2013 eng d00aEfficient 1D and 2D barcode detection using mathematical morphology0 aEfficient 1D and 2D barcode detection using mathematical morphol aBerlin; HeidelbergbSpringer-VerlagcMay 2013 a464 - 4753 aBarcode technology is essential in automatic identification,and is used in a wide range of real-time applications. Different code types and applications impose special problems, so there is a continuous need for solutions with improved performance. Several methods exist for code localization, that are well characterized by accuracy and speed. Particularly, high-speed processing places need reliable automatic barcode localization, e.g. conveyor belts and automated production, where missed detections cause loss of profit. Our goal is to detect automatically, rapidly and accurately the barcode location with the help of extracted image features. We propose a new algorithm variant, that outperforms in both accuracy and efficiency other detectors found in the literature using similar ideas, and also improves on the detection performance in detecting 2D codes compared to our previous algorithm.
1 aKatona, Melinda1 aNyúl, László, Gábor1 aLuengo, Chris, L1 aBorgefors, Gunilla1 aStrand, Robin uhttps://www.inf.u-szeged.hu/publication/efficient-1d-and-2d-barcode-detection-using-mathematical-morphology00547nas a2200133 4500008004100000245007100041210006900112260003800181300001400219100002000233700002800253700002100281856011100302 2013 eng d00aImproved 1D and 2D barcode detection with morphological operations0 aImproved 1D and 2D barcode detection with morphological operatio aVeszprémbNJSZT-KÉPAFcJan 2013 a309 - 3241 aKatona, Melinda1 aNyúl, László, Gábor1 aCzúni, László uhttps://www.inf.u-szeged.hu/publication/improved-1d-and-2d-barcode-detection-with-morphological-operations01266nas a2200169 4500008004100000245005900041210005900100260004300159300001400202520067100216100002700887700002800914700001600942700002000958700001900978856009900997 2013 eng d00aLocal uncertainty in binary tomographic reconstruction0 aLocal uncertainty in binary tomographic reconstruction aCalgarybIASTED - Acta PresscFeb 2013 a490 - 4963 aWe describe a new approach for the uncertainty problem arisingin the field of discrete tomography, when the low number of projections does not hold enough information for an accurate, and reliable reconstruction. In this case the lack of information results in uncertain parts on the reconstructed image which are not determined by the projections and cannot be reliably reconstructed without additional information. We provide a method that can approximate this local uncertainty of reconstructions, and show how each pixel of the reconstructed image is determined by a set of given projections. We also give experimental results for validating our approach.
1 aVarga, László Gábor1 aNyúl, László, Gábor1 aNagy, Antal1 aBalázs, Péter1 aKampel, Martin uhttps://www.inf.u-szeged.hu/publication/local-uncertainty-in-binary-tomographic-reconstruction01091nas a2200157 4500008004100000245006000041210005800101260003900159300001400198520053100212100002000743700002800763700001900791700002300810856010000833 2013 eng d00aA Novel Method for Barcode Localization in Image Domain0 aNovel Method for Barcode Localization in Image Domain aBerlinbSpringer-VerlagcJune 2013 a189 - 1963 aBarcode localization is an essential step of the barcode readingprocess. For industrial environments, having high-resolution cameras and eventful scenarios, fast and reliable localization is crucial. Images acquired in those setups have limited parameters, however, they vary at each application. In earlier works we have already presented various barcode features to track for localization process. In this paper, we present a novel approach for fast barcode localization using a limited set of pixels in image domain.
1 aBodnár, Péter1 aNyúl, László, Gábor1 aKamel, Mohamed1 aCampilho, Aurélio uhttps://www.inf.u-szeged.hu/publication/a-novel-method-for-barcode-localization-in-image-domain00584nas a2200133 4500008004100000245009100041210007800132260003800210300001400248100002000262700002800282700002100310856011900331 2013 hun d00aVizuális kódok lokalizálásának javítása egyszerű jellemzők kombinációjával0 aVizuális kódok lokalizálásának javítása egyszerű jellemzők kombi aVeszprémbNJSZT-KÉPAFcJan 2013 a483 - 4951 aBodnár, Péter1 aNyúl, László, Gábor1 aCzúni, László uhttps://www.inf.u-szeged.hu/publication/vizualis-kodok-lokalizalasanak-javitasa-egyszeru-jellemzok-kombinaciojaval01090nas a2200169 4500008004100000245006700041210006700108260004900175300001200224520047500236100002000711700002800731700001400759700001500773700002500788856010700813 2012 eng d00aBarcode Detection with Morphological Operations and Clustering0 aBarcode Detection with Morphological Operations and Clustering aCrete, GreekbIASTED - Acta PresscJune 2012 a51 - 573 aBarcode detection has many applications and detection methods. Each application has its own requirements for speed and detection accuracy. Fine-tuning, upgrading or combining existing methods gives fast and robust solutions for detection. Modern computer vision techniques help the whole process to be fully automated. Different detection approaches are examined in this paper, and new methods are introduced.
1 aBodnár, Péter1 aNyúl, László, Gábor1 aPetrou, M1 aSappa, A D1 aTriantafyllidis, A G uhttps://www.inf.u-szeged.hu/publication/barcode-detection-with-morphological-operations-and-clustering00554nas a2200121 4500008004100000245007700041210006900118260007000187300001000257100002000267700002800287856011700315 2012 eng d00aBarcode Detection with Uniform Partitioning and Morphological Operations0 aBarcode Detection with Uniform Partitioning and Morphological Op aSzegedbUniversity of Szeged, Institute of InformaticscJune 2012 a4 - 51 aBodnár, Péter1 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/barcode-detection-with-uniform-partitioning-and-morphological-operations01572nas a2200181 4500008004100000245006900041210006900110260003400179300001400213520092800227100002001155700002801175700002101203700002001224700002001244700001701264856010901281 2012 eng d00aImproving barcode detection with combination of simple detectors0 aImproving barcode detection with combination of simple detectors aNaples, ItalybIEEEcNov 2012 a300 - 3063 aBarcode detection is required in a wide range of real-life applications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we built barcode detectors using morphological operations and uniform partitioning with several approaches and showed their behaviour on a set of test images. In this work, we examine ensemble efficiency of those simple detectors using various aggregation methods. Using a combination of several simple features localization performance improves significantly.
1 aBodnár, Péter1 aNyúl, László, Gábor1 aYetongnon, Kokou1 aChbeir, Richard1 aDipanda, Albert1 aGallo, Luigi uhttps://www.inf.u-szeged.hu/publication/improving-barcode-detection-with-combination-of-simple-detectors02235nas a2200193 4500008004100000020002300041245009400064210006900158260003400227300001400261520150600275100002001781700002801801700002101829700002001850700002001870700001701890856013401907 2012 eng d a978-1-4673-5152-2 00aA novel method for accurate and efficient barcode detection with morphological operations0 anovel method for accurate and efficient barcode detection with m aNaples, ItalybIEEEcNov 2012 a307 - 3143 a
Barcode technology is the pillar of automatic identification, that is used in a wide range of real-time applications with various types of codes. The different types of codes and applications impose special problems, so there is a continuous need for solutions with improved effectiveness. There are several methods for barcode localization, that are well characterized by accuracy and speed. Particularly, high-speed processing places need automatic barcode localization, e.g. conveyor belts, automated production, where missed detections cause loss of profit. In this paper, we mainly deal with segmentation of images with 1D barcode, but also analyze the operation of different methods for 2D barcode images as well. Our goal is to detect automatically, rapidly and accurately the barcode location by the help of extracted features. We compare some published method from the literature, which basically rely on the contrast between the background and the shape that represent the code. We also propose a novel algorithm, that outperforms the others in both accuracy and efficiency in detecting 1D codes.
1 aKatona, Melinda1 aNyúl, László, Gábor1 aYetongnon, Kokou1 aChbeir, Richard1 aDipanda, Albert1 aGallo, Luigi uhttps://www.inf.u-szeged.hu/publication/a-novel-method-for-accurate-and-efficient-barcode-detection-with-morphological-operations00545nas a2200145 4500008004100000245007400041210006900115260003000184490000900214100001600223700001900239700002800258700001400286856009900300 2011 eng d00aMIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis0 aMIPPR 2011 Multispectral Image Acquisition Processing and Analys aGuilin, ChinabSPIEc20110 v80021 aCao, Zhigou1 aFenster, Aaron1 aNyúl, László, Gábor1 aCai, Chao uhttps://www.inf.u-szeged.hu/mippr-2011-multispectral-image-acquisition-processing-and-analysis01929nas a2200193 4500008004100000020001400041245007900055210006900134260000900203300001400212490000700226520127600233100001901509700001701528700002801545700002301573700002101596856011801617 2010 eng d a1361-841500aGlaucoma Risk Index: Automated glaucoma detection from color fundus images0 aGlaucoma Risk Index Automated glaucoma detection from color fund c2010 a471 - 4810 v143 a
Glaucoma as a neurodegeneration of the optic nerve is one of themost common causes of blindness. Because revitalization of the degenerated nerve fibers of the optic nerve is impossible early detection of the disease is essential. This can be supported by a robust and automated mass-screening. We propose a novel automated glaucoma detection system that operates on inexpensive to acquire and widely used digital color fundus images. After a glaucoma specific preprocessing, different generic feature types are compressed by an appearance-based dimension reduction technique. Subsequently, a probabilistic two-stage classification scheme combines these features types to extract the novel Glaucoma Risk Index (GRI) that shows a reasonable glaucoma detection performance. On a sample set of 575 fundus images a classification accuracy of 80% has been achieved in a 5-fold cross-validation setup. The GRI gains a competitive area under ROC (AUC) of 88% compared to the established topography- based glaucoma probability score of scanning laser tomography with AUC of 87%. The proposed color fundus image-based GRI achieves a competitive and reliable detection performance on a low-priced modality by the statistical analysis of entire images of the optic nerve head.
1 aBock, Rudriger1 aMeier, Jörg1 aNyúl, László, Gábor1 aHornegger, Joachim1 aMichelson, Georg uhttps://www.inf.u-szeged.hu/publication/glaucoma-risk-index-automated-glaucoma-detection-from-color-fundus-images00462nas a2200097 4500008004100000245008900041210006900130260000900199100002800208856012800236 2010 eng d00aImage analysis methods for medical research, diagnostic and therapeutic applications0 aImage analysis methods for medical research diagnostic and thera c20101 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/image-analysis-methods-for-medical-research-diagnostic-and-therapeutic-applications00679nas a2200157 4500008004100000245010800041210006900149260003800218490001800256100002000274700001800294700002800312700001700340700001600357856014800373 2009 eng d00aMethod and system for automatically segmenting organs from three dimensional computed tomography images0 aMethod and system for automatically segmenting organs from three aAmerikai Egyesült Államokc20090 vUS200509076901 aFidrich, Márta1 aMáté, Eörs1 aNyúl, László, Gábor1 aKuba, Attila1 aKiss, Bence uhttps://www.inf.u-szeged.hu/publication/method-and-system-for-automatically-segmenting-organs-from-three-dimensional-computed-tomography-images00581nam a2200157 4500008004100000020001900041245006300060210006200123260004300185490000900228100002200237700001500259700002800274700001900302856010200321 2009 eng d a9780819478054 00aMIPPR 2009: Multispectral Image Acquisition and Processing0 aMIPPR 2009 Multispectral Image Acquisition and Processing aBellingham; WashingtonbSPIEcOct 20090 v74941 aUdupa, Jayaram, K1 aSang, Nong1 aNyúl, László, Gábor1 aTong, Hengqing uhttps://www.inf.u-szeged.hu/publication/mippr-2009-multispectral-image-acquisition-and-processing03178nas a2200193 4500008004100000020001400041245011300055210006900168260000900237300000800246490000700254520246200261100001902723700001702742700002802759700002302787700002102810856015302831 2009 eng d a0146-040400aMultimodal Automated Glaucoma Detection Combining the Glaucoma Probability Score and the Glaucoma Risk Index0 aMultimodal Automated Glaucoma Detection Combining the Glaucoma P c2009 a3240 v503 aPurpose:Fundus camera and Heidelberg Retina Tomograph (HRT) arecommonly used for reliable glaucoma diagnosis. Quantitative glaucoma scores, however, do not utilize both image content simultaneously. We propose the combination of topography and fundus image based indices for automated glaucoma detection which outperforms their sole application of either. Methods:The probabilistic values of topography based Glaucoma Probability Score (GPS) and our fundus image based Glaucoma Risk Index (GRI) are assembled to a two-dimensional feature space. In contrast to established methods the subsequent application of a probabilistic nu-Support Vector Machine classifier (nu = 0.5, kernel: radial basis function) uses both the topographic and the textural information to determine a final glaucoma probability. Instances labeled with a final probability greater than 0.5 are considered glaucomatous.For the evaluations in a 10-fold cross- validation setup, we took a sample set (mean age: 55.4 ± 10.9 years) of papilla images of 149 glaucomatous patients (FDT test time 67.4 ± 35.6 s) and 246 normals from the Erlangen Glaucoma Registry. The gold standard diagnosis was given by a glaucoma specialist based on an elaborate ophthalmological examination with ophthalmoscopy, visual field, IOP, FDT, and HRT II. The GPS was calculated by HRT device while papilla centered color fundus images (Kowa non-myd, FOV 22°) were used to calculate the GRI. Results:The classification of the GRI resulted in an area under ROC curve (AUC) of 0.81 with an F-measure of 0.71 for glaucomatous cases and 0.83 for normals. The GPS achieved an AUC of 0.86 while the F-measure for glaucoma was 0.74 (F-measure for healthy was 0.84).The combination of both indices clearly increased the AUC by 4% up to 0.9 compared to the sole application of the GPS. The F-measure for glaucomatous images was improved up to 0.76 (F-measure for healthy images was 0.86). Conclusions:The proposed combination of the topography based GPS and the fundus image based GRI shows superior performance compared to either index alone.Both indices utilize complementary information about the glaucoma disease. Consequently, this multimodal combined application of both indices is promising to reach a more reliable automated glaucoma detection performance. The approach can be used in large screening applications where an automated tool is essential to support the experts in finding glaucomatous eyes.
1 aBock, Rudriger1 aMeier, Jörg1 aNyúl, László, Gábor1 aHornegger, Joachim1 aMichelson, Georg uhttps://www.inf.u-szeged.hu/publication/multimodal-automated-glaucoma-detection-combining-the-glaucoma-probability-score-and-the-glaucoma-risk-index00419nas a2200145 4500008004100000020001400041245003300055210003300088260001200121300000800133490000800141100002800149700002300177856007300200 2009 eng d a0166-218X00aPreface to the Special Issue0 aPreface to the Special Issue c2009/// a4370 v1571 aNyúl, László, Gábor1 aPalágyi, Kálmán uhttps://www.inf.u-szeged.hu/publication/preface-to-the-special-issue01965nas a2200169 4500008004100000245006600041210006600107260003900173300002400212520136000236100002801596700001701624700001501641700001901656700001401675856010601689 2009 eng d00aRetinal image analysis for automated glaucoma risk evaluation0 aRetinal image analysis for automated glaucoma risk evaluation aBellingham; WashingtonbSPIEc2009 a74971C-1 - 74971C-93 aImages of the eye ground not only provide an insight toimportant parts of the visual system but also reflect the general state of health of the entire human body. Automatic retina image analysis is becoming an important screening tool for early detection of certain risks and diseases. Glaucoma is one of the most common causes of blindness and is becoming even more important considering the ageing society. Robust mass-screening may help to extend the symptom-free life of affected patients. Our research is focused on a novel automated classification system for glaucoma, based on image features from fundus photographs. Our new data-driven approach requires no manual assistance and does not depend on explicit structure segmentation and measurements. First, disease independent variations, such as nonuniform illumination, size differences, and blood vessels are eliminated from the images. Then, the extracted high-dimensional feature vectors are compressed via PCA and combined before classification with SVMs takes place. The technique achieves an accuracy of detecting glaucomatous retina fundus images comparable to that of human experts. The “vessel- free” images and intermediate output of the methods are novel representations of the data for the physicians that may provide new insight into and help to better understand glaucoma.
1 aNyúl, László, Gábor1 aLiu, Jianguo1 aDoi, Kunio1 aFenster, Aaron1 aChan, C S uhttps://www.inf.u-szeged.hu/publication/retinal-image-analysis-for-automated-glaucoma-risk-evaluation02693nas a2200193 4500008004100000020001400041245006300055210006300118260000900181300000900190490000700199520208200206100001902288700001702307700002802324700002302352700002102375856010302396 2008 eng d a0146-040400aAutomated Glaucoma Detection From Color Fundus Photographs0 aAutomated Glaucoma Detection From Color Fundus Photographs c2008 a18630 v493 aPurpose:The presentation of a novel fully automated system thatseparates glaucomatous from healthy cases based on digital fundus images. Methods:A pre-processing step eliminates certain disease independent variations such as illumination inhomogeneities, papilla size differences and vessel structures from the input images. In order to characterize glaucomatous changes, generic feature types (pixel intensities, frequency coefficients, histogram parameters, Gabor textures, spline coefficients) are extracted. In contrast to existing approaches, each feature vector is compressed by Principal Component Analysis. The classification of the transformed features is done by a state- of-the-art nu-Support Vector Machine.For the elaborate experimental evaluation of the proposed system architecture we took a large set of papilla-centered color fundus images of 100 glaucoma patients (FDT test time 67.25 ± 33.4 s) and 100 normals (overall mean age 57.0 ± 10.0 years) from the Erlangen Glaucoma Registry (Kowa non-myd, FOV 22,5°). The gold standard was given by an experienced ophthalmologist based on a complete ophthalmological examination with ophthalmoscopy, visual field, IOP, FDT, and HRT II. Results:Classification of compressed raw pixel intensities gained a success rate of 83% with a specificity of 0.72 and a sensitivity of 0.94 to detect glaucomatous cases. A success rate of 86% was achieved by using spline coefficients with a specificity of 0.78 and a sensitivity of 0.94 to detect glaucoma. The combination of both features slightly increased specificity to 0.82 (sensitivity = 0.92). The kappa statistic of 0.74 states a robust classification scheme. Conclusions:The proposed algorithm achieves a robust and competitive glaucoma detection rate. It is comparable to known methods applied to topographic papilla images and does not depend on segmentation-based measurements. For the first time, automated glaucoma detection is performed on color fundus images. Thus, fundus photography is an appropriate modality for computer-assisted glaucoma screening.
1 aBock, Rudriger1 aMeier, Jörg1 aNyúl, László, Gábor1 aHornegger, Joachim1 aMichelson, Georg uhttps://www.inf.u-szeged.hu/publication/automated-glaucoma-detection-from-color-fundus-photographs02754nas a2200205 4500008004100000020001400041245012500055210006900180260001900249300000900268490000700277520197900284100001702263700001902280700001402299700002802313700002302341700002102364856016302385 2008 eng d a0146-040400aThe Erlanger Glaucoma Matrix - A Visualization Approach Towards Optimal Glaucomatous Optic Nerve Head Image Presentation0 aErlanger Glaucoma Matrix A Visualization Approach Towards Optima bArvocMay 2008 a18930 v493 aPurpose:Presentation of a two-dimensional visualization approachfor intuitive and reliable glaucoma diagnosis and for setting a current observation into a relationship with pre-diagnosed data. Methods:We present a new matrix visualization technique for digital optic nerve head images. The matrix is filled with 300 pre-diagnosed reference images which show different papilla sizes and varying stages of glaucoma disease. In matrix rows the samples range from healthy ones to advanced glaucoma cases. In matrix columns the papillas are ordered by the size of the optic nerve head. The approach generalizes such that the samples can be ordered by additional criteria, too, e. g. subjects' age or anamnestic risk factors. Furthermore arbitrary image modalities and image numbers can be incorporated. Results:The glaucoma classification of a single image is difficult even for experts. Our proposed visualization provides an intuitive way for neighborhood comparisons of optic nerve head images. It allows to evaluate an image in the context of given pre-diagnosed reference samples. By the two-dimensional presentation one can study disease-dependent changes separate from other variations. Glaucoma progression can be observed separated from size variations. Thus, it supports diagnosis even in problematic cases such as macropapillas. The trustworthiness of physicians' diagnosis can be improved. Conclusions:Our approach gives insights on glaucomatous optic nerve appearance in relation to varying papilla sizes. The novel visualization of a single image within the context of other images is considered as an important tool for learning and training medical glaucoma detection. This approach visualizes computer calculated risk estimations by presenting the result within context of given gold-standard images. In contrast to pure classification systems our method does not come up with a hard decision but explains the relationship to similar pre- diagnosed cases.
1 aMeier, Jörg1 aBock, Rudriger1 aForman, C1 aNyúl, László, Gábor1 aHornegger, Joachim1 aMichelson, Georg uhttps://www.inf.u-szeged.hu/publication/the-erlanger-glaucoma-matrix-a-visualization-approach-towards-optimal-glaucomatous-optic-nerve-head-image-presentation01184nas a2200193 4500008004100000020001400041245007700055210006900132260001300201300001400214490000700228520053400235100001900769700001800788700002800806700001700834700002000851856011900871 2008 eng d a0094-240500aGeometrical model-based segmentation of the organs of sight on CT images0 aGeometrical modelbased segmentation of the organs of sight on CT cFeb 2008 a735 - 7430 v353 aSegmentation of organs of sight such as the eyeballs, lenses,and optic nerves is a time consuming task for clinicians. The small size of the organs and the similar density of the surrounding tissues make the segmentation difficult. We developed a new algorithm to segment these organs with minimal user interaction. The algorithm needs only three seed points to fit an initial geometrical model to start an effective segmentation. The clinical evaluation shows that the output of our method is useful in clinical practice.
1 aBekes, György1 aMáté, Eörs1 aNyúl, László, Gábor1 aKuba, Attila1 aFidrich, Márta uhttps://www.inf.u-szeged.hu/publication/geometrical-model-based-segmentation-of-the-organs-of-sight-on-ct-images-001602nas a2200229 4500008004100000245006200041210006000103260005800163520086900221100002001090700002401110700001801134700001701152700001801169700001601187700002801203700002301231700001901254700001901273700002001292856006001312 2008 eng d00aA képfeldolgozás kutatása a Szegedi Tudományegyetemen0 aképfeldolgozás kutatása a Szegedi Tudományegyetemen aDebrecenbDebreceni Egyetem Informatikai Karc2008///3 aA digitális képfeldolgozás kutatásának a Szegedi TudományegyetemTermészettudományi és Informatikai Karán, az Informatikai Tanszékcsoport Képfeldolgozás és Számítógépes Grafika Tanszékén közel négy évtizedes hagyománya van. A Tanszék valamennyi munkatársa nemzetközileg elismert kutatómunkát folytat, melyet már több száz rangos publikáció fémjelez. Számos, a képfeldolgozás kutatásában vezető egyetemmel és kutatóintézettel építettünk ki szoros kapcsolatot és folytattunk eredményes kutatómunkát, aktív résztvevői vagyunk a hazai és a nemzetközi tudományos közéletnek. A legfontosabb, jelenleg is folyó kutatásaink: orvosi képek feldolgozása, diszkrét tomográfia, képszegmentálás, térinformatika, távérzékelés, képregisztráció, vázkijelölés, műtéti tervezés. 1 aBalázs, Péter1 aErdőhelyi, Balázs1 aKatona, Endre1 aKato, Zoltan1 aMáté, Eörs1 aNagy, Antal1 aNyúl, László, Gábor1 aPalágyi, Kálmán1 aTanacs, Attila1 aPethő, Attila1 aHerdon, Miklós uhttp://www.agr.unideb.hu/if2008/kiadvany/papers/E62.pdf01528nas a2200205 4500008004100000245010500041210006900146260004900215300001400264520073300278100001701011700001901028700002801047700002301075700002101098700001601119700002201135700002001157856014501177 2008 eng d00aNovel Visualization Approach of an Automated Image Based Glaucoma Risk Index for Intuitive Diagnosis0 aNovel Visualization Approach of an Automated Image Based Glaucom aBrnobBrno University of Technologyc2008/// a205 - 2093 aGlaucoma is one of the most common causes for blindnessworldwide. Screening is adequate to detect glaucoma at an early stage. Although it is supported by computer assisted tools no further information from former clinical studies is incorporated. We devised a novel visualization tool that presents additional comparative image data for the diagnosis process. Automated computation of a glaucoma risk index on color fundus photographs is used to initially position an undiagnosed image in reference data. The index achieves a competitive glaucoma detection rate. The combination of the automated risk index and the new visualization technique is an important tool towards a faster and more reliable diagnosis of glaucoma.
1 aMeier, Jörg1 aBock, Rudriger1 aNyúl, László, Gábor1 aHornegger, Joachim1 aMichelson, Georg1 aJan, Jiří1 aKonzuplik, Jiří1 aProvazník, Ivo uhttps://www.inf.u-szeged.hu/publication/novel-visualization-approach-of-an-automated-image-based-glaucoma-risk-index-for-intuitive-diagnosis00670nas a2200181 4500008004100000245007300041210006900114260003800183490001800221100002000239700001700259700001800276700001800294700001700312700002800329700001800357856011300375 2008 eng d00aSystems and methods for segmenting an organ in a plurality of images0 aSystems and methods for segmenting an organ in a plurality of im aAmerikai Egyesült Államokc20080 vUS200408582411 aFidrich, Márta1 aMakay, Géza1 aMáté, Eörs1 aBalogh, Emese1 aKuba, Attila1 aNyúl, László, Gábor1 aKanyó, Judit uhttps://www.inf.u-szeged.hu/publication/systems-and-methods-for-segmenting-an-organ-in-a-plurality-of-images01901nas a2200229 4500008004100000245007400041210006900115260003400184300001400218520110100232100002001333700001801353700002901371700002301400700002801423700002301451700002001474700001901494700002201513700002201535856011401557 2008 eng d00aTechniques of Virtual Dissection of the Colon Based on Spiral CT Data0 aTechniques of Virtual Dissection of the Colon Based on Spiral CT aBerlinbSpringer-Verlagc2008 a257 - 2683 aColorectal cancer represents the third most commonly diagnosedcancer and is the second leading cause of cancer deaths in the United States (Gazelle et al. 2000). In addition, colorectal cancer is responsible for about 11% of all new cancer cases per year (Gazelle et al. 2000). Five-year prognosis is about 90% for patients with localized disease compared to 60% if there is a regional spread and a drop to 10% in patients with distant metastasis (Gazelle et al. 2000). In the field of medicine there is a widely accepted opinion that most colorectal cancers arise from pre-existent adenomatous polyps (Johnson 2000). Therefore, different societies, such as the American Cancer Society, have proposed screening for colorectal cancer (Byers et al. 1997; Winawer et al. 1997). Today, different options exist for detection of colorectal cancer, including digital rectal examination, fecal occult blood testing, flexible and rigid sigmoidoscopy, barium enema and its variants, colonoscopy and recently computed tomography or magnetic resonance-based virtual colonography (Gazelle et al. 2000).
1 aSorantin, Erich1 aBalogh, Emese1 aBartroli, Anna, Vilanova1 aPalágyi, Kálmán1 aNyúl, László, Gábor1 aLindbichler, Franz1 aRuppert, Andrea1 aNeri, Emanuele1 aCaramella, Davide1 aBartolozzi, Carlo uhttps://www.inf.u-szeged.hu/publication/techniques-of-virtual-dissection-of-the-colon-based-on-spiral-ct-data01505nas a2200193 4500008004100000020001400041245006400055210006300119260001400182300001400196490000600210520089000216100001901106700002801125700001801153700001701171700002001188856010301208 2007 eng d a1861-641000a3D segmentation of liver, kidneys and spleen from CT images0 a3D segmentation of liver kidneys and spleen from CT images cJune 2007 aS45 - S470 v23 aThe clinicians often need to segment the abdominal organs forradiotherapy planning. Manual segmentation of these organs is very time-consuming, therefore automated methods are desired. We developed a semi-automatic segmentation method to outline liver, spleen and kidneys. It works on CT images without contrast intake that are acquired with a routine clinical protocol. From an initial surface around a user defined seed point, the segmentation of the organ is obtained by an active surface algorithm. Pre- and post-processing steps are used to adapt the general method for specific organs. The evaluation results show that the accuracy of our method is about 90%, which can be further improved with little manual editing, and that the precision is slightly higher than that of manual contouring. Our method is accurate, precise and fast enough to use in the clinical practice.
1 aBekes, György1 aNyúl, László, Gábor1 aMáté, Eörs1 aKuba, Attila1 aFidrich, Márta uhttps://www.inf.u-szeged.hu/publication/3d-segmentation-of-liver-kidneys-and-spleen-from-ct-images01809nas a2200289 4500008004100000245008600041210006900127260007000196300001400266490000600280520081400286100001901100700001701119700002801136700002201164700002101186700002301207700002301230700001901253700002101272700002301293700001801316700002201334700001801356700001901374856012601393 2007 eng d00aAppearance-based Approach to Extract an Age-related Biomarker from Retinal Images0 aAppearancebased Approach to Extract an Agerelated Biomarker from aErlangenbFriedrich-Alexander University Erlangen-Nurembergc2007 a127 - 1310 v13 aWe present an appearance-based method that extracts a new age-related biomarker from retina images. The Principal Component Analysis is applied on intensity values of the illumination corrected green channel of fundus images. The algorithm does not use segmentation, is robust and shows a high range of reliability. It identified an age-related feature with a strong influence of the temporal parapapillary area and the optic nerve head. The feature correlates with chronological age of the participants and is significantly influenced by the appearance of cardiovascular risk factors such as smoking and hypertension, and thus it can be designated a biomarker. We extract and validate a medical parameter from retina images applying a purely data-driven approach without using any prior knowledge.
1 aBock, Rudriger1 aMeier, Jörg1 aNyúl, László, Gábor1 aWärntges, Simone1 aMichelson, Georg1 aHornegger, Joachim1 aHornegger, Joachim1 aMayr, Ernst, W1 aSchookin, Sergey1 aFeußner, Hubertus1 aNavab, Nassir1 aGulyaev, Yuri, V.1 aHöller, Kurt1 aGanzha, Victor uhttps://www.inf.u-szeged.hu/publication/appearance-based-approach-to-extract-an-age-related-biomarker-from-retinal-images02149nas a2200229 4500008004100000020002200041022001400063245007500077210006900152260004200221300001400263520135500277100001901632700001701651700002101668700002801689700002301717700002301740700002301763700001801786856011501804 2007 eng d a978-3-540-74933-2 a0302-974300aClassifying Glaucoma with Image-based Features from Fundus Photographs0 aClassifying Glaucoma with Imagebased Features from Fundus Photog aHeidelbergbSpringer VerlagcSep 2007 a355 - 3643 aGlaucoma is one of the most common causes of blindness and it isbecoming even more important considering the ageing society. Because healing of died retinal nerve fibers is not possible early detection and prevention is essential. Robust, automated mass-screening will help to extend the symptom-free life of affected patients. We devised a novel, automated, appearance based glaucoma classification system that does not depend on segmentation based measurements. Our purely data-driven approach is applicable in large-scale screening examinations. It applies a standard pattern recognition pipeline with a 2-stage classification step. Several types of image-based features were analyzed and are combined to capture glaucomatous structures. Certain disease independent variations such as illumination inhomogeneities, size differences, and vessel structures are eliminated in the preprocessing phase. The “vessel-free” images and intermediate results of the methods are novel representations of the data for the physicians that may provide new insight into and help to better understand glaucoma. Our system achieves 86 % success rate on a data set containing a mixture of 200 real images of healthy and glaucomatous eyes. The performance of the system is comparable to human medical experts in detecting glaucomatous retina fundus images.
1 aBock, Rudriger1 aMeier, Jörg1 aMichelson, Georg1 aNyúl, László, Gábor1 aHornegger, Joachim1 aHamprecht, Fred, A1 aSchnorr, Christoph1 aJähne, Bernd uhttps://www.inf.u-szeged.hu/publication/classifying-glaucoma-with-image-based-features-from-fundus-photographs01874nas a2200229 4500008004100000020002200041022001400063245009100077210006900168260005000237300001400287520104100301100001701342700001901359700002101378700002801399700002301427700002501450700001901475700001901494856013101513 2007 eng d a978-3-540-74271-5 a0302-974300aEffects of Preprocessing Eye Fundus Images on Appearance Based Glaucoma Classification0 aEffects of Preprocessing Eye Fundus Images on Appearance Based G aBerlin; HeidelbergbSpringer VerlagcAug 2007 a165 - 1723 aEarly detection of glaucoma is essential for preventing one ofthe most common causes of blindness. Our research is focused on a novel automated classification system based on image features from fundus photographs which does not depend on structure segmentation or prior expert knowledge. Our new data driven approach that needs no manual assistance achieves an accuracy of detecting glaucomatous retina fundus images compareable to human experts. In this paper, we study image preprocessing methods to provide better input for more reliable automated glaucoma detection. We reduce disease independent variations without removing information that discriminates between images of healthy and glaucomatous eyes. In particular, nonuniform illumination is corrected, blood vessels are inpainted and the region of interest is normalized before feature extraction and subsequent classification. The effect of these steps was evaluated using principal component analysis for dimension reduction and support vector machine as classifier.
1 aMeier, Jörg1 aBock, Rudriger1 aMichelson, Georg1 aNyúl, László, Gábor1 aHornegger, Joachim1 aKropatsch, Walter, G1 aKampel, Martin1 aHanbury, Allan uhttps://www.inf.u-szeged.hu/publication/effects-of-preprocessing-eye-fundus-images-on-appearance-based-glaucoma-classification02490nas a2200193 4500008004100000020001400041245009500055210006900150260000900219300000900228490000700237520180400244100002102048700002202069700001902091700002802110700002302138856013502161 2007 eng d a0146-040400aExtraction of an Age-Related Biomarker From Retinal Images Using Appearance Based Approach0 aExtraction of an AgeRelated Biomarker From Retinal Images Using c2007 a21670 v483 aPurpose:To develop an appropriate algorithm from retina imagesusing an appearance-based version of the Principal Component Analysis and to test the age-related biomarker’s significance for patients at cardiovascular risk. Methods:Sixty-five men (age, 44.2 ± 11.4 years) and 60 women (age, 48.8 ± 12.6 years) without cardiovascular risk factors and without pathologic eye diagnosis were acquired during a clinical non-experimental cross-sectional survey and represented the control group. Forty-four hypertensive men (age, 45.5 ± 9.4 years; hypertensive for 5.9 ± 6.7 years) and 26 hypertensive women (age, 51.2 ± 7.3 years; hypertensive for 7.9 ± 7.1 years) as well as 57 male smokers (age, 41.8 ± 8.5 years; smoking for 20.6 ± 9.8 years; 15.3 ± 8.6 cigarettes per day) and 60 female smokers (age, 43.2 ± 9.5 years; smoking for 20.1 ± 10.7 years; 13.5 ± 8.1 cigarettes per day) were matched for age and sex to the respective number of control subjects. Results:The reliability of the algorithm was 0.958. The retinal biomarker correlated with age (men, -0.284, p = 0.017; women, -0.374, p = 0.001). Smokers showed a lower biomarker value (male, -0.16 ± 1.29; female, -0.12 ± 0.11) than age-matched control subjects (male, 0.72 ± 0.92, p < 0.001; female, 0.24 ± 0.98, p = 0.048). Hypertension had a similar influence to the biomarker in men (0.10 ± 0.84), but not in women (-0.46 ± 1.23) as compared to age-matched controls (male, 0.57 ± 0.95, p = 0.01; female, 0.06 ± 0.99, p = 0.09). Conclusions:The algorithm of the appearance-based version of the Principal Component Analysis identified an age-related image feature dependent on light intensity with a strong influence to the temporal parapapillary area. It may be used to identify patients at cardiovascular risk.
1 aMichelson, Georg1 aWärntges, Simone1 aBock, Rudriger1 aNyúl, László, Gábor1 aHornegger, Joachim uhttps://www.inf.u-szeged.hu/publication/extraction-of-an-age-related-biomarker-from-retinal-images-using-appearance-based-approach00590nas a2200157 4500008004100000245007700041210006900118260004600187300001200233100001700245700001900262700002800281700002100309700001500330856008700345 2007 eng d00aEye Fundus Image Processing System for Automated Glaucoma Classification0 aEye Fundus Image Processing System for Automated Glaucoma Classi aIlmenaubTechnische UniversitatcSep 2007 a81 - 841 aMeier, Jörg1 aBock, Rudriger1 aNyúl, László, Gábor1 aMichelson, Georg1 aScharff, P uhttp://www.db-thueringen.de/servlets/DerivateServlet/Derivate-12272/IWK_2007_2.pdf00533nas a2200145 4500008004100000245005600041210005600097260003000153100001900183700001700202700002800219700002100247700002300268856009600291 2007 eng d00aRetina Image Analysis System for Glaucoma Detection0 aRetina Image Analysis System for Glaucoma Detection aAachen, GermanycSep 20071 aBock, Rudriger1 aMeier, Jörg1 aNyúl, László, Gábor1 aMichelson, Georg1 aHornegger, Joachim uhttps://www.inf.u-szeged.hu/publication/retina-image-analysis-system-for-glaucoma-detection02106nas a2200253 4500008004100000020002200041022001400063245004500077210004500122260005100167300001400218520131100232100002001543700002801563700002001591700001801611700002301629700002201652700002801674700001901702700002401721700002201745856008501767 2007 eng d a978-3-540-71090-5 a1431-472X00aWhole Body MRI Intensity Standardization0 aWhole Body MRI Intensity Standardization aMünchen, GermanybSpringer-VerlagcMarch 2007 a459 - 4633 aA major problem of segmentation of magnetic resonance images isthat intensities are not standardized like in computed tomography. This article deals with the correction of inter volume intensity differences that lead to a missing anatomical meaning of the observed gray values. We present a method for MRI intensity standardization of whole body MRI scans. The approach is based on the alignment of a learned reference and the current histogram. Each of these histograms is at least 2-d and represents two or more MRI sequences (e.g., T1- and T2-weighted images). From the matching a non-linear correction function is gained which describes a mapping between the intensity spaces and consequently adapts the image statistics to a known standard. As the proposed intensity standardization is based on the statistics of the data sets only, it is independent from spatial coherences or prior segmentations of the reference and newly acquired images. Furthermore, it is not designed for a particular application, body region or acquisition protocol. The method was evaluated on whole body MRI scans containing data sets acquired by T1/FL2D and T2/TIRM sequences. In order to demonstrate the applicability, examples from noisy and pathological image series acquired on a whole body MRI scanner are given.
1 aJäger, Florian1 aNyúl, László, Gábor1 aFrericks, Bernd1 aWacker, Frank1 aHornegger, Joachim1 aHorsch, Alexander1 aDeserno, Thomas, Martin1 aHandels, Heinz1 aMeinzer, Hans-Peter1 aTolxdorff, Thomas uhttps://www.inf.u-szeged.hu/publication/whole-body-mri-intensity-standardization00740nas a2200193 4500008004100000245008700041210006900128260004600197300001400243100001800257700001600275700002000291700002300311700001700334700001700351700002800368700002300396856012700419 2006 eng d00aA benchmark evaluation of large-scale optimization approaches to binary tomography0 abenchmark evaluation of largescale optimization approaches to bi aBerlin; HeidelbergbSpringer-Verlagc2006 a146 - 1561 aWeber, Stefan1 aNagy, Antal1 aSchulle, Thomas1 aSchnorr, Christoph1 aKuba, Attila1 aKuba, Attila1 aNyúl, László, Gábor1 aPalágyi, Kálmán uhttps://www.inf.u-szeged.hu/publication/a-benchmark-evaluation-of-large-scale-optimization-approaches-to-binary-tomography01025nas a2200157 4500008004100000245004300041210004300084260002600127300000800153490000900161520057500170100001700745700002800762700002300790856005400813 2006 eng d00aDiscrete Geometry for Computer Imagery0 aDiscrete Geometry for Computer Imagery bSpringer-Verlagc2006 a6880 v42453 aThis book constitutes the refereed proceedings of the 13th International Conference on Discrete Geometry for Computer Imagery, DGCI 2006, held in Szeged, Hungary in October 2006. The 28 revised full papers and 27 revised poster papers presented together with 2 invited papers were carefully reviewed and selected from 99 submissions. The papers are organized in topical sections on discrete geometry, discrete tomography, discrete topology, distance, image analysis, shape representation, segmentation, skeletonization, as well as surfaces and volumes.
1 aKuba, Attila1 aNyúl, László, Gábor1 aPalágyi, Kálmán uhttp://www.springerlink.com/content/t38633812l42/00729nas a2200181 4500008004100000245009300041210006900134260004500203300001400248100002000262700002100282700002800303700002300331700002300354700002100377700001800398856013100416 2006 eng d00aNew advances for imaging laryngo / trachealstenosis by post processing of spiral-CT data0 aNew advances for imaging laryngo trachealstenosis by post proces aWien; New YorkbSpringer-Verlagc2006/// a297 - 3081 aSorantin, Erich1 aMohadjer, Darius1 aNyúl, László, Gábor1 aPalágyi, Kálmán1 aLindbichler, Franz1 aGeiger, Bernhard1 aHruby, Walter uhttps://www.inf.u-szeged.hu/publication/new-advances-for-imaging-laryngo-trachealstenosis-by-post-processing-of-spiral-ct-data01169nas a2200157 4500008004100000245009000041210006900131260004900200300001200249520053200261100002000793700001700813700002800830700002300858856013000881 2006 eng d00aThe number of line-convex directed polyominoes having the same orthogonal projections0 anumber of lineconvex directed polyominoes having the same orthog aBerlin, HeidelbergbSpringer-Verlagc2006/// a77 - 853 aThe number of line-convex directed polyominoes with givenhorizontal and vertical projections is studied. It is proven that diagonally convex directed polyominoes are uniquely determined by their orthogonal projections. The proof of this result is algorithmical. As a counterpart, we show that ambiguity can be exponential if antidiagonal convexity is assumed about the polyomino. Then, the results are generalised to polyominoes having convexity property along arbitrary lines. © Springer-Verlag Berlin Heidelberg 2006.
1 aBalázs, Péter1 aKuba, Attila1 aNyúl, László, Gábor1 aPalágyi, Kálmán uhttps://www.inf.u-szeged.hu/publication/the-number-of-line-convex-directed-polyominoes-having-the-same-orthogonal-projections01710nas a2200229 4500008004100000245008400041210006900125260002500194300001400219520092000233100002801153700001801181700001801199700001701217700001801234700002001252700001701272700002501289700002101314700001901335856012601354 2005 eng d00aMethod for Automatically Segmenting the Spinal Cord and Canal from 3D CT Images0 aMethod for Automatically Segmenting the Spinal Cord and Canal fr aViennabOCGc2005/// a311 - 3183 aWe present two approaches for automatically segmenting thespinal cord/canal from native CT images of the thorax region containing the spine. Different strategies are included to handle images where only part of the spinal column is visible. The algorithms require one seed point given on a slice located in the middle region of the spine, and the rest is automatic. The spatial extent of the spinal cord/canal is determined automatically using anatomical information for segmenting the spinal canal while active contours are applied if the spinal cord is to be segmented. Both methods work in 2D and use propagated information from neighboring slices. They are also very rapid in execution, that means an efficient, user-friendly workflow. The methods were evaluated by radiologists and were found to be useful and met the accuracy and repeatability requirements for the particular task. 1 aNyúl, László, Gábor1 aKanyó, Judit1 aMáté, Eörs1 aMakay, Géza1 aBalogh, Emese1 aFidrich, Márta1 aKuba, Attila1 aChetverikov, Dmitrij1 aCzúni, László1 aVincze, Markus uhttps://www.inf.u-szeged.hu/publication/method-for-automatically-segmenting-the-spinal-cord-and-canal-from-3d-ct-images-000767nas a2200205 4500008004100000245008400041210006900125260004600194300001400240100002800254700001800282700001800300700001700318700001800335700002000353700001700373700002300390700002200413856012600435 2005 eng d00aMethod for automatically segmenting the spinal cord and canal from 3D CT images0 aMethod for automatically segmenting the spinal cord and canal fr aBerlin; HeidelbergbSpringer-Verlagc2005 a456 - 4631 aNyúl, László, Gábor1 aKanyó, Judit1 aMáté, Eörs1 aMakay, Géza1 aBalogh, Emese1 aFidrich, Márta1 aKuba, Attila1 aGagalowitz, André1 aPhilips, Wilfried uhttps://www.inf.u-szeged.hu/publication/method-for-automatically-segmenting-the-spinal-cord-and-canal-from-3d-ct-images-103433nas a2200193 4500008004100000245012500041210006900166260004100235300001200276520262600288100002002914700002102934700002302955700002802978700002303006700002103029700002603050856016303076 2005 eng d00aTechniques in 3D Assessment of Tracheal-Stenosis by the Mean of Spiral Computed Tomography (S-CT) and Their Applications0 aTechniques in 3D Assessment of TrachealStenosis by the Mean of S aSingaporebWorld Scientificc2005/// a61 - 803 aEndotracheal intubation is the most common cause of Laryngo-Tracheal Stenoses (LTS), followed by trauma and prior airway surgery.1–3 In rare cases LTS may have resulted also from inhalation injuries, gastro-esophageal reflux disease, neoplasia and autoimmune diseases like Wegeners granulomatosis or relapsing polychondritis.1,4 In pediatric patients vascular compression of the trachea is a common cause of tracheal indentations.5 Clinical management of these conditions requires information on localization, grade, length and dynamics of the stenosis. Exact LTS information is necessary, since stenoses with a length less than 1.0 cm can be treated by an endoscopic surgery.6,7 Besides Fiberoptic Endoscopy (FE), which represents the gold standard for airway evaluation, imaging modalities like conventional radiography, fluoroscopy, tracheal tomograms, Magnetic Resonance Imaging (MRI) and above all Spiral Computed Tomography (S-CT) are an essential part of the clinical work.1,8 S-CT and the recent introduction of multislice imaging allows volumetric data acquisition of the Laryngo–Tracheal Tract (LTT) during a short time span. Decreased motion artifacts and increased spatial resolution form the basis for high quality post processing.9,10 The improved performance of today's workstations permits the use of sophisticated post processing algorithms even on standard hardware like personal computers. Thus real time 3D display and virtual endoscopic views (virtual endoscopy) are just one mouse click away. Other algorithms compute the medial axis of tubular structures like airways or vessels in 3D, which can be used for the calculation of 3D cross sectional profiles for better demonstration of caliber changes.11 Thus display of S-CT axial source images is moving rapidly to 3D display. Moreover, established network connections within and between institutions allows telemedical cooperation. Web technologies offer an easy to use way for information exchange. The objective of this paper is to present an overview on 3D display and quantification of LTS as well as to provide information how these results can be presented and shared with the referring physicians on the hospitals computer network. This article is structured in seven parts; namely: S-CT data acquisition for LTS imaging; selected 3D image post processing algorithms; 3D display; Virtual endoscopy; Objective LTS degree and length estimation using LTT 3D — cross-sectional profiles; Intranet applications; and a conclusion is drawn in the final section. 1 aSorantin, Erich1 aMohadjer, Darius1 aLindbichler, Franz1 aNyúl, László, Gábor1 aPalágyi, Kálmán1 aGeiger, Bernhard1 aLeondes, Cornelius, T uhttps://www.inf.u-szeged.hu/publication/techniques-in-3d-assessment-of-tracheal-stenosis-by-the-mean-of-spiral-computed-tomography-s-ct-and-their-applications02032nas a2200169 4500008004100000245011800041210006900159260004200228300001600270520130800286100001601594700002201610700002801632700002701660700001701687856015801704 2004 eng d00aMultiple Sclerosis lesion quantification in MR images by using vectorial scale-based relative fuzzy connectedness0 aMultiple Sclerosis lesion quantification in MR images by using v aBellingham; WashingtonbSPIEc2004/// a1764 - 17733 aThis paper presents a methodology for segmenting PD- andT2-weighted brain magnetic resonance (MR) images of multiplesclerosis (MS) patients into white matter (WM), gray matter (GM),cerebrospinal fluid (CSF), and MS lesions. For a given vectorialimage (with PD- and T2-weighted components) to be segmented, weperform first intensity inhomogeneity correction andstandardization prior to segmentation. Absolute fuzzyconnectedness and certain morphological operations are utilized togenerate the brain intracranial mask. The optimum thresholdingmethod is applied to the product image (the image in which voxelvalues represent T2 value x PD value) to automaticallyrecognize potential MS lesion sites. Then, the recently developedtechnique -- vectorial scale-based relative fuzzy connectedness --is utilized to segment all voxels within the brain intracranialmask into WM, GM, CSF, and MS lesion regions. The number ofsegmented lesions and the volume of each lesion are finally outputas well as the volume of other tissue regions. The method has beentested on 10 clinical brain MRI data sets of MS patients. Anaccuracy of better than 96% has been achieved. The preliminaryresults indicate that its performance is better than that of thek-nearest neighbors (kNN) method. 1 aZhuge, Ying1 aUdupa, Jayaram, K1 aNyúl, László, Gábor1 aFitzpatrick, J Michael1 aSonka, Milan uhttps://www.inf.u-szeged.hu/publication/multiple-sclerosis-lesion-quantification-in-mr-images-by-using-vectorial-scale-based-relative-fuzzy-connectedness02509nas a2200265 4500008004100000245007700041210007700118260007500195300001400270520158400284100001601868700001801884700002801902700001701930700001801947700002301965700001801988700001702006700002802023700001902051700002002070700002202090700002202112856010902134 2004 eng d00aSzámítógépes képfeldolgozás oktatása a Szegedi Tudományegyetemen0 aSzámítógépes képfeldolgozás oktatása a Szegedi Tudományegyetemen aMiskolcbNeumann János Számítógép-tudományi TársaságcJan 2004 a191 - 1963 aAz SZTE Informatikai Tanszékcsoportja által gondozott szakoktanterveiben 1993 óta szerepel a képfeldolgozás és alkalmazásainak oktatása. A kreditrendszer bevezetésével a Képfeldolgozás I. tárgy kötelező az ötéves képzésben részt vevő informatikus hallgatóknak. Ezen felül a választható szakirányok között szintén szerepel a Képfeldolgozás szakirány. A szakirányon belül különböző képpfeldolgozási területeket tárgyaló kurzusok épülnek egymásra. Az elméleti megalapozás mellett a képfeldolgozás alkalmazásaira is nagy hangsúlyt fektetünk. A kutatások illetve az orvosi alkalmazások fejlesztése során szerzett eredményeket a kötelező jellegű tárgyak mellett speciálkollégiumok keretében építjül be az otkatási anyagba. Számos hallgatónk választ a képfeldolgzás területéről témát a diplomamunkájához, dolgozataikkal rendszeresen és sikerrel szerepelnek az OTDK-n. Hallgatóink évente több hónapot tölthetnek külföldi partneregyetemeinken, ahol a kutató- és fejlesztőmunka mellett nálunk is elfogadott kurzusokat teljesíthetnek. A képfeldolgozás témakörön belül "ipari" projekt munkákban is egyre több hallgató vesz részt. A doktori programon belül is meghirdetünk képfeldolgozáshoz kapcsolódó kutatási irányokat. Az évente megrendezésre kerülő, 11-éves múltra visszatekintő Képfeldolgozó Nyári Iskolának (SSIP) eddig hatszor adott otthont Szeged. A rendszvénysorozat kiemelkedő fontosságú nemzetközi fórum hallgatóink és oktatóink számára is.
1 aNagy, Antal1 aBalogh, Emese1 aDudásné Nagy, Mariann1 aKuba, Attila1 aMáté, Eörs1 aPalágyi, Kálmán1 aKatona, Endre1 aKato, Zoltan1 aNyúl, László, Gábor1 aTanacs, Attila1 aGácsi, Zoltán1 aBarkóczy, Péter1 aSárközi, Gábor uhttps://www.inf.u-szeged.hu/publication/szamitogepes-kepfeldolgozas-oktatasa-a-szegedi-tudomanyegyetemen02328nas a2200241 4500008004100000020001400041245012200055210006900177260001200246300001600258490000700274520144300281100002001724700002001744700002401764700002301788700002801811700002201839700002301861700002301884700001801907856016101925 2003 eng d a0033-832X00a3D cross section of the laryngotracheal tract. A new method for visualization and quantification of tracheal stenoses0 a3D cross section of the laryngotracheal tract A new method for v c2003/// a1056 - 10680 v433 aPURPOSE: Demonstration of a technique for 3D assessment oftracheal stenoses, regarding site, length and degree, based on spiral computed tomography (S-CT). PATIENTS AND METHODS: S-CT scanning and automated segmentation of the laryngo-tracheal tract (LTT) was followed by the extraction of the LTT medial axis using a skeletonisation algorithm. Orthogonal to the medial axis the LTT 3D cross sectional profile was computed and presented as line charts, where degree and length were obtained. Values for both parameters were compared between 36 patients and 18 normal controls separately. Accuracy and precision was derived from 17 phantom studies. RESULTS: Average degree and length of tracheal stenoses were found to be 60.5% and 4.32 cm in patients compared to minor caliber changes of 8.8% and 2.31 cm in normal controls (p <0.005). For the phantoms an excellent correlation between the true and computed 3D cross sectional profile was found (p <0.005) and an accuracy for length and degree measurements of 2.14 mm and 2.53% respectively could be determined. The corresponding figures for the precision were found to be 0.92 mm and 2.56%. CONCLUSION: LTT 3D cross sectional profiles permit objective, accurate and precise assessment of LTT caliber changes. Minor LTT caliber changes can be observed even in normals and, in case of an otherwise normal S-CT study, can be regarded as artefacts. 1 aSorantin, Erich1 aHalmai, Csongor1 aErdőhelyi, Balázs1 aPalágyi, Kálmán1 aNyúl, László, Gábor1 aOllé, Krisztián1 aLindbichler, Franz1 aFriedrich, Gerhard1 aKiesler, Karl uhttps://www.inf.u-szeged.hu/publication/3d-cross-section-of-the-laryngotracheal-tract-a-new-method-for-visualization-and-quantification-of-tracheal-stenoses02330nas a2200241 4500008004100000020001400041245012200055210006900177260001200246300001600258490000700274520144300281100002001724700002001744700002401764700002301788700002801811700002201839700002301861700002301884700001801907856016301925 2003 eng d a0033-832X00a3D cross section of the laryngotracheal tract. A new method for visualization and quantification of tracheal stenoses0 a3D cross section of the laryngotracheal tract A new method for v c2003/// a1056 - 10680 v433 aPURPOSE: Demonstration of a technique for 3D assessment oftracheal stenoses, regarding site, length and degree, based on spiral computed tomography (S-CT). PATIENTS AND METHODS: S-CT scanning and automated segmentation of the laryngo-tracheal tract (LTT) was followed by the extraction of the LTT medial axis using a skeletonisation algorithm. Orthogonal to the medial axis the LTT 3D cross sectional profile was computed and presented as line charts, where degree and length were obtained. Values for both parameters were compared between 36 patients and 18 normal controls separately. Accuracy and precision was derived from 17 phantom studies. RESULTS: Average degree and length of tracheal stenoses were found to be 60.5% and 4.32 cm in patients compared to minor caliber changes of 8.8% and 2.31 cm in normal controls (p <0.005). For the phantoms an excellent correlation between the true and computed 3D cross sectional profile was found (p <0.005) and an accuracy for length and degree measurements of 2.14 mm and 2.53% respectively could be determined. The corresponding figures for the precision were found to be 0.92 mm and 2.56%. CONCLUSION: LTT 3D cross sectional profiles permit objective, accurate and precise assessment of LTT caliber changes. Minor LTT caliber changes can be observed even in normals and, in case of an otherwise normal S-CT study, can be regarded as artefacts. 1 aSorantin, Erich1 aHalmai, Csongor1 aErdőhelyi, Balázs1 aPalágyi, Kálmán1 aNyúl, László, Gábor1 aOllé, Krisztián1 aLindbichler, Franz1 aFriedrich, Gerhard1 aKiesler, Karl uhttps://www.inf.u-szeged.hu/publication/3d-cross-section-of-the-laryngotracheal-tract-a-new-method-for-visualization-and-quantification-of-tracheal-stenoses-002541nas a2200253 4500008004100000022001400041245013200055210007100187260002600258300001400284490000700298520172500305100002102030700002102051700002402072700002302096700002802119700002302147700001502170700002002185700001802205700001602223856004802239 2003 eng d a0033-832X00a3D-Querschnittsprofil des Laryngotrachealtrakts—Eine neue Methode zur Visualisierung und Quantifizierung von Trachealstenosen0 a3DQuerschnittsprofil des Laryngotrachealtrakts—Eine neue Methode bSpringer-Verlagc2003 a1056-10680 v433 aDemonstration of a technique for 3D assessment of tracheal stenoses, regarding site, length and degree, based on spiral computed tomography (S-CT).
S-CT scanning and automated segmentation of the laryngo-tracheal tract (LTT) was followed by the extraction of the LTT medial axis using a skeletonisation algorithm. Orthogonal to the medial axis the LTT 3D cross sectional profile was computed and presented as line charts, where degree and length were obtained. Values for both parameters were compared between 36 patients and 18 normal controls separately. Accuracy and precision was derived from 17 phantom studies.
Average degree and length of tracheal stenoses were found to be 60.5% and 4.32 cm in patients compared to minor caliber changes of 8.8% and 2.31 cm in normal controls (p <0.005). For the phantoms an excellent correlation between the true and computed 3D cross sectional profile was found (p <0.005) and an accuray for length and degree measurements of 2.14 mm and 2.53% respectively could be determined. The corresponding figures for the precision were found to be 0.92 mm and 2.56%.
LTT 3D cross sectional profiles permit objective, accurate and precise assessment of LTT caliber changes. Minor LTT caliber changes can be observed even in normals and, in case of an otherwise normal S-CT study, can be regarded as artefacts.
1 aSorantin, Erich.1 aHalmai, Csongor.1 aErdőhelyi, Balázs1 aPalágyi, Kálmán1 aNyúl, László, Gábor1 aOllé, Krisztián.1 aGeiger, B.1 aLindbichler, F.1 aFriedrich, G.1 aKiesler, K. uhttp://dx.doi.org/10.1007/s00117-003-0990-802300nas a2200193 4500008004100000020001400041245010800055210006900163260001200232300001400244490000700258520159100265100001601856700002201872700001801894700002801912700001901940856014701959 2003 eng d a0895-611100a3DVIEWNIX-AVS: a software package for the separate visualization of arteries and veins in CE-MRA images0 a3DVIEWNIXAVS a software package for the separate visualization o c2003/// a351 - 3620 v273 aOur earlier study developed a computerized method, based onfuzzy connected object delineation principles and algorithms, for artery and vein separation in contrast enhanced Magnetic Resonance Angiography (CE-MRA) images. This paper reports its current development-a software package-for routine clinical use. The software package, termed 3DVIEWNIX-AVS, consists of the following major operational parts: (1) converting data from DICOM3 to 3DVIEWNIX format, (2) previewing slices and creating VOI and MIP Shell, (3) segmenting vessel, (4) separating artery and vein, (5) shell rendering vascular structures and creating animations.This package has been applied to EPIX Medical Inc's CE-MRA data (AngioMark MS-325). One hundred and thirty-five original CE-MRA data sets (of 52 patients) from 6 hospitals have been processed. In all case studies, unified parameter settings produce correct artery-vein separation. The current package is running on a Pentium PC under Linux and the total computation time per study is about 3 min.The strengths of this software package are (1) minimal user interaction, (2) minimal anatomic knowledge requirements on human vascular system, (3) clinically required speed, (4) free entry to any operational stages, (5) reproducible, reliable, high quality of results, and (6) cost effective computer implementation. To date, it seems to be the only software package (using an image processing approach) available for artery and vein separation of the human vascular system for routine use in a clinical setting. 1 aLei, Tianhu1 aUdupa, Jayaram, K1 aOdhner, Dewei1 aNyúl, László, Gábor1 aSaha, Punam, K uhttps://www.inf.u-szeged.hu/publication/3dviewnix-avs-a-software-package-for-the-separate-visualization-of-arteries-and-veins-in-ce-mra-images02157nas a2200169 4500008004100000020001400041245008100055210006900136260001200205300001400217490000700231520155900238100002801797700002201825700001901847856012101866 2003 eng d a0278-006200aIncorporating a measure of local scale in voxel-based 3-D image registration0 aIncorporating a measure of local scale in voxelbased 3D image re c2003/// a228 - 2370 v223 aWe present a new class of approaches for rigid-body registrationand their evaluation in studying multiple sclerosis (MS) via multiprotocol magnetic resonance imaging (MRI). Three pairs of rigid-body registration algorithms were implemented, using cross-correlation and mutual information (MI), operating on original gray-level images, and utilizing the intermediate images resulting from our new scale-based method. In the scale image, every voxel has the local "scale" value assigned to it, defined as the radius of the largest ball centered at the voxel with homogeneous intensities. Three-dimensional image data of the head were acquired from ten MS patients for each of six MRI protocols. Images in some of the protocols were acquired in registration. The registered pairs were used as ground truth. Accuracy and consistency of the six registration methods were measured within and between protocols for known amounts of misregistrations. Our analysis indicates that there is no "best" method. For medium misregistration, the method using MI, for small add large misregistration the method using normalized cross-correlation performs best. For high-resolution data the correlation method and for low-resolution data the MI method, both using the original gray-level images, are the most consistent. We have previously demonstrated the use of local scale information in fuzzy connectedness segmentation and image filtering. Scale may also have potential for image registration as suggested by this work. 1 aNyúl, László, Gábor1 aUdupa, Jayaram, K1 aSaha, Punam, K uhttps://www.inf.u-szeged.hu/publication/incorporating-a-measure-of-local-scale-in-voxel-based-3-d-image-registration00483nas a2200121 4500008004100000245005800041210005800099260003800157490001800195100002800213700002200241856009800263 2003 eng d00aMethod for standardizing the MR image intensity scale0 aMethod for standardizing the MR image intensity scale aAmerikai Egyesült Államokc20030 vUS199904477811 aNyúl, László, Gábor1 aUdupa, Jayaram, K uhttps://www.inf.u-szeged.hu/publication/method-for-standardizing-the-mr-image-intensity-scale00771nas a2200205 4500008004100000245009400041210007800135260003100213300001400244100002200258700001600280700002000296700002800316700001700344700002200361700001700383700001800400700002300418856012400441 2002 eng d00aDigitális képtároló és képtovábbító rendszer (PACS) a Szegedi Tudományegyetemen0 aDigitális képtároló és képtovábbító rendszer PACS a Szegedi Tudo aSzegedbNJSZT-KÉPAFc2002 a132 - 1391 aAlmási, László1 aNagy, Antal1 aAlexin, Zoltán1 aNyúl, László, Gábor1 aKuba, Attila1 aCsernay, László1 aKuba, Attila1 aMáté, Eörs1 aPalágyi, Kálmán uhttps://www.inf.u-szeged.hu/publication/digitalis-keptarolo-es-keptovabbito-rendszer-pacs-a-szegedi-tudomanyegyetemen-000772nas a2200205 4500008004100000245009400041210007800135260003400213300001400247100002200261700001600283700002000299700002800319700001700347700002200364700001700386700001800403700002300421856012200444 2002 eng d00aDigitális képtároló és képtovábbító rendszer (PACS) a Szegedi Tudományegyetemen0 aDigitális képtároló és képtovábbító rendszer PACS a Szegedi Tudo aSzegedbNJSZT-KÉPAFc2002/// a132 - 1391 aAlmási, László1 aNagy, Antal1 aAlexin, Zoltán1 aNyúl, László, Gábor1 aKuba, Attila1 aCsernay, László1 aKuba, Attila1 aMáté, Eörs1 aPalágyi, Kálmán uhttps://www.inf.u-szeged.hu/publication/digitalis-keptarolo-es-keptovabbito-rendszer-pacs-a-szegedi-tudomanyegyetemen02495nas a2200169 4500008004100000020001400041245006400055210006300119260001200182300001400194490000700208520193000215100002802145700002602173700002202199856010402221 2002 eng d a1524-070300aFuzzy-connected 3D image segmentation at interactive speeds0 aFuzzyconnected 3D image segmentation at interactive speeds c2002/// a259 - 2810 v643 aImage segmentation techniques using fuzzy connectednessprinciples hake shown their effectiveness in segmenting a variety of objects in several large applications in recent years. However, one problem with these algorithms has been their excessive computational requirements. In an attempt to substantially speed them up. in the present paper, we study systematically a host of 18 'optimal' graph search algorithms. Extensive testing of these algorithms on a variety of 3D medical images taken from large ongoing applications demonstrates that a 20 1000-fold improvement over current speeds is achievable with a combination of algorithms and last modern PCs. Utilizing efficient algorithms and careful selection of implementations can speed up the computation of fuzzy connectedness values by a factor of 16 29 (on the same hardware), as compared to the implementation previously used in our applications utilizing fuzzy object segmentation. The optimality of an algorithm depends on the input data as well as on the choice of the fuzzy affinity relation. The running time is reduced considerably (by a factor up to 34 for brain MR and even more for bone CT), when the algorithms make use of predetermined thresholds for the fuzz), objects. The reliable recognition (assisted by human operators) and the accurate, efficient. and sophisticated delineation (automatically performed by the computer) can be effectively incorporated into a single interactive process. If images having intensities kith tissue-Specific meaning (such Lis CT or standardized MR images) are utilized. most of the parameters for the segmentation method can be fixed once for all. all, intermediate data (feature and fuzzy affinity values for the hole scene) can be computed before the user interaction is needed and the user can be provided kith more information at the little of interaction. 1 aNyúl, László, Gábor1 aFalcao, Alexandre, X.1 aUdupa, Jayaram, K uhttps://www.inf.u-szeged.hu/publication/fuzzy-connected-3d-image-segmentation-at-interactive-speeds01410nas a2200469 4500008004100000020001400041245013000055210006900185260001200254300000800266490000700274100001500281700001900296700002000315700001600335700001800351700001500369700001500384700001500399700001500414700001800429700001400447700001500461700001800476700001400494700001600508700001300524700001300537700001200550700001600562700001400578700002100592700001700613700002300630700002900653700002800682700001500710700001500725700001800740700001500758856016700773 2002 eng d a0938-799400aMedical Image Processing, Surgical Planning, Image-Guided Therapy and Robotic Applications: Recent Developments for Radiology0 aMedical Image Processing Surgical Planning ImageGuided Therapy a c2002/// a5040 v121 aBale, R, J1 aBirkfellner, W1 aSorantin, Erich1 aStaedele, H1 aKettenbach, J1 aRecheis, W1 aVoegele, M1 aSweeney, R1 aKovács, P1 aWegenkittl, R1 aBodner, G1 aJaschke, W1 azur Nedden, D1 aEisner, E1 aKronreig, G1 aFurst, M1 aHanel, R1 aFigl, M1 aBergmann, H1 aHanson, D1 aRuskó, László1 aRodek, Lajos1 aPalágyi, Kálmán1 aBartroli, Anna, Vilanova1 aNyúl, László, Gábor1 aJacob, A L1 aBaumann, B1 aBalogh, Emese1 aMessmer, P uhttps://www.inf.u-szeged.hu/publication/medical-image-processing-surgical-planning-image-guided-therapy-and-robotic-applications-recent-developments-for-radiology00434nas a2200097 4500008004100000245007500041210006900116260000900185100002800194856011400222 2002 eng d00aNovel MR Image Analysis Strategies: Applications in Multiple Sclerosis0 aNovel MR Image Analysis Strategies Applications in Multiple Scle c20021 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/novel-mr-image-analysis-strategies-applications-in-multiple-sclerosis01925nas a2200157 4500008004100000245005700041210005400098260004200152300001600194520136600210100002801576700002201604700001701626700002701643856009701670 2002 eng d00aA protocol-independent brain MRI segmentation method0 aprotocolindependent brain MRI segmentation method aBellingham; WashingtonbSPIEc2002/// a1588 - 15993 aWe present a segmentation method that combines the robust,accurate, and efficient techniques of fuzzy connectedness with standardized MRI intensities and fast algorithms. The result is a general segmentation framework that more efficiently utilizes the user input (for recognition) and the power of computer (for delineation). This same method has been applied to segment brain tissues from a variety of MRI protocols. Images were corrected for inhomogeneity and standardized to yield tissue-specific intensity values. All parameters for the fuzzy affinity relations were fixed for a specific input protocol. Scale-based fuzzy affinity was used to better capture fine structures. Brain tissues were segmented as 3D fuzzy-connected objects by using relative fuzzy connectedness. The user can specify seed points in about a minute and tracking the 3D fuzzy-connected objects takes about 20 seconds per object. All other computations were performed before any user interaction took place. Segmentation of brain tissues as 3D fuzzy-connected objects from MRI data is feasible at interactive speeds. Utilizing the robust fuzzy connectedness principles and fast algorithms, it is possible to interactively select fuzzy affinity, seed point, and threshold parameters and perform efficient, precise, and accurate segmentations. 1 aNyúl, László, Gábor1 aUdupa, Jayaram, K1 aSonka, Milan1 aFitzpatrick, J Michael uhttps://www.inf.u-szeged.hu/publication/a-protocol-independent-brain-mri-segmentation-method02304nas a2200253 4500008004100000020001400041245007800055210006900133260001200202300001400214490000700228520147500235100002001710700002001730700002401750700002301774700002801797700002201825700002101847700002301868700002301891700001801914856011801932 2002 eng d a0278-006200aSpiral-CT-based assessment of tracheal stenoses using 3-D-skeletonization0 aSpiralCTbased assessment of tracheal stenoses using 3Dskeletoniz c2002/// a263 - 2730 v213 aPURPOSE: Demonstration of a technique for three-dimensional (3-D) assessment of tracheal-stenoses, regarding site, length and degree, based on spiral computed tomography (S-CT). PATIENTS AND METHODS: S-CT scanning and automated segmentation of the laryngo-tracheal tract (LTT) was followed by the extraction of the LTT medial axis using a skeletonization algorithm. Orthogonal to the medial axis the LTT 3-D cross-sectional profile was computed and presented as line charts, where degree and length was obtained. Values for both parameters were compared between 36 patients and 18 normal controls separately. Accuracy and precision was derived from 17 phantom studies. RESULTS: Average degree and length of tracheal stenoses was found to be 60.5% and 4.32 cm in patients compared with minor caliber changes of 8.8% and 2.31 cm in normal controls (p << 0.0001). For the phantoms an excellent correlation between the true and computed 3-D cross-sectional profile was found (p << 0.005) and an accuracy for length and degree measurements of 2.14 mm and 2.53% respectively could be determined. The corresponding figures for the precision were found to be 0.92 mm and 2.56%. CONCLUSION: LTT 3-D cross-sectional profiles permit objective, accurate and precise assessment of LTT caliber changes. Minor LTT caliber changes can be observed even in normals and, in case of an otherwise normal S-CT study, can be regarded as artifacts. 1 aSorantin, Erich1 aHalmai, Csongor1 aErdőhelyi, Balázs1 aPalágyi, Kálmán1 aNyúl, László, Gábor1 aOllé, Krisztián1 aGeiger, Bernhard1 aLindbichler, Franz1 aFriedrich, Gerhard1 aKiesler, Karl uhttps://www.inf.u-szeged.hu/publication/spiral-ct-based-assessment-of-tracheal-stenoses-using-3-d-skeletonization02066nas a2200229 4500008004100000245007700041210007700118260004100195300001400236520126900250100001601519700001801535700002801553700001701581700001801598700002801616700002301644700001901667700001901686700002001705856011101725 2002 eng d00aSzámítógépes képfeldolgozás oktatása a Szegedi Tudományegyetemen0 aSzámítógépes képfeldolgozás oktatása a Szegedi Tudományegyetemen aDebrecenbDebreceni Egyetemc2002/// a750 - 7573 aA Szegedi Tudományegyetem tanterveiben 1993 óta szerepel aképfeldolgozás és alkalmazásainak oktatása. A tantárgy ez idő alatt sok változáson ment át. Jelenleg a Képfeldolgozás szakirányt választó hallgatók részesülnek ilyen képzésben. Az adott szakirányon belül különböző képfeldolgozási területek oktatása épül egymásra. Az oktatás során nem csak elméleti és gyakorlati ismereteket szerezhetnek a hallgatók, hanem néhány (főleg orvosi) alkalmazás is bemutatásra kerül. A kötelező jellegű tárgyak mellett speciálkollégiumok engednek bepillantást más kiegészítő területekre. A hallgatók a képfeldolgozás témával rendszeresen vesznek rész helyi és országos Tudományos DIákköri Konferenciákon. Az utóbbi időben sikerült a képfeldolgozásban érdekelt cégekkel felvenni a kapcsolatot, így évente több hallgató vehet részt ipari alkalmazások fejlesztésében. A doktori programon belül is meghirdetünk képfeldolgozáshoz kapcsolódó kutatási irányokat. Ezenkívül rendszeresen megrendezzük a nemzetközi Képfeldolgozó Nyári Iskolákat, ahol nemcsak Magyarországról, hanem a környező országokból is fogadunk hallgatókat és oktatókat. 1 aNagy, Antal1 aBalogh, Emese1 aDudásné Nagy, Mariann1 aKuba, Attila1 aMáté, Eörs1 aNyúl, László, Gábor1 aPalágyi, Kálmán1 aTanacs, Attila1 aArató, Péter1 aHerdon, Miklós uhttps://www.inf.u-szeged.hu/publication/szamitogepes-kepfeldolgozas-oktatasa-a-szegedi-tudomanyegyetemen-000524nas a2200157 4500008004100000245004500041210004500086260003400131300001200165100002800177700002200205700001700227700001800244700002300262856008100285 2002 eng d00aTöbbdimenziós MRI képek feldolgozása0 aTöbbdimenziós MRI képek feldolgozása aSzegedbNJSZT-KÉPAFc2002/// a96 - 971 aNyúl, László, Gábor1 aUdupa, Jayaram, K1 aKuba, Attila1 aMáté, Eörs1 aPalágyi, Kálmán uhttps://www.inf.u-szeged.hu/publication/tobbdimenzios-mri-kepek-feldolgozasa02292nas a2200217 4500008004100000020001400041245014800055210006900203260001200272300001400284490000700298520142100305100002001726700002301746700001801769700002901787700002301816700002801839700002101867856018601888 2002 eng d a1682-863100aVirtual dissection and automated polyp detection of the colon based on spiral CT - Techniques and preliminary experience on a cadaveric phantom0 aVirtual dissection and automated polyp detection of the colon ba c2002/// a143 - 1490 v343 aBackground: CT colonography was found to be sensitive andspecific for detection of colonic polyps and colorectal cancer (CRC). Depending on the software used, CT colonography requires a certain amount of operator interaction, which limits it's widespread usage. The goal of this papers is to present two novel automated techniques for displaying CT colonography: virtual dissection and automated colonic polyp detection. Methods: Virtual dissection refers to a technique where the entire colon is virtually stretched and flattened thus simulating the view on the pathologist's table. Colonic folds show a 'global outward bulging of the contour', whereas colonic polyps exhibit the inverse ('local inward bulging'). This feature is used to map areas of 'local inward bulging' with colours on 3D reconstructions. A cadaveric phantom with 13 artificially inserted polyps was used for validation of both techniques. Results: On virtual dissection all 13 inserted polyps could be identified. They appeared either as bumps or as local broadening of colonic folds. In addition, the automated colonic polyp detection algorithm was able to tag all polyps. Only 10 min of operator interaction were necessary for both techniques. Conclusions: Virtual dissection overcomes the shortcomings of CT colonography, and automated colonic polyp detection establishes a roadmap of the polyps. 1 aSorantin, Erich1 aWerkgartner, Georg1 aBalogh, Emese1 aBartroli, Anna, Vilanova1 aPalágyi, Kálmán1 aNyúl, László, Gábor1 aRuskó, László uhttps://www.inf.u-szeged.hu/publication/virtual-dissection-and-automated-polyp-detection-of-the-colon-based-on-spiral-ct-techniques-and-preliminary-experience-on-a-cadaveric-phantom00597nas a2200193 4500008004100000245003600041210003600077260003400113300001400147100001800161700002000179700002800199700002300227700001700250700001700267700001800284700002300302856007800325 2002 eng d00aVirtual Dissection of the Colon0 aVirtual Dissection of the Colon aSzegedbNJSZT-KÉPAFc2002/// a109 - 1171 aBalogh, Emese1 aSorantin, Erich1 aNyúl, László, Gábor1 aPalágyi, Kálmán1 aKuba, Attila1 aKuba, Attila1 aMáté, Eörs1 aPalágyi, Kálmán uhttps://www.inf.u-szeged.hu/publication/virtual-dissection-of-the-colon-000685nas a2200217 4500008004100000245003600041210003600077260003900113300001400152100002000166700001800186700002900204700002300233700002800256700002100284700001900305700002300324700002200347700002200369856007600391 2002 eng d00aVirtual Dissection of the Colon0 aVirtual Dissection of the Colon aNew YorkbSpringer-Verlagc2002/// a197 - 2091 aSorantin, Erich1 aBalogh, Emese1 aBartroli, Anna, Vilanova1 aPalágyi, Kálmán1 aNyúl, László, Gábor1 aLončarić, Sven1 aSubasic, Marco1 aKovacevic, Domagoj1 aCaramella, Davide1 aBartolozzi, Carlo uhttps://www.inf.u-szeged.hu/publication/virtual-dissection-of-the-colon01428nas a2200205 4500008004100000245010800041210006900149260004200218300001400260520063500274100001800909700002000927700002800947700002300975700001700998700002301015700001801038700001901056856014701075 2002 eng d00aVirtual dissection of the colon: technique and first experiments with artificial and cadaveric phantoms0 aVirtual dissection of the colon technique and first experiments aBellingham; WashingtonbSPIEc2002/// a713 - 7213 aVirtual dissection refers to a display technique for polypdetection, where the colon is digitally straightened and then flattened using multirow detector Computed Tomograph (CT) images. As compared to virtual colonoscopy where polyps may be hidden from view behind the folds, the unravelled colon is more suitable for polyp detection, because the entire inner surface of the colon is displayed in a single view. The method was tested both on artificial and cadaveric phantoms. All polyps could be recognized on both phantoms. This technique for virtual dissection requires only a minimum of operator interaction. 1 aBalogh, Emese1 aSorantin, Erich1 aNyúl, László, Gábor1 aPalágyi, Kálmán1 aKuba, Attila1 aWerkgartner, Georg1 aSpuller, Ekke1 aMun, Seong, Ki uhttps://www.inf.u-szeged.hu/publication/virtual-dissection-of-the-colon-technique-and-first-experiments-with-artificial-and-cadaveric-phantoms01972nas a2200205 4500008004100000020001400041245012400055210006900179260001200248300001400260490000800274520119200282100001401474700002401488700002201512700001901534700002801553700002201581856016301603 2001 eng d a0033-841900aBrain atrophy in relapsing-remitting multiple sclerosis: Fractional volumetric analysis of gray matter and white matter0 aBrain atrophy in relapsingremitting multiple sclerosis Fractiona c2001/// a606 - 6100 v2203 aPURPOSE: To determine the fractional brain tissue volume changesin the gray matter and white matter of patients with relapsing- remitting multiple sclerosis (MS) and to correlate these measurements with clinical disability and total lesion load. MATERIALS AND METHODS: Thirty patients with relapsing-remitting MS and 25 healthy control subjects underwent magnetic resonance imaging. Fractional brain tissue volumes (tissue volume relative to total intracranial volume) were obtained from the total segmented gray matter and white matter in each group and were analyzed. RESULTS: The fractional volume of white matter versus that of gray matter was significantly lower (-6.4%) in patients with MS (P <.0001) than in control subjects. Neither gray matter nor white matter fractional volume measurements correlated with clinical disability in the patients with MS. CONCLUSION: Loss of brain parenchymal volume in patients with relapsing-remitting MS is predominantly confined to white matter. Analysis of fractional brain tissue volumes provides additional information useful in characterizing MS and may have potential in evaluating treatment strategies. 1 aGe, Yiyue1 aGrossman, Robert, J1 aUdupa, Jayaram, K1 aBabb, James, S1 aNyúl, László, Gábor1 aKolson, Dennis, L uhttps://www.inf.u-szeged.hu/publication/brain-atrophy-in-relapsing-remitting-multiple-sclerosis-fractional-volumetric-analysis-of-gray-matter-and-white-matter02389nas a2200181 4500008004100000020001400041245009800055210006900153260001200222300001600234490000600250520172700256100002201983700002802005700001402033700002402047856013602071 2001 eng d a1076-633200aMultiprotocol MR image segmentation in multiple sclerosis: Experience with over 1,000 studies0 aMultiprotocol MR image segmentation in multiple sclerosis Experi c2001/// a1116 - 11260 v83 aRATIONALE AND OBJECTIVES: Multiple sclerosis (MS) is an acquireddisease of the central nervous system. Several clinical measures are commonly used to express the severity of the disease, including the Expanded Disability Status Scale and the ambulation index. These measures are subjective and may be difficult to reproduce. The aim of this research is to investigate the possibility of developing more objective measures derived from MR imaging. MATERIALS AND METHODS: Various magnetic resonance (MR) imaging protocols are being investigated for the study of MS. Seeking to replace the Expanded Disability Status Scale and ambulation index with an objective means to assess the natural course of the disease and its response to therapy, the authors have developed multiprotocol MR image segmentation methods based on fuzzy connectedness to quantify both macrosopic features of the disease (lesions, gray matter, white matter, cerebrospinal fluid, and brain parenchyma) and the microscopic appearance of diseased white matter. Over 1,000 studies have been processed to date. RESULTS: By far the strongest correlations with the clinical measures were demonstrated by the magnetization transfer ratio histogram parameters obtained for the various segmented tissue regions. These findings emphasize the importance of considering the microscopic and diffuse nature of the disease in the individual tissue regions. Brain parenchymal volume also demonstrated a strong correlation with clinical measures, which suggests that brain atrophy is an important disease indicator. CONCLUSION: Fuzzy connectedness is a viable, highly reproducible segmentation method for studying MS. 1 aUdupa, Jayaram, K1 aNyúl, László, Gábor1 aGe, Yiyue1 aGrossman, Robert, J uhttps://www.inf.u-szeged.hu/publication/multiprotocol-mr-image-segmentation-in-multiple-sclerosis-experience-with-over-1000-studies02003nas a2200169 4500008004100000245006200041210006100103260004200164300001600206520140000222100002801622700002201650700001901672700001701691700002301708856010201731 2001 eng d00aTask-specific comparison of 3D image registration methods0 aTaskspecific comparison of 3D image registration methods aBellingham; WashingtonbSPIEc2001/// a1588 - 15983 aWe present a new class of approaches for rigid-body registrationand their evaluation in studying Multiple Sclerosis via multi protocol MRI. Two pairs of rigid-body registration algorithms were implemented, using cross- correlation and mutual information, operating on original gray-level images and on the intermediate images resulting from our new scale-based method. In the scale image, every voxel has the local scale value assigned to it, defined as the radius of the largest sphere centered at the voxel with homogeneous intensities. 3D data of the head were acquired from 10 MS patients using 6 MRI protocols. Images in some of the protocols have been acquired in registration. The co-registered pairs were used as ground truth. Accuracy and consistency of the 4 registration methods were measured within and between protocols for known amounts of misregistrations. Our analysis indicates that there is no best method. For medium and large misregistration, methods using mutual information, for small misregistration, and for the consistency tests, correlation methods using the original gray- level images give the best results. We have previously demonstrated the use of local scale information in fuzzy connectedness segmentation and image filtering. Scale may also have considerable potential for image registration as suggested by this work. 1 aNyúl, László, Gábor1 aUdupa, Jayaram, K1 aSaha, Punam, K1 aSonka, Milan1 aHanson, Kenneth, M uhttps://www.inf.u-szeged.hu/publication/task-specific-comparison-of-3d-image-registration-methods01121nas a2200193 4500008004100000245007900041210006900120260004200189300001400231520040900245100002000654700001800674700002900692700002300721700002800744700002100772700001800793856011600811 2001 eng d00aVirtual Dissection of the Colon Based on Helical CT Data - Can It Be Done?0 aVirtual Dissection of the Colon Based on Helical CT Data Can It aZagrebbUniversity of Zagrebc2001/// a224 - 2293 aColorectal cancer is the third most commonly diagnosed cancer;and colonic polyps are known precursors of that particular cancer. Virtual dissection refers to a display technique for polyp detection based on helical CT data, where the colon is dissected and flattened as on the pathologist's table. The approach and image processing as well as the early experience are described in this paper. 1 aSorantin, Erich1 aBalogh, Emese1 aBartroli, Anna, Vilanova1 aPalágyi, Kálmán1 aNyúl, László, Gábor1 aLončarić, Sven1 aBabic, Hrvoje uhttps://www.inf.u-szeged.hu/publication/virtual-dissection-of-the-colon-based-on-helical-ct-data-can-it-be-done00700nas a2200157 4500008004100000245012600041210006900167260001200236100001400248700002400262700002200286700001900308700002800327700002200355856016500377 2000 eng d00aBrain Atrophy in Relapsing-Remitting Multiple Sclerosis: A Fractional Volumetric Analysis of Gray Matter and White Matter0 aBrain Atrophy in RelapsingRemitting Multiple Sclerosis A Fractio c2000///1 aGe, Yiyue1 aGrossman, Robert, J1 aUdupa, Jayaram, K1 aBabb, James, S1 aNyúl, László, Gábor1 aKolson, Dennis, L uhttps://www.inf.u-szeged.hu/publication/brain-atrophy-in-relapsing-remitting-multiple-sclerosis-a-fractional-volumetric-analysis-of-gray-matter-and-white-matter01886nas a2200157 4500008004100000245006400041210006300105260004200168300001400210520129900224100002801523700002601551700002201577700002301599856010601622 2000 eng d00aFuzzy-connected 3D image segmentation at interactive speeds0 aFuzzyconnected 3D image segmentation at interactive speeds aBellingham; WashingtonbSPIEc2000/// a212 - 2233 aImage segmentation techniques using fuzzy connectednessprinciples have shown their effectiveness in segmenting a variety of objects in several large applications in recent years. However, one problem with these algorithms has been their excessive computational requirements. In an attempt to substantially speed them up, in the present paper, we study systematically a host of 18 algorithms under two categories -- label correcting and label setting. Extensive testing of these algorithms on a variety of 3D medical images taken from large ongoing applications demonstrates that a 20 - 360 fold improvement over current speeds is achievable with a combination of algorithms and fast modern PCs. The reliable recognition (assisted by human operators) and the accurate, efficient, and sophisticated delineation (automatically performed by the computer) can be effectively incorporated into a single interactive process. If images having intensities with tissue specific meaning (such as CT or standardized MR images) are utilized, all parameters for the segmentation method can be fixed once for all, all intermediate data can be computed before the user interaction is needed, and the user can be provided with more information at the time of interaction. 1 aNyúl, László, Gábor1 aFalcao, Alexandre, X.1 aUdupa, Jayaram, K1 aHanson, Kenneth, M uhttps://www.inf.u-szeged.hu/publication/fuzzy-connected-3d-image-segmentation-at-interactive-speeds-000730nas a2200181 4500008004100000245010700041210006900148260001200217100001400229700002400243700002200267700001900289700002800308700002200336700002000358700002300378856014700401 2000 eng d00aMagnetization Transfer Ratio Histogram Analysis of Normal Appearing Gray Matter and White Matter in MS0 aMagnetization Transfer Ratio Histogram Analysis of Normal Appear c2000///1 aGe, Yiyue1 aGrossman, Robert, J1 aUdupa, Jayaram, K1 aBabb, James, S1 aNyúl, László, Gábor1 aKolson, Dennis, L1 aMannon, Lois, J1 aMcGowan, Joseph, C uhttps://www.inf.u-szeged.hu/publication/magnetization-transfer-ratio-histogram-analysis-of-normal-appearing-gray-matter-and-white-matter-in-ms00887nas a2200157 4500008004100000020001400041245004400055210004400099260001200143300001400155490000700169520041900176100002800595700002200623856008400645 2000 eng d a1052-514900aMR image analysis in multiple sclerosis0 aMR image analysis in multiple sclerosis c2000/// a799 - 8150 v103 aMR imaging is the ubiquitous imaging modality used for studyingmultiple sclerosis (MS). A variety of MR imaging protocols, including T2, spin density, T1-weighted, with and without gadolinium, and magnetization transfer imaging, have been used in studying MS. This article provides an overview of the techniques recently developed for quantifying the extent of MS through the application of MR imaging. 1 aNyúl, László, Gábor1 aUdupa, Jayaram, K uhttps://www.inf.u-szeged.hu/publication/mr-image-analysis-in-multiple-sclerosis00387nas a2200109 4500008004100000245004400041210004400085260001200129100002800141700002200169856008600191 2000 eng d00aMR Image Analysis in Multiple Sclerosis0 aMR Image Analysis in Multiple Sclerosis c2000///1 aNyúl, László, Gábor1 aUdupa, Jayaram, K uhttps://www.inf.u-szeged.hu/publication/mr-image-analysis-in-multiple-sclerosis-002265nas a2200253 4500008004100000020001400041245010900055210006900164260001200233300001400245490000800259520138100267100002201648700002401670700002201694700002201716700002801738700001701766700001601783700002101799700002001820700002301840856014801863 2000 eng d a0033-841900aMultiple sclerosis: Magnetization transfer histogram analysis of segmented normal-appearing white matter0 aMultiple sclerosis Magnetization transfer histogram analysis of c2000/// a351 - 3550 v2163 aPURPOSE: To investigate and characterize the global distributionof magnetization transfer (MT) ratio values of normal-appearing white matter (NAWM) in patients with relapsing-remitting multiple sclerosis (MS) and test the hypothesis that the MT histogram for NAWM reflects disease progression. MATERIALS AND METHODS: Conventional and MT magnetic resonance (MR) images were obtained in 23 patients and 25 healthy volunteers. Clinical tests for comparison with the MT histogram parameters included the Extended Disability Status Scale and the ambulation index. Lesion load calculated with T2-weighted MR images and whole- brain and white matter volumes were measured. RESULTS: The location of the MT histogram peak and the mean MT ratio for NAWM were significantly lower in patients with MS than in control subjects. In longitudinal studies, the histogram peak location and mean MT ratio shifted in the direction of normal values as the duration of disease increased. A mean of 26.5% of the volume of new lesions identified on the later studies were demonstrated to have originated in NAWM corresponding to "lost" pixels on the histogram. CONCLUSION: MT histogram analysis of NAWM, including longitudinal analysis, may provide new prognostic information regarding lesion formation and increase understanding of the course of the disease. 1 aCatalaa, Isabelle1 aGrossman, Robert, J1 aKolson, Dennis, L1 aUdupa, Jayaram, K1 aNyúl, László, Gábor1 aWei, Lougang1 aZhang, Xuan1 aPolansky, Marcia1 aMannon, Lois, J1 aMcGowan, Joseph, C uhttps://www.inf.u-szeged.hu/publication/multiple-sclerosis-magnetization-transfer-histogram-analysis-of-segmented-normal-appearing-white-matter02104nas a2200169 4500008004100000245009700041210006900138260004200207300001600249520142000265100002201685700002801707700001401735700002401749700002301773856013801796 2000 eng d00aMultiprotocol MR image segmentation in multiple sclerosis: experience with over 1000 studies0 aMultiprotocol MR image segmentation in multiple sclerosis experi aBellingham; WashingtonbSPIEc2000/// a1017 - 10273 aMultiple Sclerosis (MS) is an acquired disease of the centralnervous system. Subjective cognitive and ambulatory test scores on a scale called EDSS are currently utilized to assess the disease severity. Various MRI protocols are being investigated to study the disease based on how it manifests itself in the images. In an attempt to eventually replace EDSS by an objective measure to assess the natural course of the disease and its response to therapy, we have developed image segmentation methods based on fuzzy connectedness to quantify various objects in multiprotocol MRI. These include the macroscopic objects such as lesions, the gray matter (GM), white matter (WM), cerebrospinal fluid (CSF), and brain parenchyma as well as the microscopic aspects of the diseased WM. Over 1000 studies have been processed to date. By far the strongest correlations with the clinical measures were demonstrated by the Magnetization Transfer Ratio (MTR) histogram parameters obtained for the various segmented tissue regions emphasizing the importance of considering the microscopic/diffused nature of the disease in the individual tissue regions. Brain parenchymal volume also demonstrated a strong correlation with the clinical measures indicating that brain atrophy is an important indicator of the disease. Fuzzy connectedness is a viable segmentation method for studying MS. 1 aUdupa, Jayaram, K1 aNyúl, László, Gábor1 aGe, Yiyue1 aGrossman, Robert, J1 aHanson, Kenneth, M uhttps://www.inf.u-szeged.hu/publication/multiprotocol-mr-image-segmentation-in-multiple-sclerosis-experience-with-over-1000-studies-001692nas a2200169 4500008004100000020001400041245005800055210005800113260001200171300001400183490000700197520115400204100002801358700002201386700001601408856009801424 2000 eng d a0278-006200aNew variants of a method of MRI scale standardization0 aNew variants of a method of MRI scale standardization c2000/// a143 - 1500 v193 aOne of the major drawbacks of magnetic resonance imaging (MRI)has been the lack of a standard and quantifiable interpretation of image intensities. Unlike in other modalities, such as X-ray computerized tomography, MR images taken for the same patient on the same scanner at different times may appear different from each other due to a variety of scanner-dependent variations and, therefore, the absolute intensity values do not have a fixed meaning. We have devised a two-step method wherein all images (independent of patients and the specific brand of the MR scanner used) can be transformed in such a way that for the same protocol and body region, in the transformed images similar intensities will have similar tissue meaning. Standardized images can be displayed with fixed windows without the need of per-case adjustment. More importantly, extraction of quantitative information about healthy organs or about abnormalities can be considerably simplified. This paper introduces and compares new variants of this standardizing method that can help to overcome some of the problems with the original method. 1 aNyúl, László, Gábor1 aUdupa, Jayaram, K1 aZhang, Xuan uhttps://www.inf.u-szeged.hu/publication/new-variants-of-a-method-of-mri-scale-standardization01875nas a2200193 4500008004100000020001400041245009600055210006900151260001200220300001400232490000700246520118700253100001401440700002201454700002801476700001701504700002401521856013601545 2000 eng d a1053-180700aNumerical tissue characterization in MS via standardization of the MR image intensity scale0 aNumerical tissue characterization in MS via standardization of t c2000/// a715 - 7210 v123 aImage intensity standardization is a recently developedpostprocessing method that is capable of correcting the signal intensity variations in MR images. We evaluated signal intensity of healthy and diseased tissues in 10 multiple sclerosis (MS) patients based on standardized dual fast spin-echo MR images using a numerical postprocessing technique. The main idea of this technique is to deform the volume image histogram of each study to match a standard histogram and to utilize the resulting transformation to map the image intensities into standard scale. Upon standardization, the coefficients of variation of signal intensities for each segmented tissue (gray matter, white matter, lesion plaques, and diffuse abnormal white matter) in all patients were significantly smaller (2.3-9.2 times) than in the original images, and the same tissues from different patients looked alike, with similar intensity characteristics. Numerical tissue characterizability of different tissues in MS achieved by standardization offers a fixed tissue-specific meaning for the numerical values and can significantly facilitate image segmentation and analysis. 1 aGe, Yiyue1 aUdupa, Jayaram, K1 aNyúl, László, Gábor1 aWei, Lougang1 aGrossman, Robert, J uhttps://www.inf.u-szeged.hu/publication/numerical-tissue-characterization-in-ms-via-standardization-of-the-mr-image-intensity-scale00638nas a2200157 4500008004100000245009600041210006900137260002300206300000800229100001400237700002200251700002800273700001700301700002400318856013800342 2000 eng d00aNumerical Tissue Characterization in MS via Standardization of the MR Image Intensity Scale0 aNumerical Tissue Characterization in MS via Standardization of t aBerkeleycApr 2000 a5791 aGe, Yiyue1 aUdupa, Jayaram, K1 aNyúl, László, Gábor1 aWei, Lougang1 aGrossman, Robert, J uhttps://www.inf.u-szeged.hu/publication/numerical-tissue-characterization-in-ms-via-standardization-of-the-mr-image-intensity-scale-000595nas a2200145 4500008004100000245006800041210006800109260005500177300000700232490003300239100002800272700002200300700001900322856010800341 2000 eng d00aStandardizing the MR Image Intensity Scale and Its Applications0 aStandardizing the MR Image Intensity Scale and Its Applications aSzegedbJózsef Attila TudományegyetemcJuly 2000 a750 vVolume of extended abstracts1 aNyúl, László, Gábor1 aUdupa, Jayaram, K1 aCsendes, Tibor uhttps://www.inf.u-szeged.hu/publication/standardizing-the-mr-image-intensity-scale-and-its-applications01818nas a2200145 4500008004100000245010000041210006900141260004200210300001400252520119800266100002801464700002201492700001901514856013901533 2000 eng d00aStandardizing the MR image intensity scales: making MR intensities have tissue-specific meaning0 aStandardizing the MR image intensity scales making MR intensitie aBellingham; WashingtonbSPIEc2000/// a496 - 5043 aOne of the major drawbacks of Magnetic Resonance Imaging (MRI)has been the lack of a standard and quantifiable interpretation of image intensities. Unlike in other modalities such as x-ray computerized tomography, MR images taken for the same patient on the same scanner at different times may appear different from each other due to a variety of scanner-dependent variations, and therefore, the absolute intensity values do not have a fixed meaning. We have devised a two-step method wherein all images can be transformed in such a way that for the same protocol and body region, in the transformed images similar intensities will have similar tissue meaning. Standardized images can be displayed with fixed windows without the need of per case adjustment. More importantly, extraction of quantitative information with fixed windows without the need of per case adjustment. More importantly, extraction of quantitative information about healthy organs or about abnormalities can be considerably simplified. This paper introduces and compares new variants of this standardizing method that can help to overcome some of the problems with the original method. 1 aNyúl, László, Gábor1 aUdupa, Jayaram, K1 aMun, Seong, Ki uhttps://www.inf.u-szeged.hu/publication/standardizing-the-mr-image-intensity-scales-making-mr-intensities-have-tissue-specific-meaning01085nas a2200181 4500008004100000245009000041210007700131260001300208300000800221520042600229100001600655700002000671700002800691700002500719700001700744700002000761856012200781 2000 eng d00aA Szegedi Tudományegyetem orvosi képarchiváló és továbbító szoftver rendszere0 aSzegedi Tudományegyetem orvosi képarchiváló és továbbító szoftve cJan 2000 a1153 a
A Szegedi Tudományegyetem orvosi képarchiváló és -továbbítórendszer (SZOTE-PACS) szoftverének a fejlesztését ismertetjük előadásunkban. A célunk egy olyan számítógépes hálózati alkalmazás elkészítése volt, amely nemcsak a klinikai vizsgálatok képeinek átvitelével és tárolásával kapcsolatos feladatokat látja el, de támogatja az oktatási és konzultációs tevékenységeket is.
1 aNagy, Antal1 aAlexin, Zoltán1 aNyúl, László, Gábor1 aMartonossy, László1 aKuba, Attila1 aSziranyi, Tamas uhttps://www.inf.u-szeged.hu/publication/a-szegedi-tudomanyegyetem-orvosi-keparchivalo-es-tovabbito-szoftver-rendszere01087nas a2200181 4500008004100000245009000041210007700131260001300208300000800221520042600229100001600655700002000671700002800691700002500719700001700744700002000761856012400781 2000 eng d00aA Szegedi Tudományegyetem orvosi képarchiváló és továbbító szoftver rendszere0 aSzegedi Tudományegyetem orvosi képarchiváló és továbbító szoftve cJan 2000 a1153 aA Szegedi Tudományegyetem orvosi képarchiváló és -továbbítórendszer (SZOTE-PACS) szoftverének a fejlesztését ismertetjük előadásunkban. A célunk egy olyan számítógépes hálózati alkalmazás elkészítése volt, amely nemcsak a klinikai vizsgálatok képeinek átvitelével és tárolásával kapcsolatos feladatokat látja el, de támogatja az oktatási és konzultációs tevékenységeket is.
1 aNagy, Antal1 aAlexin, Zoltán1 aNyúl, László, Gábor1 aMartonossy, László1 aKuba, Attila1 aSziranyi, Tamas uhttps://www.inf.u-szeged.hu/publication/a-szegedi-tudomanyegyetem-orvosi-keparchivalo-es-tovabbito-szoftver-rendszere-000725nas a2200181 4500008004100000245011300041210006900154260002300223300000900246100001400255700002400269700002200293700001900315700002800334700002300362700000500385856015300390 2000 eng d00aTissue Characterization in Relapsing-remitting and Secondary-progressive MS via Magnetization Transfer Ratio0 aTissue Characterization in Relapsingremitting and Secondaryprogr aBerkeleycApr 2000 a11891 aGe, Yiyue1 aGrossman, Robert, J1 aUdupa, Jayaram, K1 aBabb, James, S1 aNyúl, László, Gábor1 aMcGowan, Joseph, C1 a uhttps://www.inf.u-szeged.hu/publication/tissue-characterization-in-relapsing-remitting-and-secondary-progressive-ms-via-magnetization-transfer-ratio01840nas a2200157 4500008004100000245005500041210005500096260004200151300001400193520129400207100002801501700002201529700001901551700001701570856009501587 1999 eng d00aApproach to standardizing MR image intensity scale0 aApproach to standardizing MR image intensity scale aBellingham; WashingtonbSPIEc1999/// a595 - 6033 aDespite the many advantages of MR images, they lack a standardimage intensity scale. MR image intensity ranges and the meaning of intensity values vary even for the same protocol (P) and the same body region (D). This causes many difficulties in image display and analysis. We propose a two-step method for standardizing the intensity scale in such a way that for the same P and D, similar intensities will have similar meanings. In the first step, the parameters of the standardizing transformation are 'learned' from an image set. In the second step, for each MR study, these parameters are used to map their histogram into the standardized histogram. The method was tested quantitatively on 90 whole brain FSE T2, PD and T1 studies of MS patients and qualitatively on several other SE PD, T2 and SPGR studies of the grain and foot. Measurements using mean squared difference showed that the standardized image intensities have statistically significantly more consistent range and meaning than the originals. Fixed windows can be established for standardized imags and used for display without the need of per case adjustment. Preliminary results also indicate that the method facilitates improving the degree of automation of image segmentation. 1 aNyúl, László, Gábor1 aUdupa, Jayaram, K1 aMun, Seong, Ki1 aKim, Yongmin uhttps://www.inf.u-szeged.hu/publication/approach-to-standardizing-mr-image-intensity-scale00486nas a2200121 4500008004100000245006500041210006500106260001200171100002800183700002600211700002200237856010500259 1999 eng d00aFuzzy Connected 3D Object Segmentation at Interactive Speeds0 aFuzzy Connected 3D Object Segmentation at Interactive Speeds c1999///1 aNyúl, László, Gábor1 aFalcao, Alexandre, X.1 aUdupa, Jayaram, K uhttps://www.inf.u-szeged.hu/publication/fuzzy-connected-3d-object-segmentation-at-interactive-speeds01557nas a2200193 4500008004100000245009100041210006900132260004400201300001400245520082300259100002501082700001601107700002801123700002001151700001701171700001801188700002601206856013101232 1999 eng d00aImage Compression in SZOTE-PACS (Picture Archiving and Communication System) in Szeged0 aImage Compression in SZOTEPACS Picture Archiving and Communicati aZagrebbUniversity of ZagrebcJune 1999 a305 - 3103 aSZOTE-PACS is a joint software development between the JózsefAttila University and the Albert Szent-Györgyi Medical University of Szeged for archiving and transferring medical studies. The system is able to collect medical studies from different imaging modalities and store them studies in common standard DICOM format in a central oracle database. There is an end user application that allows searching for specific studies in the central database. The archived medical images can be presented and processed at the viewing stations. Due to the limited storage space available, efforts have been made to utilized image compression techniques in order to increase the amount of image data that can be stored in the archive. The achieved results and some of the problems related to this task will be presented.
1 aMartonossy, László1 aNagy, Antal1 aNyúl, László, Gábor1 aAlexin, Zoltán1 aKuba, Attila1 aKalpic, Damir1 aDobrić, Vesna, Hljuz uhttps://www.inf.u-szeged.hu/publication/image-compression-in-szote-pacs-picture-archiving-and-communication-system-in-szeged-001555nas a2200193 4500008004100000245009100041210006900132260004400201300001400245520082300259100002501082700001601107700002801123700002001151700001701171700001801188700002601206856012901232 1999 eng d00aImage Compression in SZOTE-PACS (Picture Archiving and Communication System) in Szeged0 aImage Compression in SZOTEPACS Picture Archiving and Communicati aZagrebbUniversity of ZagrebcJune 1999 a305 - 3103 aSZOTE-PACS is a joint software development between the JózsefAttila University and the Albert Szent-Györgyi Medical University of Szeged for archiving and transferring medical studies. The system is able to collect medical studies from different imaging modalities and store them studies in common standard DICOM format in a central oracle database. There is an end user application that allows searching for specific studies in the central database. The archived medical images can be presented and processed at the viewing stations. Due to the limited storage space available, efforts have been made to utilized image compression techniques in order to increase the amount of image data that can be stored in the archive. The achieved results and some of the problems related to this task will be presented.
1 aMartonossy, László1 aNagy, Antal1 aNyúl, László, Gábor1 aAlexin, Zoltán1 aKuba, Attila1 aKalpic, Damir1 aDobrić, Vesna, Hljuz uhttps://www.inf.u-szeged.hu/publication/image-compression-in-szote-pacs-picture-archiving-and-communication-system-in-szeged00808nas a2200205 4500008004100000245011200041210006900153260001200222100002200234700002400256700002200280700002800302700002200330700001700352700001600369700002100385700002000406700002300426856015300449 1999 eng d00aMagnetization Transfer Histogram Analysis of Segmented Normal- Appearing White Matter in Multiple Sclerosis0 aMagnetization Transfer Histogram Analysis of Segmented Normal Ap c1999///1 aCatalaa, Isabelle1 aGrossman, Robert, J1 aUdupa, Jayaram, K1 aNyúl, László, Gábor1 aKolson, Dennis, L1 aWei, Lougang1 aZhang, Xuan1 aPolansky, Marcia1 aMannon, Lois, J1 aMcGowan, Joseph, C uhttps://www.inf.u-szeged.hu/publication/magnetization-transfer-histogram-analysis-of-segmented-normal-appearing-white-matter-in-multiple-sclerosis-000832nas a2200205 4500008004100000245011100041210006900152260002300221300000800244100002200252700002400274700002200298700002800320700001700348700002200365700002100387700002300408700004400431856015100475 1999 eng d00aMagnetization Transfer Histogram Analysis of Segmented Normal-Appearing White Matter in Multiple Sclerosis0 aMagnetization Transfer Histogram Analysis of Segmented NormalApp aBerkeleycMay 1999 a9571 aCatalaa, Isabelle1 aGrossman, Robert, J1 aKolson, Dennis, L1 aNyúl, László, Gábor1 aWei, Lougang1 aUdupa, Jayaram, K1 aPolansky, Marcia1 aMcGowan, Joseph, C1 a*Medicine], *[International, Society fo uhttps://www.inf.u-szeged.hu/publication/magnetization-transfer-histogram-analysis-of-segmented-normal-appearing-white-matter-in-multiple-sclerosis01346nas a2200157 4500008004100000020001400041245005600055210005600111260001200167300001400179490000900193520084000202100002801042700002201070856009601092 1999 eng d a0302-974300aNew variants of a method of MRI scale normalization0 aNew variants of a method of MRI scale normalization c1999/// a490 - 4950 v16133 aOne of the major drawbacks of Magnetic Resonance Imaging (MRI)has been the lack of a standard and quantifiable interpretation of image intensities. This causes many difficulties in image display and analysis. We have devised a two-step method wherein all images can be transformed in such a way that for the same protocol and body region, in the transformed images similar intensities will have similar tissue meaning. Normalized images can be displayed with fixed windows without the need of per case adjustment. More importantly, extraction of quantitative information about healthy organs or about abnormities, such as tumors, can considerably be simplified. This paper introduces and compares new variants of this normalization method that can help to overcome some of the problems with the original method. 1 aNyúl, László, Gábor1 aUdupa, Jayaram, K uhttps://www.inf.u-szeged.hu/publication/new-variants-of-a-method-of-mri-scale-normalization00457nas a2200121 4500008004100000245005800041210005800099260001200157100002800169700002200197700001600219856010000235 1999 eng d00aNew Variants of a Method of MRI Scale Standardization0 aNew Variants of a Method of MRI Scale Standardization c1999///1 aNyúl, László, Gábor1 aUdupa, Jayaram, K1 aZhang, Xuan uhttps://www.inf.u-szeged.hu/publication/new-variants-of-a-method-of-mri-scale-standardization-000607nas a2200145 4500008004100000245009600041210006900137260001200206100001400218700002200232700002800254700001700282700002400299856013800323 1999 eng d00aNumerical Tissue Characterization in MS via Standardization of the MR Image Intensity Scale0 aNumerical Tissue Characterization in MS via Standardization of t c1999///1 aGe, Yiyue1 aUdupa, Jayaram, K1 aNyúl, László, Gábor1 aWei, Lougang1 aGrossman, Robert, J uhttps://www.inf.u-szeged.hu/publication/numerical-tissue-characterization-in-ms-via-standardization-of-the-mr-image-intensity-scale-100402nas a2200109 4500008004100000245005000041210004700091260001200138100002800150700002200178856009200200 1999 eng d00aOn Standardizing the MR Image Intensity Scale0 aStandardizing the MR Image Intensity Scale c1999///1 aNyúl, László, Gábor1 aUdupa, Jayaram, K uhttps://www.inf.u-szeged.hu/publication/on-standardizing-the-mr-image-intensity-scale-001715nas a2200157 4500008004100000020001400041245005000055210004700105260001200152300001600164490000700180520123000187100002801417700002201445856009001467 1999 eng d a0740-319400aOn standardizing the MR image intensity scale0 astandardizing the MR image intensity scale c1999/// a1072 - 10810 v423 aThe lack of a standard image intensity scale in MRI causes manydifficulties in image display and analysis. A two-step postprocessing method is proposed for standardizing the intensity scale in such a way that for the same MR protocol and body region, similar intensities will have similar tissue meaning. In the first step, the parameters of the standardizing transformation are "learned" from a set of images. In the second step, for each MR study these parameters are used to map their histogram into the standardized histogram. The method was tested quantitatively on 90 whole-brain studies of multiple sclerosis patients for several protocols and qualitatively for several other protocols and body regions. Measurements using mean squared difference showed that the standardized image intensities have statistically significantly (P < 0.01) more consistent range and meaning than the originals. Fixed gray level windows can be established for the standardized images and used for display without the need of per case adjustment. Preliminary results also indicate that the method facilitates improving the degree of automation of image segmentation. Magn Reson Med 42:1072-1081, 1999. 1 aNyúl, László, Gábor1 aUdupa, Jayaram, K uhttps://www.inf.u-szeged.hu/publication/on-standardizing-the-mr-image-intensity-scale01501nas a2200205 4500008004100000020001400041245006800055210006600123260001200189300001400201490000700215520084000222100002001062700001801082700002101100700001701121700002801138700002101166856010801187 1998 eng d a0895-611100aA comparison of lossless compression methods for medical images0 acomparison of lossless compression methods for medical images c1998/// a323 - 3390 v223 aIn this work, lossless grayscale image compression methods arecompared on a medical image database. The database contains 10 different types of images with bit rates varying from 8 to 16 bits per pixel. The total number of test images was about 3000, originating from 125 different patient studies. Methods used for compressing the images include seven methods designed for grayscale images and 18 ordinary general-purpose compression programs. Furthermore, four compressed image file formats were used. The results show that the compression ratios strongly depend on the type of the image. The best methods turned out to be TMW, CALIC and JPEG-LS. The analysis step in TMW is very time-consuming. CALIC gives high compression ratios in a reasonable time, whereas JPEG-LS is nearly as effective and very fast. 1 aKivijarvi, Juha1 aOjala, Tamás1 aKaukoranta, Timo1 aKuba, Attila1 aNyúl, László, Gábor1 aNevalainen, Olli uhttps://www.inf.u-szeged.hu/publication/a-comparison-of-lossless-compression-methods-for-medical-images00627nas a2200157 4500008004100000245009100041210006900132260001200201100002000213700001800233700002100251700001700272700002800289700002100317856013100338 1998 eng d00aThe Comparison of Lossless Compression Methods in the Case of a Medical Image Database0 aComparison of Lossless Compression Methods in the Case of a Medi c1998///1 aKivijarvi, Juha1 aOjala, Tamás1 aKaukoranta, Timo1 aKuba, Attila1 aNyúl, László, Gábor1 aNevalainen, Olli uhttps://www.inf.u-szeged.hu/publication/the-comparison-of-lossless-compression-methods-in-the-case-of-a-medical-image-database02128nas a2200193 4500008004100000245005500041210005500096260005500151300000700206520148200213100002201695700001701717700001701734700002001751700001601771700002801787700002201815856009701837 1998 eng d00aExperience with the SZOTE PACS Starting Operations0 aExperience with the SZOTE PACS Starting Operations aBudapestbMagyar Radiológus TársaságcJune 1998 a683 aIntroduction: During the last four years a Picture Archiving andCommunication System (PACS) has been developed in the University mainly for educational purposes. The original intention was to use the system as a non-stop routine PACS, so the images of the modalities of the system should be available to the workstations connected to the University network at the different clinics. Material and method: Two CTs, one MR, one ultrasound, three fluoroscopy devices, two SPECTs, two gamma cameras and one X-ray film scanner have been connected to the computer network at SZOTE. One Silicon Graphics Challenge DM central image server collects the images and related data. The picture archiving and communication is DICOM conform. An ORACLE data management system facilitates the data retrieval. Step by step testing of the operation of the system began with the transport, conversion and archiving of images of two CTs, one MR and one SPECT: Results: The daily archiving of about 5000 images on 80-100 patients gradually demonstrated the slight incompatibility of DICOM or Interfile of the image modalities or converter stations and the minor shortcomings of the software. Three educational cabinets have been installed, in which the practical teaching of radiology has been performed since 1996. Discussion/conclusion: Full automatization is necessary for handling such huge amount of images. For this the PACS and RIS/HIS connection was needed which was successed as well.
1 aAlmási, László1 aSóti, Zsolt1 aKuba, Attila1 aAlexin, Zoltán1 aNagy, Antal1 aNyúl, László, Gábor1 aCsernay, László uhttps://www.inf.u-szeged.hu/publication/experience-with-the-szote-pacs-starting-operations-202128nas a2200193 4500008004100000245005500041210005500096260005500151300000700206520148200213100002201695700001701717700001701734700002001751700001601771700002801787700002201815856009701837 1998 eng d00aExperience with the SZOTE PACS Starting Operations0 aExperience with the SZOTE PACS Starting Operations aBudapestbMagyar Radiológus TársaságcJune 1998 a683 aIntroduction: During the last four years a Picture Archiving andCommunication System (PACS) has been developed in the University mainly for educational purposes. The original intention was to use the system as a non-stop routine PACS, so the images of the modalities of the system should be available to the workstations connected to the University network at the different clinics. Material and method: Two CTs, one MR, one ultrasound, three fluoroscopy devices, two SPECTs, two gamma cameras and one X-ray film scanner have been connected to the computer network at SZOTE. One Silicon Graphics Challenge DM central image server collects the images and related data. The picture archiving and communication is DICOM conform. An ORACLE data management system facilitates the data retrieval. Step by step testing of the operation of the system began with the transport, conversion and archiving of images of two CTs, one MR and one SPECT: Results: The daily archiving of about 5000 images on 80-100 patients gradually demonstrated the slight incompatibility of DICOM or Interfile of the image modalities or converter stations and the minor shortcomings of the software. Three educational cabinets have been installed, in which the practical teaching of radiology has been performed since 1996. Discussion/conclusion: Full automatization is necessary for handling such huge amount of images. For this the PACS and RIS/HIS connection was needed which was successed as well.
1 aAlmási, László1 aSóti, Zsolt1 aKuba, Attila1 aAlexin, Zoltán1 aNagy, Antal1 aNyúl, László, Gábor1 aCsernay, László uhttps://www.inf.u-szeged.hu/publication/experience-with-the-szote-pacs-starting-operations-000676nas a2200205 4500008004100000245005500041210005400096260002400150300001200174100002200186700001700208700001700225700002000242700001600262700002800278700002200306700002200328700002500350856009500375 1998 eng d00aExperience with the SZOTE-PACS Starting Operations0 aExperience with the SZOTEPACS Starting Operations aBarcelonacOct 1998 a43 - 441 aAlmási, László1 aSóti, Zsolt1 aKuba, Attila1 aAlexin, Zoltán1 aNagy, Antal1 aNyúl, László, Gábor1 aCsernay, László1 aPiqueras, Joaquim1 aCarreno, Joan-Carles uhttps://www.inf.u-szeged.hu/publication/experience-with-the-szote-pacs-starting-operations00678nas a2200205 4500008004100000245005500041210005400096260002400150300001200174100002200186700001700208700001700225700002000242700001600262700002800278700002200306700002200328700002500350856009700375 1998 eng d00aExperience with the SZOTE-PACS Starting Operations0 aExperience with the SZOTEPACS Starting Operations aBarcelonacOct 1998 a43 - 441 aAlmási, László1 aSóti, Zsolt1 aKuba, Attila1 aAlexin, Zoltán1 aNagy, Antal1 aNyúl, László, Gábor1 aCsernay, László1 aPiqueras, Joaquim1 aCarreno, Joan-Carles uhttps://www.inf.u-szeged.hu/publication/experience-with-the-szote-pacs-starting-operations-101969nas a2200193 4500008004100000245004100041210004000082260005500122300000700177520136600184100001701550700002201567700001701589700002001606700001601626700002801642700002201670856008301692 1998 eng d00aImage Presentation in the SZOTE-PACS0 aImage Presentation in the SZOTEPACS aBudapestbMagyar Radiológus TársaságcJune 1998 a563 aThe SZOTE Picture Archiving and Communication System (SZOTEPACS) is used for: - teaching graduate and postgraduate students - picture archiving for scientific purposes - archiving and consulting data from radiological and nuclear medicine examinations In order to implement these tasks, archiving is not enough; it is also necessary to display images in various clinics and departments. On the basis of the cost/benefit principle, after an appropriate selection, Silicon Graphics workstations (Indy Modeler R5000PC microprocessor, 32 MB RM, 1 GB disc, 17”/8 bit color monitor) and Albacom Activa Standard computers (Intel Pentium 200 Mhz CPU, 32 MB EDO RAM, 2.1 GB disc, 17” GoldStar 78i color monitor) were implemented into the system. The problem of a relatively easy and fast search in the PACS image database is solved, if access is granted. The images are transferred to the workstations (viewing stations) in DICOM 3.0 format. The images processing program OSIRIS is suitable for the processing of images in DICOM format. The resolution of the viewing station display is: Silicon Graphics 1280 x 1024 x 8 bit; Albacom 1600 x 1200 x 8 bit. For the matrix specified above, the 256 grey scale is suitable for display of the chosen images in good quality, consultation with clinicians, and the comparison of control examinations with previous ones.
1 aSóti, Zsolt1 aAlmási, László1 aKuba, Attila1 aAlexin, Zoltán1 aNagy, Antal1 aNyúl, László, Gábor1 aCsernay, László uhttps://www.inf.u-szeged.hu/publication/image-presentation-in-the-szote-pacs-001967nas a2200193 4500008004100000245004100041210004000082260005500122300000700177520136600184100001701550700002201567700001701589700002001606700001601626700002801642700002201670856008101692 1998 eng d00aImage Presentation in the SZOTE-PACS0 aImage Presentation in the SZOTEPACS aBudapestbMagyar Radiológus TársaságcJune 1998 a563 aThe SZOTE Picture Archiving and Communication System (SZOTEPACS) is used for: - teaching graduate and postgraduate students - picture archiving for scientific purposes - archiving and consulting data from radiological and nuclear medicine examinations In order to implement these tasks, archiving is not enough; it is also necessary to display images in various clinics and departments. On the basis of the cost/benefit principle, after an appropriate selection, Silicon Graphics workstations (Indy Modeler R5000PC microprocessor, 32 MB RM, 1 GB disc, 17”/8 bit color monitor) and Albacom Activa Standard computers (Intel Pentium 200 Mhz CPU, 32 MB EDO RAM, 2.1 GB disc, 17” GoldStar 78i color monitor) were implemented into the system. The problem of a relatively easy and fast search in the PACS image database is solved, if access is granted. The images are transferred to the workstations (viewing stations) in DICOM 3.0 format. The images processing program OSIRIS is suitable for the processing of images in DICOM format. The resolution of the viewing station display is: Silicon Graphics 1280 x 1024 x 8 bit; Albacom 1600 x 1200 x 8 bit. For the matrix specified above, the 256 grey scale is suitable for display of the chosen images in good quality, consultation with clinicians, and the comparison of control examinations with previous ones.
1 aSóti, Zsolt1 aAlmási, László1 aKuba, Attila1 aAlexin, Zoltán1 aNagy, Antal1 aNyúl, László, Gábor1 aCsernay, László uhttps://www.inf.u-szeged.hu/publication/image-presentation-in-the-szote-pacs00626nas a2200193 4500008004100000245004500041210004400086260002700130300001200157100002500169700002800194700001600222700001700238700002100255700002200276700002200298700002500320856008700345 1998 eng d00aLossless Image Compression in SZOTE-PACS0 aLossless Image Compression in SZOTEPACS aBarcelonab*cOct 1998 a95 - 981 aMartonossy, László1 aNyúl, László, Gábor1 aNagy, Antal1 aKuba, Attila1 aNevalainen, Olli1 aCsernay, László1 aPiqueras, Joaquim1 aCarreno, Joan-Carles uhttps://www.inf.u-szeged.hu/publication/lossless-image-compression-in-szote-pacs-000624nas a2200193 4500008004100000245004500041210004400086260002700130300001200157100002500169700002800194700001600222700001700238700002100255700002200276700002200298700002500320856008500345 1998 eng d00aLossless Image Compression in SZOTE-PACS0 aLossless Image Compression in SZOTEPACS aBarcelonab*cOct 1998 a95 - 981 aMartonossy, László1 aNyúl, László, Gábor1 aNagy, Antal1 aKuba, Attila1 aNevalainen, Olli1 aCsernay, László1 aPiqueras, Joaquim1 aCarreno, Joan-Carles uhttps://www.inf.u-szeged.hu/publication/lossless-image-compression-in-szote-pacs00563nas a2200145 4500008004100000245005900041210005900100260005500159300000700214490003300221100001600254700002800270700002000298856009900318 1998 eng d00aSoftware Development of Medical Image Archiving System0 aSoftware Development of Medical Image Archiving System aSzegedbJózsef Attila TudományegyetemcJuly 1998 a790 vVolume of Extended Abstracts1 aNagy, Antal1 aNyúl, László, Gábor1 aAlexin, Zoltán uhttps://www.inf.u-szeged.hu/publication/software-development-of-medical-image-archiving-system00565nas a2200145 4500008004100000245005900041210005900100260005500159300000700214490003300221100001600254700002800270700002000298856010100318 1998 eng d00aSoftware Development of Medical Image Archiving System0 aSoftware Development of Medical Image Archiving System aSzegedbJózsef Attila TudományegyetemcJuly 1998 a790 vVolume of Extended Abstracts1 aNagy, Antal1 aNyúl, László, Gábor1 aAlexin, Zoltán uhttps://www.inf.u-szeged.hu/publication/software-development-of-medical-image-archiving-system-001892nas a2200169 4500008004100000245010800041210006900149260005500218300000700273520118900280100001601469700002801485700002001513700001701533700002201550856015001572 1998 eng d00aThe Software of the Digital Picture Archiving and Communication System Based on DICOM Standard at SZOTE0 aSoftware of the Digital Picture Archiving and Communication Syst aBudapestbMagyar Radiológus TársaságcJune 1998 a553 aSZOTE-PACS has been developed since 1995. The aim was to collectdigital images produced by existing and new medical imaging modalities which are placed in different buildings. After collection the images are transmitted and built in to a central database. From the images database the PACS users are able to query study data and images easily. The software system consists of three main type of clients: the admitting, the server and the viewing subsystems taking into account the local circumstances. The images produced by the modalities go to the admitting stations. The studies that are not in DICOM format (Interfile, ACR-NEMA 2.0) are converted to DICOM. All studies are sent to the PACSW server in DICOM format. The images are managed by an Oracle Database Se3rver on the PACWS server. The end users are able to query the data by SQL at the viewing stations. The SZOTE-PACS system provides an efficient PACS for physicians, medical doctors and students. It can be used for making educational material, scientific work and diagnosis as well. The completed parts, the process of the working and the plan of the future development of this software system will be presented.
1 aNagy, Antal1 aNyúl, László, Gábor1 aAlexin, Zoltán1 aKuba, Attila1 aCsernay, László uhttps://www.inf.u-szeged.hu/publication/the-software-of-the-digital-picture-archiving-and-communication-system-based-on-dicom-standard-at-szote-001890nas a2200169 4500008004100000245010800041210006900149260005500218300000700273520118900280100001601469700002801485700002001513700001701533700002201550856014801572 1998 eng d00aThe Software of the Digital Picture Archiving and Communication System Based on DICOM Standard at SZOTE0 aSoftware of the Digital Picture Archiving and Communication Syst aBudapestbMagyar Radiológus TársaságcJune 1998 a553 aSZOTE-PACS has been developed since 1995. The aim was to collectdigital images produced by existing and new medical imaging modalities which are placed in different buildings. After collection the images are transmitted and built in to a central database. From the images database the PACS users are able to query study data and images easily. The software system consists of three main type of clients: the admitting, the server and the viewing subsystems taking into account the local circumstances. The images produced by the modalities go to the admitting stations. The studies that are not in DICOM format (Interfile, ACR-NEMA 2.0) are converted to DICOM. All studies are sent to the PACSW server in DICOM format. The images are managed by an Oracle Database Se3rver on the PACWS server. The end users are able to query the data by SQL at the viewing stations. The SZOTE-PACS system provides an efficient PACS for physicians, medical doctors and students. It can be used for making educational material, scientific work and diagnosis as well. The completed parts, the process of the working and the plan of the future development of this software system will be presented.
1 aNagy, Antal1 aNyúl, László, Gábor1 aAlexin, Zoltán1 aKuba, Attila1 aCsernay, László uhttps://www.inf.u-szeged.hu/publication/the-software-of-the-digital-picture-archiving-and-communication-system-based-on-dicom-standard-at-szote01328nas a2200181 4500008004100000245008400041210006900125260004400194300001400238520064300252100001600895700002800911700002000939700001700959700001800976700002600994856012601020 1998 eng d00aThe Software System of the Picture Archiving and Communication System in Szeged0 aSoftware System of the Picture Archiving and Communication Syste aZagrebbUniversity of ZagrebcJune 1998 a183 - 1873 aSZOTE-PACS is a joint software development for archiving andtransferring medical studies of the József Attila University and the Albert Szent-Györgyi Medical University of Szeged. The system is able to collect medical studies from different imaging modalities and store those studies in common standardised DICOM format in a central Oracle database. There is an end user application that can search for specific studies in the central database. The archived medical images can be presented and processed at the viewing stations. SZOTE-PACS also supports the creation and presentation of educational material for medical students.
1 aNagy, Antal1 aNyúl, László, Gábor1 aAlexin, Zoltán1 aKuba, Attila1 aKalpic, Damir1 aDobrić, Vesna, Hljuz uhttps://www.inf.u-szeged.hu/publication/the-software-system-of-the-picture-archiving-and-communication-system-in-szeged-001327nas a2200181 4500008004100000245008400041210006900125260004500194300001400239520064300253100001600896700002800912700002000940700001700960700001800977700002600995856012401021 1998 eng d00aThe Software System of the Picture Archiving and Communication System in Szeged0 aSoftware System of the Picture Archiving and Communication Syste aZagrebbUniversity of Zagrebc1998.06.16 a183 - 1873 aSZOTE-PACS is a joint software development for archiving andtransferring medical studies of the József Attila University and the Albert Szent-Györgyi Medical University of Szeged. The system is able to collect medical studies from different imaging modalities and store those studies in common standardised DICOM format in a central Oracle database. There is an end user application that can search for specific studies in the central database. The archived medical images can be presented and processed at the viewing stations. SZOTE-PACS also supports the creation and presentation of educational material for medical students.
1 aNagy, Antal1 aNyúl, László, Gábor1 aAlexin, Zoltán1 aKuba, Attila1 aKalpic, Damir1 aDobrić, Vesna, Hljuz uhttps://www.inf.u-szeged.hu/publication/the-software-system-of-the-picture-archiving-and-communication-system-in-szeged01866nas a2200157 4500008004100000020001400041245005000055210004700105260001200152300001400164490000800178520138000186100002801566700002201594856009201616 1998 eng d a0033-841900aOn Standardizing the MR Image Intensity Scale0 aStandardizing the MR Image Intensity Scale c1998/// a581 - 5820 v2093 aPURPOSE: MR image intensities have varying ranges and meaningeven for the same protocol (P) and body region (D). This causes many difficulties in image display and analysis. This exhibit describes a method of standardizing the intensity scale, so that for the same P and D, similar intensities will have similar meaning. MATERIALS AND METHODS: In the TRAINING phase (done only once for a given P and D), the parameters of the standardizing transformation are "learnt" from an image set. In the MAPPING phase, done for each MR study, these parameters are utilized to determine the mapping needed to deform its histogram into the standardized histogram. The method was tested quantitatively on 90 brain FSE T2, PD and T1 studies of MS patients and qualitatively on an additional 15 SE PD, T1 and SPGR studies of the brain and foot. RESULTS: As measured by mean squared difference, standardized images have statistically significantly (p<0.01) more consistent range and meaning than those without. Fixed windows that do not require per study adjustment can be established for the standardized images. CONCLUSIONS: Standardizing MR intensity scales to overcome the difficulties due to widely varying intensity meaning is feasible by protocol and body region. This can be implemented in a PACS via DICOM value of interest look up tables. 1 aNyúl, László, Gábor1 aUdupa, Jayaram, K uhttps://www.inf.u-szeged.hu/publication/on-standardizing-the-mr-image-intensity-scale-101915nas a2200205 4500008004100000245003200041210003100073260005500104300000700159520130700166100002201473700002201495700001701517700002001534700002001554700001601574700002801590700001701618856007401635 1998 eng d00aStructure of the SZOTE-PACS0 aStructure of the SZOTEPACS aBudapestbMagyar Radiológus TársaságcJune 1998 a673 aIntroduction: The progress in computer techniques has resultedin the digital archivation and transport of images of radiology and nuclear medicine without loss of information. The images and image series produced by various image modalities are converted to a uniform image format, which provides their interconnectivity and interoperability. The image transport is very important at hospitals comprising pavilion systems. Material and method: Through the computer network of the SZOTE Picture Archiving and Communication System (SZOTE PACS) serves the radiology education with the aid of computer displays. Result: ATM network devices allow the fast transfer of images. Silicon Graphics and PC viewing stations provide fast image processing and presentation. Use of the DICOM standards in SZOTE PACS permits the development of teleradiology services. Discussion: The hardware structure and the parameters of the system will be presented in detail. The PACS is connected to the Radiology Information System of the Department of Radiology and the Department of Nuclear Medicine. Conclusion: This makes automatic image archiving possible. The system is user-friendly: it can be handled with minimum computer knowledge. A group has been established at the University to perform the PACS management.
1 aCsernay, László1 aAlmási, László1 aSóti, Zsolt1 aJánosi, János1 aAlexin, Zoltán1 aNagy, Antal1 aNyúl, László, Gábor1 aKuba, Attila uhttps://www.inf.u-szeged.hu/publication/structure-of-the-szote-pacs-001913nas a2200205 4500008004100000245003200041210003100073260005500104300000700159520130700166100002201473700002201495700001701517700002001534700002001554700001601574700002801590700001701618856007201635 1998 eng d00aStructure of the SZOTE-PACS0 aStructure of the SZOTEPACS aBudapestbMagyar Radiológus TársaságcJune 1998 a673 aIntroduction: The progress in computer techniques has resultedin the digital archivation and transport of images of radiology and nuclear medicine without loss of information. The images and image series produced by various image modalities are converted to a uniform image format, which provides their interconnectivity and interoperability. The image transport is very important at hospitals comprising pavilion systems. Material and method: Through the computer network of the SZOTE Picture Archiving and Communication System (SZOTE PACS) serves the radiology education with the aid of computer displays. Result: ATM network devices allow the fast transfer of images. Silicon Graphics and PC viewing stations provide fast image processing and presentation. Use of the DICOM standards in SZOTE PACS permits the development of teleradiology services. Discussion: The hardware structure and the parameters of the system will be presented in detail. The PACS is connected to the Radiology Information System of the Department of Radiology and the Department of Nuclear Medicine. Conclusion: This makes automatic image archiving possible. The system is user-friendly: it can be handled with minimum computer knowledge. A group has been established at the University to perform the PACS management.
1 aCsernay, László1 aAlmási, László1 aSóti, Zsolt1 aJánosi, János1 aAlexin, Zoltán1 aNagy, Antal1 aNyúl, László, Gábor1 aKuba, Attila uhttps://www.inf.u-szeged.hu/publication/structure-of-the-szote-pacs01278nas a2200157 4500008004100000245005600041210005400097260003100151300001200182520074600194100001600940700002800956700002100984700001801005856009701023 1998 eng d00aTapasztalatok a DICOM szabvánnyal a SZOTE-PACS-ban0 aTapasztalatok a DICOM szabvánnyal a SZOTEPACSban aVeszprémbNJSZTcNov 1998 a71 - 733 a1995-ben, amikor a SZOTE-PACS fejlesztése elkezdődött, a DICOMszabványt választottuk, mint közös file formátumot a vizsgálati képek átvitelére. Ebben a cikkben a DICOM-mal kapcsolatos problémáinkat és a megoldásokat fogjuk ismertetni. Tapasztalataink szerint a problémák nagy része a szabványnak a szoftver-gyártók által hibás vagy hiányos megvalósításával magyarázható. Kis változtatások után az adatátvitel különböző rendszerek és modalitások között általában sikeres volt. A szabványt ellenőrző általunk fejlesztett eszközök nagyban segítették a munkánkat ebben. Külön kitérünk a rendszerben használt automatikus műveletek ismertetésére és ezek továbbfejlesztésére.
1 aNagy, Antal1 aNyúl, László, Gábor1 aKozmann, György1 aSzakolczai, K uhttps://www.inf.u-szeged.hu/publication/tapasztalatok-a-dicom-szabvannyal-a-szote-pacs-ban-001276nas a2200157 4500008004100000245005600041210005400097260003100151300001200182520074600194100001600940700002800956700002100984700001801005856009501023 1998 eng d00aTapasztalatok a DICOM szabvánnyal a SZOTE-PACS-ban0 aTapasztalatok a DICOM szabvánnyal a SZOTEPACSban aVeszprémbNJSZTcNov 1998 a71 - 733 a1995-ben, amikor a SZOTE-PACS fejlesztése elkezdődött, a DICOMszabványt választottuk, mint közös file formátumot a vizsgálati képek átvitelére. Ebben a cikkben a DICOM-mal kapcsolatos problémáinkat és a megoldásokat fogjuk ismertetni. Tapasztalataink szerint a problémák nagy része a szabványnak a szoftver-gyártók által hibás vagy hiányos megvalósításával magyarázható. Kis változtatások után az adatátvitel különböző rendszerek és modalitások között általában sikeres volt. A szabványt ellenőrző általunk fejlesztett eszközök nagyban segítették a munkánkat ebben. Külön kitérünk a rendszerben használt automatikus műveletek ismertetésére és ezek továbbfejlesztésére.
1 aNagy, Antal1 aNyúl, László, Gábor1 aKozmann, György1 aSzakolczai, K uhttps://www.inf.u-szeged.hu/publication/tapasztalatok-a-dicom-szabvannyal-a-szote-pacs-ban01288nas a2200181 4500008004100000245015700041210007900198260009600277300001400373520042000387100001900807700001700826700002800843700001600871700002000887700001900907856018000926 1997 eng d00aAdatvédelem és jogosultság a SZOTE képarchiváló és továbbító rendszerébenMagyar Képfeldolgozók és Alakfelismerők Országos Konferenciája0 aAdatvédelem és jogosultság a SZOTE képarchiváló és továbbító ren aKeszthelybPannon Agrártudományi Egyetem Georgikon Mezőgazdaságtudományi KarcOct 1997 a186 - 1883 aEgy tervet ismertetünk, amellyel orvosi képarchiváló- éstovábbító rendszerek adatvédelme és jogosultsága biztosítható nyilvános számítógépes hálózatok esetén is. A védelem azon alapszik, hogy a hálózatba küldött üzeneteket a DICOM protokoll megfelelő szintjén küdoljuk. A jogosultság ellenőrzését pedig egy új, a DICOM protokollba beépített parancs-pár teszi lehetővé.
1 aBánfi, Gábor1 aKuba, Attila1 aNyúl, László, Gábor1 aNagy, Antal1 aSziranyi, Tamas1 aBerke, József uhttps://www.inf.u-szeged.hu/publication/adatvedelem-es-jogosultsag-a-szote-keparchivalo-es-tovabbito-rendszerebenmagyar-kepfeldolgozok-es-alakfelismerok-orszagos-konferenciaja01158nas a2200181 4500008004100000245008900041210007900130260009600209300001400305520042000319100001900739700001700758700002800775700001600803700002000819700001900839856011800858 1997 eng d00aAdatvédelem és jogosultság a SZOTE képarchiváló és továbbító rendszerében0 aAdatvédelem és jogosultság a SZOTE képarchiváló és továbbító ren aKeszthelybPannon Agrártudományi Egyetem Georgikon Mezőgazdaságtudományi KarcOct 1997 a186 - 1883 aEgy tervet ismertetünk, amellyel orvosi képarchiváló- éstovábbító rendszerek adatvédelme és jogosultsága biztosítható nyilvános számítógépes hálózatok esetén is. A védelem azon alapszik, hogy a hálózatba küldött üzeneteket a DICOM protokoll megfelelő szintjén küdoljuk. A jogosultság ellenőrzését pedig egy új, a DICOM protokollba beépített parancs-pár teszi lehetővé.
1 aBánfi, Gábor1 aKuba, Attila1 aNyúl, László, Gábor1 aNagy, Antal1 aSziranyi, Tamas1 aBerke, József uhttps://www.inf.u-szeged.hu/publication/adatvedelem-es-jogosultsag-a-szote-keparchivalo-es-tovabbito-rendszereben02023nas a2200181 4500008004100000020001400041245008200055210007800137260001200215300000600227490000700233520140800240100002001648700001701668700002801685700001601713856011201729 1997 eng d a0025-028700aModuláris DICOM-alapú kép-archiváló és -továbbító rendszer a SZOTE-n0 aModuláris DICOMalapú képarchiváló és továbbító rendszer a SZOTEn c1997/// a60 v713 aTöbbéves fejlesztési munka eredményeként elkészült a SZOTE kép-archiváló és -továbbító rendszere, a SZOTE-PACS (Picture Archiving and Communication Systems - PACS). Olyan rendszert készítettünk, amely csaknem valamennyi modalitásról képes vizsgálatokat begyűjteni, azokat szabványos DICOm formára átkonvertálni, a központi szerverre átküldeni, ott archiválni és a különböző megjelenítő és feldolgozó állomásokról igényelt vizsgálatokat az Archívumból kiadni. A SZOTE-PACS többféle számítógépes platformon (UNIX, PC, Amiga) képes működni. Egységes grafikus felhasználói felület segíti a felhasználók munkáját. A moduláris felépítés lehetővé teszi, hogy a különféle alrendszerek onállóan végezzenek el feladatokat (pl. adatgyűjtés és -konverzió, archiválás, feldolgozás és megjelenítés). Az Archívumban való keresést Oracle adatbáziskezelő segíti. Ugyancsak az Oracle segítségével oldottuk meg az Archívum adatvédelmét azáltal, hogy csak a megfelelő jogosultsággal rendelkező felhasználók férhetnek hozzá az Archívum számukra engedélyezett részéhez. A SZOTE-PACS támogatja a demonstrációs (oktatási, kutatási) anyagok készítését azáltal, hogy a vizsgálatok (képek, szövegek, numerikus adatok) HTML formátumú kivitelét is lehetővé teszi. 1 aAlexin, Zoltán1 aKuba, Attila1 aNyúl, László, Gábor1 aNagy, Antal uhttps://www.inf.u-szeged.hu/publication/modularis-dicom-alapu-kep-archivalo-es-tovabbito-rendszer-a-szote-n02022nas a2200181 4500008004100000020001400041245008200055210007800137260000900215300000600224490000700230520140800237100002001645700001701665700002801682700001601710856011401726 1997 eng d a0025-028700aModuláris DICOM-alapú kép-archiváló és -továbbító rendszer a SZOTE-n0 aModuláris DICOMalapú képarchiváló és továbbító rendszer a SZOTEn c1997 a60 v713 aTöbbéves fejlesztési munka eredményeként elkészült a SZOTE kép-archiváló és -továbbító rendszere, a SZOTE-PACS (Picture Archiving and Communication Systems - PACS). Olyan rendszert készítettünk, amely csaknem valamennyi modalitásról képes vizsgálatokat begyűjteni, azokat szabványos DICOm formára átkonvertálni, a központi szerverre átküldeni, ott archiválni és a különböző megjelenítő és feldolgozó állomásokról igényelt vizsgálatokat az Archívumból kiadni. A SZOTE-PACS többféle számítógépes platformon (UNIX, PC, Amiga) képes működni. Egységes grafikus felhasználói felület segíti a felhasználók munkáját. A moduláris felépítés lehetővé teszi, hogy a különféle alrendszerek onállóan végezzenek el feladatokat (pl. adatgyűjtés és -konverzió, archiválás, feldolgozás és megjelenítés). Az Archívumban való keresést Oracle adatbáziskezelő segíti. Ugyancsak az Oracle segítségével oldottuk meg az Archívum adatvédelmét azáltal, hogy csak a megfelelő jogosultsággal rendelkező felhasználók férhetnek hozzá az Archívum számukra engedélyezett részéhez. A SZOTE-PACS támogatja a demonstrációs (oktatási, kutatási) anyagok készítését azáltal, hogy a vizsgálatok (képek, szövegek, numerikus adatok) HTML formátumú kivitelét is lehetővé teszi. 1 aAlexin, Zoltán1 aKuba, Attila1 aNyúl, László, Gábor1 aNagy, Antal uhttps://www.inf.u-szeged.hu/publication/modularis-dicom-alapu-kep-archivalo-es-tovabbito-rendszer-a-szote-n-001477nas a2200205 4500008004100000245006300041210006300104260009800167300001400265520073200279100001701011700002001028700002801048700001601076700002201092700002201114700002001136700001901156856009601175 1997 eng d00aOrvosi képarchiváló és továbbító rendszer szoftvere0 aOrvosi képarchiváló és továbbító rendszer szoftvere aKeszthelybPannon Agrártudományi Egyetem Georgikon Mezőgazdaságtudományi Karc1997.10.09 a189 - 1933 aAz ismertetendő képarchiváló és -továbbító rendszer a szegediOrvostudományi Egyetem számára készült. A fejlesztés fő célja az volt, hogy egy olyan rendszert állítsunk elő, amely összegyájti a különböző képfelvevő berendezések (pl. CT, MR, NM, SPECT, US) által előállított beteg vizsgálatokat. A SZOTE-PACS a vizsgálatokat DICOM szabvány szerint archiválja Oracle adatbázis kezelő rendszerrel. Ezeket a vizsgálatokat a felhasználók lekérhetik az archívumból egy könnyen használható grafikus felülettel rendelkező programmal. Az adatbázisban tárolt képeket és egyéb információkat fel lehet használni oktatási anyag készítéséhez az orvostanhallgatók számára.
1 aKuba, Attila1 aAlexin, Zoltán1 aNyúl, László, Gábor1 aNagy, Antal1 aCsernay, László1 aAlmási, László1 aSziranyi, Tamas1 aBerke, József uhttps://www.inf.u-szeged.hu/publication/orvosi-keparchivalo-es-tovabbito-rendszer-szoftvere01479nas a2200205 4500008004100000245006300041210006300104260009800167300001400265520073200279100001701011700002001028700002801048700001601076700002201092700002201114700002001136700001901156856009801175 1997 eng d00aOrvosi képarchiváló és továbbító rendszer szoftvere0 aOrvosi képarchiváló és továbbító rendszer szoftvere aKeszthelybPannon Agrártudományi Egyetem Georgikon Mezőgazdaságtudományi Karc1997.10.09 a189 - 1933 aAz ismertetendő képarchiváló és -továbbító rendszer a szegediOrvostudományi Egyetem számára készült. A fejlesztés fő célja az volt, hogy egy olyan rendszert állítsunk elő, amely összegyájti a különböző képfelvevő berendezések (pl. CT, MR, NM, SPECT, US) által előállított beteg vizsgálatokat. A SZOTE-PACS a vizsgálatokat DICOM szabvány szerint archiválja Oracle adatbázis kezelő rendszerrel. Ezeket a vizsgálatokat a felhasználók lekérhetik az archívumból egy könnyen használható grafikus felülettel rendelkező programmal. Az adatbázisban tárolt képeket és egyéb információkat fel lehet használni oktatási anyag készítéséhez az orvostanhallgatók számára.
1 aKuba, Attila1 aAlexin, Zoltán1 aNyúl, László, Gábor1 aNagy, Antal1 aCsernay, László1 aAlmási, László1 aSziranyi, Tamas1 aBerke, József uhttps://www.inf.u-szeged.hu/publication/orvosi-keparchivalo-es-tovabbito-rendszer-szoftvere-001589nas a2200193 4500008004100000245006400041210006200105260002200167300001200189520094400201100001601145700002801161700001701189700002001206700002201226700002201248700002201270856010301292 1997 eng d00aProblems and Solutions: One Year Experience with SZOTE-PACS0 aProblems and Solutions One Year Experience with SZOTEPACS aPisab*cSep 1997 a39 - 423 aIn 1995 when the development of the SZOTE-PACS (PACS of theAlbert Szent-Györgyi Medical University) begun, we chose DICOM as the common file format and a possible file transfer protocol for our PACS. Now, we present the problems and our solutions connected with the application of the DICOM standard. According to our experiences the problems can be explained as the misinterpretation of the complex, complicated and extensive standard. After some minor adjustments the exchange of study data between different systems, vendors, and even modalities was generally successful. Diagnostic tools for testing DICOM files coming from different modalities are a help to the adjustments. In the second part we present the automatic procedures built into SZOTE-PACS: automatic data-conversion, -edition (including existing RIS data and predefined study parameters), lossless image data compression, checking and transmission to the Archive.
1 aNagy, Antal1 aNyúl, László, Gábor1 aKuba, Attila1 aAlexin, Zoltán1 aAlmási, László1 aBartolozzi, Carlo1 aCaramella, Davide uhttps://www.inf.u-szeged.hu/publication/problems-and-solutions-one-year-experience-with-szote-pacs01598nas a2200193 4500008004100000245006400041210006200105260002900167300001200196520094400208100001601152700002801168700001701196700002001213700002201233700002201255700002201277856010501299 1997 eng d00aProblems and Solutions: One Year Experience with SZOTE-PACS0 aProblems and Solutions One Year Experience with SZOTEPACS aPisa, Italyb*cSep 1997 a39 - 423 aIn 1995 when the development of the SZOTE-PACS (PACS of theAlbert Szent-Györgyi Medical University) begun, we chose DICOM as the common file format and a possible file transfer protocol for our PACS. Now, we present the problems and our solutions connected with the application of the DICOM standard. According to our experiences the problems can be explained as the misinterpretation of the complex, complicated and extensive standard. After some minor adjustments the exchange of study data between different systems, vendors, and even modalities was generally successful. Diagnostic tools for testing DICOM files coming from different modalities are a help to the adjustments. In the second part we present the automatic procedures built into SZOTE-PACS: automatic data-conversion, -edition (including existing RIS data and predefined study parameters), lossless image data compression, checking and transmission to the Archive.
1 aNagy, Antal1 aNyúl, László, Gábor1 aKuba, Attila1 aAlexin, Zoltán1 aAlmási, László1 aBartolozzi, Carlo1 aCaramella, Davide uhttps://www.inf.u-szeged.hu/publication/problems-and-solutions-one-year-experience-with-szote-pacs-001278nas a2200217 4500008004100000245005800041210005800099260001300157300001200170520059300182100001700775700002000792700001600812700002800828700002300856700001800879700002200897700002200919700002100941856009800962 1996 eng d00aDICOM Based PACS and Its Application in the Education0 aDICOM Based PACS and Its Application in the Education cOct 1996 a46 - 493 aSZOTE-PACS is a DICOM based PACS developed at the Universitiesof Szeged. It is able to collect studies from different modalities and convert them into DICOM format. The DICOM studies can be edited, modified by RIS data, then verified and transferred into the archiving server. There is a graphic application based on Oracle for searching and other database management functions of the Archive. The archived studies can be presented and/or processed on the viewing workstations. SZOTE- PACS also supports the creation and presentation of educational materials fror medical students.
1 aKuba, Attila1 aAlexin, Zoltán1 aNagy, Antal1 aNyúl, László, Gábor1 aPalágyi, Kálmán1 aNagy, Mariann1 aAlmási, László1 aCsernay, László1 aOrphanoudakis, S uhttps://www.inf.u-szeged.hu/publication/dicom-based-pacs-and-its-application-in-the-education01280nas a2200217 4500008004100000245005800041210005800099260001300157300001200170520059300182100001700775700002000792700001600812700002800828700002300856700001800879700002200897700002200919700002100941856010000962 1996 eng d00aDICOM Based PACS and Its Application in the Education0 aDICOM Based PACS and Its Application in the Education cOct 1996 a46 - 493 aSZOTE-PACS is a DICOM based PACS developed at the Universitiesof Szeged. It is able to collect studies from different modalities and convert them into DICOM format. The DICOM studies can be edited, modified by RIS data, then verified and transferred into the archiving server. There is a graphic application based on Oracle for searching and other database management functions of the Archive. The archived studies can be presented and/or processed on the viewing workstations. SZOTE- PACS also supports the creation and presentation of educational materials fror medical students.
1 aKuba, Attila1 aAlexin, Zoltán1 aNagy, Antal1 aNyúl, László, Gábor1 aPalágyi, Kálmán1 aNagy, Mariann1 aAlmási, László1 aCsernay, László1 aOrphanoudakis, S uhttps://www.inf.u-szeged.hu/publication/dicom-based-pacs-and-its-application-in-the-education-002698nas a2200145 4500008004100000245005700041210005500098260003000153300001400183520219900197100002802396700001602424700002102440856009102461 1996 eng d00aA DICOM szabvány megvalósítása és alkalmazásai0 aDICOM szabvány megvalósítása és alkalmazásai aBudapestbNJSZTcNov 1996 a177 - 1803 aA DICOM (Digital Imaging and COmmunication in Medicine) azorvosi vizsgálatok képeinek (CT, NM, MR, SPECT stb.) és egyéb adatainak tárolását és a számítógépes hálózaton keresztül történő átvitelét leíró új szabvány, amely ma már általánosan elfogadottá vált a gyártók és a felhasználók körében egyaránt. Ez a szabvány meghatározza a különféle információs objektumok (képek, vizsgálati és beteg adatok stb.) tárolási formátumát, az azokhoz kapcsolódó máveleteket (létrehozás, törlés stb.) és a hálózati kommunikáció módját is. Az új szabvány megalkotásának célja az volt, hogy egységes kapcsolódási lehetőséget biztosítson a különféle orvosi képalkotó berendezések számára. A DICOM szabványnak megfelelő modalitások és számítógépek a TCP/IP kommunikációs protokol szerint (pl. az Interneten keresztül) képesek vizsgálati adatokat továbbítani egymásnak. Több mint két éve folyó fejlesztési munkánk célja egy olyan DICOM programcsomag kifejlesztése volt, amely a szabvány elterjedéséhez nyújt segítséget. Így például szükség van olyan konverziós programokra, amelyek biztosítják a régi, elterjedt formátumban (interfile, ACR-NEMA) megadott vizsgálatok átalakítását egységesen DICOM formátumra. Hasonlóképpek fontos a DICOM formátumú objektumok beolvasása, módosítása, listázása és kiírása. Az alapvető feladatok elvégzésére készítettünk egy szubrutin gyűjteményt. Erre építve írtunk konverziós programokat, különböző segédprogramokat és felhasználó-barát, grafikus felülettel rendelkező szerkesztő programokat. Az összes komponenes működik PC-s és UNIX-os platformon egyaránt. A moduláris felépítésnek és a szabvány-leírások speciális tárolásának köszönhetően a programok könnyen igazíthatók lesznek a DICOM későbbi módosításaihoz, bővítéseihez. Az elvégzett tesztek azt mutatják, hogy az általunk előállított DICOM objektumok megfelelnek a szabványnak. Az eddig elkészült programok a fejlesztés alatt lévő SZOTE-PACS-ben és a MicroSegams rendszerben kerültek felhasználásra.
1 aNyúl, László, Gábor1 aNagy, Antal1 aKozmann, György uhttps://www.inf.u-szeged.hu/publication/a-dicom-szabvany-megvalositasa-es-alkalmazasai02610nas a2200241 4500008004100000245005700041210005700098260005200155300000900207520183900216100001702055700002202072700001402094700002002108700001602128700002802144700002202172700001502194700002202209700002402231700001602255856009702271 1996 eng d00aEducational PACS at the Medical University in Szeged0 aEducational PACS at the Medical University in Szeged aAmsterdambElsevier Science Publishersc1996/// a10273 aThis paper describes the Picture Archiving and CommunicationSystem (PACS) developed for the Medical University of Szeged. The main aims of the development were to provide a tool to collect studies from different format and to use the archived information in the education and in the clinical routine. The system is able to collect studies from CT, MR, NM, US, SPECT modalities, from X-film scanners and from any station communicating according to DICOM storage- query/retrieve service class. The data are automatically converted from Interfile 3.3, ACR-NEMA 2.0 or TIFF formats into DICOM 3.0 format and stored in the data-server of the system. The study headers can be edited by graphic editor programs. The PACS can collect information also from the Radiology Information System (RIS) of the Department. In order to have an effective database management the users may use Oracle to retrieve, present or modify data. The Oracle system stores the whole header information but does not contain the image data itself. The clients can reach the database using capabilities and it can be used to avoid unauthorized connections. Our DICOM server gives the studies to the processing stations (PC-s, UNIX workstations or X- terminals). Here the user can retrieve, process and present studies, furthermore, as a special aim, they can edit text and images into HTML format to create graduate and post-graduate educational material. Then this educational material can be stored also in the system/CD-ROMs and can be used in the training of medical students. Our PACS system is modular, flexible and based on a 4th generation functional programming language Tcl/Tk. This language has Oracle connection and graphical interfaces. In this way the same source code can be used by each client. 1 aKuba, Attila1 aCsernay, László1 aKardos, L1 aAlexin, Zoltán1 aNagy, Antal1 aNyúl, László, Gábor1 aAlmási, László1 aLemke, U H1 aInamura, Kiyonari1 aVannier, Michael, W1 aFarman, G A uhttps://www.inf.u-szeged.hu/publication/educational-pacs-at-the-medical-university-in-szeged01305nas a2200193 4500008004100000245008700041210007800128260003800206300001600244520059000260100001700850700002000867700001600887700002800903700002200931700002000953700002000973856011800993 1996 eng d00aKép-archiváló és továbbító rendszer szoftverének fejlesztése (SZOTE-PACS)0 aKéparchiváló és továbbító rendszer szoftverének fejlesztése SZOT aDebrecenbDebreceni Egyetemc1996 a1186 - 11923 aThe Picture Archiving and Communication System developed for theMedical University of Szeged (called SZOTE-PACS) is described. The main aim of the development was to provide a system that collects patient studies from different radiology imaging modalities (e.g., CT, MR, NM). SZOTE-PACS archives the studies in a standard format (DICOM 3.0) with Oracle database system and the user can retrieve them by an easy-to-use graphic interface. The images and other information stored in the database can be used to edit educational material for medical university students. 1 aKuba, Attila1 aAlexin, Zoltán1 aNagy, Antal1 aNyúl, László, Gábor1 aCsernay, László1 aBakonyi, Péter1 aHerdon, Miklós uhttps://www.inf.u-szeged.hu/publication/kep-archivalo-es-tovabbito-rendszer-szoftverenek-fejlesztese-szote-pacs-001306nas a2200193 4500008004100000245008700041210007800128260004100206300001600247520059000263100001700853700002000870700001600890700002800906700002200934700002000956700002000976856011600996 1996 eng d00aKép-archiváló és továbbító rendszer szoftverének fejlesztése (SZOTE-PACS)0 aKéparchiváló és továbbító rendszer szoftverének fejlesztése SZOT aDebrecenbDebreceni Egyetemc1996/// a1186 - 11923 aThe Picture Archiving and Communication System developed for theMedical University of Szeged (called SZOTE-PACS) is described. The main aim of the development was to provide a system that collects patient studies from different radiology imaging modalities (e.g., CT, MR, NM). SZOTE-PACS archives the studies in a standard format (DICOM 3.0) with Oracle database system and the user can retrieve them by an easy-to-use graphic interface. The images and other information stored in the database can be used to edit educational material for medical university students. 1 aKuba, Attila1 aAlexin, Zoltán1 aNagy, Antal1 aNyúl, László, Gábor1 aCsernay, László1 aBakonyi, Péter1 aHerdon, Miklós uhttps://www.inf.u-szeged.hu/publication/kep-archivalo-es-tovabbito-rendszer-szoftverenek-fejlesztese-szote-pacs00545nas a2200193 4500008004100000020001400041245003800055210003500093260000900128300001200137490000700149100002200156700001700178700002800195700001600223700002200239700001400261856007600275 1996 eng d a0025-028700aMicsoda és mire jó a DICOM-3.0?0 aMicsoda és mire jó a DICOM30 c1996 a67 - 720 v701 aCsernay, László1 aKuba, Attila1 aNyúl, László, Gábor1 aNagy, Antal1 aAlmási, László1 aKardos, L uhttps://www.inf.u-szeged.hu/publication/micsoda-es-mire-jo-a-dicom-30-000546nas a2200193 4500008004100000020001400041245003800055210003500093260001200128300001200140490000700152100002200159700001700181700002800198700001600226700002200242700001400264856007400278 1996 eng d a0025-028700aMicsoda és mire jó a DICOM-3.0?0 aMicsoda és mire jó a DICOM30 c1996/// a67 - 720 v701 aCsernay, László1 aKuba, Attila1 aNyúl, László, Gábor1 aNagy, Antal1 aAlmási, László1 aKardos, L uhttps://www.inf.u-szeged.hu/publication/micsoda-es-mire-jo-a-dicom-3002474nas a2200241 4500008004100000245014700041210007300188260003200261300001400293490009900307520145700406100002201863700001701885700002201902700001501924700001501939700001701954700001601971700002801987700002002015700002102035856017602056 1996 eng d00aOrvosi információs rendszerek a Szent-Györgyi Albert Orvostudományi Egyetemen: RIS, HIS és PACS. Információcsere a rendszerek között.0 aOrvosi információs rendszerek a SzentGyörgyi Albert Orvostudomán aBudapestbNJSZTc1996.11.14 a184 - 1860 vA számítástechnika orvosi és biológiai alkalmazásai: A XX. Neumann Kollokvium Kiadványa3 aRadiológiával kapcsolatos szöveges és képi információkatEgyetemünkön több autonóm információs rendszer kezel. Ilyen az egészségügyi szolgáltatásokkal összefüggő adminisztratív és klinikai információk szervezésére szolgáló kórházi információs rendszer (HIS), a radiológiai szolgáltatásokat kezelő információs rendszer (RIS) és a digitális képtovábbító, képtároló és visszakereső rendszer (PACS). A rendszerek közötti információcsere sarkalatos probléma. A RIS- ből információt kell átvenni a PCS-ba. A HIS rendeléseinek számítógépes kezelése szükségessé teszi a RIS-hez történő kapcsolat kialakítását. A RIS és a PACS között egy ut. SQL gateway biztosítja az információcserét. A gateway program figyeli a UNIX alapú képszerverről szövegfájlban jövő szabványos SQL kéréseket, továbbítja a RIS Novell szervere felé és a lekérdezés eredményét visszaküldi. A RIS és HIS közötti gateway program az AS400 és RIS szerver között tartja a kapcsolatot, az információcsere DBF fájlok segítségével folyik. Végleges megoldást csak a szabványosítás hozhat. Az általunk fejlesztett PACS már DICOM konform, dolgozunk a RIS DICOM konformmá tételén. Mivel a DICOm tartalmazza a képalkotó berendezések, a PACS és a HIS/RIS kapcsolatot leíró szabványt, alkalmazása lehetővé teszi a rendszerek közötti közvetlen információcserét.
1 aAlmási, László1 aSóti, Zsolt1 aCsernay, László1 aPavelka, Z1 aKelemen, A1 aKuba, Attila1 aNagy, Antal1 aNyúl, László, Gábor1 aAlexin, Zoltán1 aKozmann, György uhttps://www.inf.u-szeged.hu/publication/orvosi-informacios-rendszerek-a-szent-gyorgyi-albert-orvostudomanyi-egyetemen-ris-his-es-pacs-informaciocsere-a-rendszerek-kozott-002359nas a2200229 4500008004100000245014700041210007300188260003000261300001400291520145700305100002201762700001701784700002201801700001501823700001501838700001701853700001601870700002801886700002001914700002101934856017401955 1996 eng d00aOrvosi információs rendszerek a Szent-Györgyi Albert Orvostudományi Egyetemen: RIS, HIS és PACS. Információcsere a rendszerek között.0 aOrvosi információs rendszerek a SzentGyörgyi Albert Orvostudomán aBudapestbNJSZTcNov 1996 a184 - 1863 aRadiológiával kapcsolatos szöveges és képi információkatEgyetemünkön több autonóm információs rendszer kezel. Ilyen az egészségügyi szolgáltatásokkal összefüggő adminisztratív és klinikai információk szervezésére szolgáló kórházi információs rendszer (HIS), a radiológiai szolgáltatásokat kezelő információs rendszer (RIS) és a digitális képtovábbító, képtároló és visszakereső rendszer (PACS). A rendszerek közötti információcsere sarkalatos probléma. A RIS- ből információt kell átvenni a PCS-ba. A HIS rendeléseinek számítógépes kezelése szükségessé teszi a RIS-hez történő kapcsolat kialakítását. A RIS és a PACS között egy ut. SQL gateway biztosítja az információcserét. A gateway program figyeli a UNIX alapú képszerverről szövegfájlban jövő szabványos SQL kéréseket, továbbítja a RIS Novell szervere felé és a lekérdezés eredményét visszaküldi. A RIS és HIS közötti gateway program az AS400 és RIS szerver között tartja a kapcsolatot, az információcsere DBF fájlok segítségével folyik. Végleges megoldást csak a szabványosítás hozhat. Az általunk fejlesztett PACS már DICOM konform, dolgozunk a RIS DICOM konformmá tételén. Mivel a DICOm tartalmazza a képalkotó berendezések, a PACS és a HIS/RIS kapcsolatot leíró szabványt, alkalmazása lehetővé teszi a rendszerek közötti közvetlen információcserét.
1 aAlmási, László1 aSóti, Zsolt1 aCsernay, László1 aPavelka, Z1 aKelemen, A1 aKuba, Attila1 aNagy, Antal1 aNyúl, László, Gábor1 aAlexin, Zoltán1 aKozmann, György uhttps://www.inf.u-szeged.hu/publication/orvosi-informacios-rendszerek-a-szent-gyorgyi-albert-orvostudomanyi-egyetemen-ris-his-es-pacs-informaciocsere-a-rendszerek-kozott02773nas a2200217 4500008004100000245012100041210007200162260003100234300001400265520192700279100001702206700002002223700002802243700001602271700002302287700002802310700002202338700002202360700002102382856015202403 1996 eng d00aSZOTE-PACS: A Szent-Györgyi Albert Orvostudományi Egyetem képarchiváló és továbbító rendszerének szoftvere0 aSZOTEPACS A SzentGyörgyi Albert Orvostudományi Egyetem képarchiv aVeszprémbNJSZTcNov 1996 a173 - 1763 aA Szent-Györgyi Albert Orvostudományi Egyetem kép-archiváló és -továbbító rendszer (SZOTE-PACS) szoftverének a fejlesztését ismertetjük előadásunkban. A cél egy olyan számítógépes hálózat elkészítése, amely nemcsak a klinikai vizsgálatok képeinek tárolásával és átvitelével kapcsolatos feladatokat látja el, de támogatja az oktatási és konzultációs tevékenységéeket is. A SZOTE-PACS 3 részre bontható: képfelvevő, archiváló és megjelenítő állomásokra. A képfelvevő munkaállomásoknak kettős feladata van: egyrészt a különféle modalitásokon (CT, MR, NM, US és SPECT) vagy röntgenfilm-scanneren felvett, illetve a DICOM- szabványnak megfelelő állomásról beérkező vizsgálatok begyűjtése, másrészt az Interfile 3.3, ACR-NEMA 2.0 vagy TIFF formátumú vizsgálatok DICOM formátumra való automatikus konvertálása. A rendszer képes a Radiológiai Klinika Információs Rendszerében (RIS) levő információk átvételére és beépítésére is. Az így előkészített vizsgálatok átküldhetők a központi szerverre, ahol azok az archívumban automatiksan tárolódnak. A jelenlegi diszk kapacitás mellett 15 napig őrizzük a vizsgálatokat. A tervek szerint 15 nap után csak a képeket töröljük a szerverről, a vizsgálat egyéb (nem képi) adatai továbbra is megőrzésre kerülnek. Az archívumban Oracle adatbázis kezeéő rendszer segíti a visszakeresést, a mejelenítést és a módosítást. A feldolgozó munkaállomásokra (PC-k, UNOX-állomások vagy X-terminálok) kérheti le a felhasználó a szerveren tárolt vizsgálatokat. Itt jeleníthetők meg illetve dolgozhatók fel a vizsgálatok képei. Az orvostanhallgatók és doktoranduszok képzésére HTML-ben írt oktatási anyagok állíthatók össze a tárolt szöveges és képi adatokból. Az oktatási anyagokat a rendszer külön adatbázisban tárolja.
1 aKuba, Attila1 aAlexin, Zoltán1 aNyúl, László, Gábor1 aNagy, Antal1 aPalágyi, Kálmán1 aDudásné Nagy, Mariann1 aCsernay, László1 aAlmási, László1 aKozmann, György uhttps://www.inf.u-szeged.hu/publication/szote-pacs-a-szent-gyorgyi-albert-orvostudomanyi-egyetem-keparchivalo-es-tovabbito-rendszerenek-szoftvere-002771nas a2200217 4500008004100000245012100041210007200162260003100234300001400265520192700279100001702206700002002223700002802243700001602271700002302287700002802310700002202338700002202360700002102382856015002403 1996 eng d00aSZOTE-PACS: A Szent-Györgyi Albert Orvostudományi Egyetem képarchiváló és továbbító rendszerének szoftvere0 aSZOTEPACS A SzentGyörgyi Albert Orvostudományi Egyetem képarchiv aVeszprémbNJSZTcNov 1996 a173 - 1763 aA Szent-Györgyi Albert Orvostudományi Egyetem kép-archiváló és -továbbító rendszer (SZOTE-PACS) szoftverének a fejlesztését ismertetjük előadásunkban. A cél egy olyan számítógépes hálózat elkészítése, amely nemcsak a klinikai vizsgálatok képeinek tárolásával és átvitelével kapcsolatos feladatokat látja el, de támogatja az oktatási és konzultációs tevékenységéeket is. A SZOTE-PACS 3 részre bontható: képfelvevő, archiváló és megjelenítő állomásokra. A képfelvevő munkaállomásoknak kettős feladata van: egyrészt a különféle modalitásokon (CT, MR, NM, US és SPECT) vagy röntgenfilm-scanneren felvett, illetve a DICOM- szabványnak megfelelő állomásról beérkező vizsgálatok begyűjtése, másrészt az Interfile 3.3, ACR-NEMA 2.0 vagy TIFF formátumú vizsgálatok DICOM formátumra való automatikus konvertálása. A rendszer képes a Radiológiai Klinika Információs Rendszerében (RIS) levő információk átvételére és beépítésére is. Az így előkészített vizsgálatok átküldhetők a központi szerverre, ahol azok az archívumban automatiksan tárolódnak. A jelenlegi diszk kapacitás mellett 15 napig őrizzük a vizsgálatokat. A tervek szerint 15 nap után csak a képeket töröljük a szerverről, a vizsgálat egyéb (nem képi) adatai továbbra is megőrzésre kerülnek. Az archívumban Oracle adatbázis kezeéő rendszer segíti a visszakeresést, a mejelenítést és a módosítást. A feldolgozó munkaállomásokra (PC-k, UNOX-állomások vagy X-terminálok) kérheti le a felhasználó a szerveren tárolt vizsgálatokat. Itt jeleníthetők meg illetve dolgozhatók fel a vizsgálatok képei. Az orvostanhallgatók és doktoranduszok képzésére HTML-ben írt oktatási anyagok állíthatók össze a tárolt szöveges és képi adatokból. Az oktatási anyagokat a rendszer külön adatbázisban tárolja.
1 aKuba, Attila1 aAlexin, Zoltán1 aNyúl, László, Gábor1 aNagy, Antal1 aPalágyi, Kálmán1 aDudásné Nagy, Mariann1 aCsernay, László1 aAlmási, László1 aKozmann, György uhttps://www.inf.u-szeged.hu/publication/szote-pacs-a-szent-gyorgyi-albert-orvostudomanyi-egyetem-keparchivalo-es-tovabbito-rendszerenek-szoftvere01510nas a2200205 4500008004100000245006500041210006300106260004100169300001400210520081800224100001701042700002001059700002301079700001601102700002801118700001901146700002001165700002001185856009901205 1996 eng d00aA többdimenziós képfeldolgozás programjai és oktatásuk0 atöbbdimenziós képfeldolgozás programjai és oktatásuk aDebrecenbDebreceni Egyetemc1996/// a649 - 6563 aNowdays, the multidimensional (i.e. higher than 2-dimensional)image processing has been a strongly developing area. One of its most important application areas is the medicine, where numerous diagnostic imaging devices (e.g., CT, MR, SPECT etc.) are able to produce 3- or even higher dimensional images. We have studied the possibility of introduction of multidimensional image processing into the subjects of Image Processing at József Attila University. First, we considered the methods of generation of such images, then the different standards accepted in the medical applications. From the processing algorithms we have dealt with the 3D skeletons, binary operations, reconstruction and registration. These topics are discussed in the education of graduated and PhD students as well. 1 aKuba, Attila1 aFazekas, Attila1 aPalágyi, Kálmán1 aNagy, Antal1 aNyúl, László, Gábor1 aPethő, Attila1 aBakonyi, Péter1 aHerdon, Miklós uhttps://www.inf.u-szeged.hu/publication/a-tobbdimenzios-kepfeldolgozas-programjai-es-oktatasuk01509nas a2200205 4500008004100000245006500041210006300106260003800169300001400207520081800221100001701039700002001056700002301076700001601099700002801115700001901143700002001162700002001182856010101202 1996 eng d00aA többdimenziós képfeldolgozás programjai és oktatásuk0 atöbbdimenziós képfeldolgozás programjai és oktatásuk aDebrecenbDebreceni Egyetemc1996 a649 - 6563 aNowdays, the multidimensional (i.e. higher than 2-dimensional)image processing has been a strongly developing area. One of its most important application areas is the medicine, where numerous diagnostic imaging devices (e.g., CT, MR, SPECT etc.) are able to produce 3- or even higher dimensional images. We have studied the possibility of introduction of multidimensional image processing into the subjects of Image Processing at József Attila University. First, we considered the methods of generation of such images, then the different standards accepted in the medical applications. From the processing algorithms we have dealt with the 3D skeletons, binary operations, reconstruction and registration. These topics are discussed in the education of graduated and PhD students as well. 1 aKuba, Attila1 aFazekas, Attila1 aPalágyi, Kálmán1 aNagy, Antal1 aNyúl, László, Gábor1 aPethő, Attila1 aBakonyi, Péter1 aHerdon, Miklós uhttps://www.inf.u-szeged.hu/publication/a-tobbdimenzios-kepfeldolgozas-programjai-es-oktatasuk-000451nas a2200133 4500008004100000245005300041210005100094260000900145300001000154100002000164700001600184700002800200856008900228 1995 eng d00aKépfeldolgozó oktatási segédprogram (PicKit)0 aKépfeldolgozó oktatási segédprogram PicKit c1995 a - 461 aMolnár, Péter1 aNagy, Antal1 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/kepfeldolgozo-oktatasi-segedprogram-pickit-200454nas a2200133 4500008004100000245005300041210005100094260001200145300001000157100002000167700001600187700002800203856008900231 1995 eng d00aKépfeldolgozó oktatási segédprogram (PicKit)0 aKépfeldolgozó oktatási segédprogram PicKit c1995/// a - 461 aMolnár, Péter1 aNagy, Antal1 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/kepfeldolgozo-oktatasi-segedprogram-pickit-001885nas a2200193 4500008004100000245003600041210003600077260003400113300000700147520132200154100001701476700002301493700002801516700001601544700002201560700001601582700001501598856007801613 1995 eng d00aPresentation of 3D SPECT images0 aPresentation of 3D SPECT images aSmolenice, SlovakiacMay 1995 a823 aThe problem of presentation of 3D SPECT (Single-Photon EmissionComputed Tomography) images are considered. Instead of the classical 2D image presentation methods (displaying the slices) the following methods are studied: presentation of sections with a 3D reference image, generation of 3D phase and amplitude images (for gated heart studies), surface rendering and volume rendering by 3DVIEWNIX (MIGP, Univ. Pennsylvania) software. The projections are collected by a single-head SPECT system. After preprocessing (centre-of-rotation, uniformity correction) and reconstruction of the transversal sections absorption- correction and special 3D processing can be done. There are clinical programs for the different kinds of studies (e.g. brain SPECT, heart SPECT). The processed section images are stored and converted into Interfile 3.3 format. The first two presentation methods are available on our SPECT system. In order to use the 3DVIEWNIX software the file of the reconstructed sections is converted into a generalized ACR-NEMA format and transferred into our university network. The 3DVIEWNIX system runs on UNIX machines. It is suitable to visualize, manipulate and analyse multidimensional image data like SPECT. The results of the surface and volume rendering of brain and heart studies are presented.
1 aKuba, Attila1 aPalágyi, Kálmán1 aNyúl, László, Gábor1 aNagy, Antal1 aCsernay, László1 aBajla, Ivan1 aKarovic, K uhttps://www.inf.u-szeged.hu/publication/presentation-of-3d-spect-images-001883nas a2200193 4500008004100000245003600041210003600077260003400113300000700147520132200154100001701476700002301493700002801516700001601544700002201560700001601582700001501598856007601613 1995 eng d00aPresentation of 3D SPECT images0 aPresentation of 3D SPECT images aSmolenice, SlovakiacMay 1995 a823 aThe problem of presentation of 3D SPECT (Single-Photon EmissionComputed Tomography) images are considered. Instead of the classical 2D image presentation methods (displaying the slices) the following methods are studied: presentation of sections with a 3D reference image, generation of 3D phase and amplitude images (for gated heart studies), surface rendering and volume rendering by 3DVIEWNIX (MIGP, Univ. Pennsylvania) software. The projections are collected by a single-head SPECT system. After preprocessing (centre-of-rotation, uniformity correction) and reconstruction of the transversal sections absorption- correction and special 3D processing can be done. There are clinical programs for the different kinds of studies (e.g. brain SPECT, heart SPECT). The processed section images are stored and converted into Interfile 3.3 format. The first two presentation methods are available on our SPECT system. In order to use the 3DVIEWNIX software the file of the reconstructed sections is converted into a generalized ACR-NEMA format and transferred into our university network. The 3DVIEWNIX system runs on UNIX machines. It is suitable to visualize, manipulate and analyse multidimensional image data like SPECT. The results of the surface and volume rendering of brain and heart studies are presented.
1 aKuba, Attila1 aPalágyi, Kálmán1 aNyúl, László, Gábor1 aNagy, Antal1 aCsernay, László1 aBajla, Ivan1 aKarovic, K uhttps://www.inf.u-szeged.hu/publication/presentation-of-3d-spect-images01852nas a2200145 4500008004100000245005700041210005300098260002000151520136300171100002801534700001601562700001701578700002201595856008901617 1995 eng d00aA SZOTE kép-archiváló és -továbbító rendszere0 aSZOTE képarchiváló és továbbító rendszere aEgercJune 19953 aA Szent-Györgyi Albert Orvostudományi Egyetem és a József AttilaTudományegyetem közös FEFA pályázatot nyert 1994-95-ben az Orvosegyetem oktatási célú kép-archiváló és -továbbító rendszerének (Picture Archiving and Communication System - PACS) és radiológiai információs rendszerének (Radiological Information System - RIS) a kialakítására. A rendszer hardware alapjait a már kialakított egyetemi számítógépes hálózat és a beszerzett illetve még beszerzés alatt álló komponensek (hálózati elemek, munkaállomások, scannerek, képmegjelenítők) biztosítják. Software terveink a következő részekből állnak: a) a különféle modalitásokról (pl. SPECT, CT, NM, MRI, ultrahang, scanner) származó vizsgálatokat begyűjtő és egységesen DICOM szabványú formátumra konvertáló alrendszer b) a vizsgálatokat a hálózaton keresztül az archívumba továbbító alrendszer c) a központi számítógépen működő archiválási alrendszer d) az archívumban tárolt vizsgálatokból oktatási anyagokat készítő (szerkesztő, válogató) és bemutató alrendszer e) és végül a rendszer üzemeltetését segítő karbantartási alrendszer. Előadásunkban ismertetjük a komplex rendszer software tervét, eddig elkészült részeit és az üzemeltetés során eddig szerzett tapasztalatokat.
1 aNyúl, László, Gábor1 aNagy, Antal1 aKuba, Attila1 aCsernay, László uhttps://www.inf.u-szeged.hu/publication/a-szote-kep-archivalo-es-tovabbito-rendszere01854nas a2200145 4500008004100000245005700041210005300098260002000151520136300171100002801534700001601562700001701578700002201595856009101617 1995 eng d00aA SZOTE kép-archiváló és -továbbító rendszere0 aSZOTE képarchiváló és továbbító rendszere aEgercJune 19953 aA Szent-Györgyi Albert Orvostudományi Egyetem és a József AttilaTudományegyetem közös FEFA pályázatot nyert 1994-95-ben az Orvosegyetem oktatási célú kép-archiváló és -továbbító rendszerének (Picture Archiving and Communication System - PACS) és radiológiai információs rendszerének (Radiological Information System - RIS) a kialakítására. A rendszer hardware alapjait a már kialakított egyetemi számítógépes hálózat és a beszerzett illetve még beszerzés alatt álló komponensek (hálózati elemek, munkaállomások, scannerek, képmegjelenítők) biztosítják. Software terveink a következő részekből állnak: a) a különféle modalitásokról (pl. SPECT, CT, NM, MRI, ultrahang, scanner) származó vizsgálatokat begyűjtő és egységesen DICOM szabványú formátumra konvertáló alrendszer b) a vizsgálatokat a hálózaton keresztül az archívumba továbbító alrendszer c) a központi számítógépen működő archiválási alrendszer d) az archívumban tárolt vizsgálatokból oktatási anyagokat készítő (szerkesztő, válogató) és bemutató alrendszer e) és végül a rendszer üzemeltetését segítő karbantartási alrendszer. Előadásunkban ismertetjük a komplex rendszer software tervét, eddig elkészült részeit és az üzemeltetés során eddig szerzett tapasztalatokat.
1 aNyúl, László, Gábor1 aNagy, Antal1 aKuba, Attila1 aCsernay, László uhttps://www.inf.u-szeged.hu/publication/a-szote-kep-archivalo-es-tovabbito-rendszere-000451nas a2200133 4500008004100000245005300041210005100094260000900145300001000154100002000164700001600184700002800200856008900228 1994 eng d00aKépfeldolgozó oktatási segédprogram (PicKit)0 aKépfeldolgozó oktatási segédprogram PicKit c1994 a - 361 aMolnár, Péter1 aNagy, Antal1 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/kepfeldolgozo-oktatasi-segedprogram-pickit-300454nas a2200133 4500008004100000245005300041210005100094260001200145300001000157100002000167700001600187700002800203856008900231 1994 eng d00aKépfeldolgozó oktatási segédprogram (PicKit)0 aKépfeldolgozó oktatási segédprogram PicKit c1994/// a - 361 aMolnár, Péter1 aNagy, Antal1 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/kepfeldolgozo-oktatasi-segedprogram-pickit-100392nas a2200109 4500008004100000245005300041210005100094260001200145300001000157100002800167856008700195 1994 eng d00aKépfeldolgozó oktatási segédprogram (PicKit)0 aKépfeldolgozó oktatási segédprogram PicKit c1994/// a - 611 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/kepfeldolgozo-oktatasi-segedprogram-pickit01558nas a2200181 4500008004100000245005600041210005600097260002700153300001400180520096900194100002801163700001601191700002301207700002001230700001701250700002001267856008901287 1994 eng d00aSzabványos képformák orvosi képek tárolására0 aSzabványos képformák orvosi képek tárolására aSzegedbSZOTEc1994/// a112 - 1163 aAz orvosi képalkotó berendezések fejlődésével elengedhetetlennévált a szabványos orvosi képformátumok kialakítása. A különféle eszközökön készült felvételek feldolgozását, összehasonlítását és hálózatban való továbbítását megnehezítette, hogy a gyártók a képeket csak egyéni, többé-kevésbé publikált formátumban tárolták. Ezen a helyzeten kívánnak változtatni különféle szervezetek olyan szabványok bevezetésével, amelyek speciálisan orvosi képek esetében lehetnek hasznosak. A szabványosítási törekvések eredményeként mára három nagy irányzat alakult ki: ACR-NEMA, DICOM és Interfile. Előadásunkban vázoljuk az orvosi képek tárolási formátumainál érvényesülő specifikus szempontokat, röviden ismertetjük az említett szabványokat és bemutatjuk az általunk eddig készített, a különféle formátumok közötti konverziót biztosító programokat. 1 aNyúl, László, Gábor1 aNagy, Antal1 aPalágyi, Kálmán1 aTolnai, József1 aKuba, Attila1 aHantos, Zoltán uhttps://www.inf.u-szeged.hu/publication/szabvanyos-kepformak-orvosi-kepek-tarolasara01557nas a2200181 4500008004100000245005600041210005600097260002400153300001400177520096900191100002801160700001601188700002301204700002001227700001701247700002001264856009101284 1994 eng d00aSzabványos képformák orvosi képek tárolására0 aSzabványos képformák orvosi képek tárolására aSzegedbSZOTEc1994 a112 - 1163 aAz orvosi képalkotó berendezések fejlődésével elengedhetetlennévált a szabványos orvosi képformátumok kialakítása. A különféle eszközökön készült felvételek feldolgozását, összehasonlítását és hálózatban való továbbítását megnehezítette, hogy a gyártók a képeket csak egyéni, többé-kevésbé publikált formátumban tárolták. Ezen a helyzeten kívánnak változtatni különféle szervezetek olyan szabványok bevezetésével, amelyek speciálisan orvosi képek esetében lehetnek hasznosak. A szabványosítási törekvések eredményeként mára három nagy irányzat alakult ki: ACR-NEMA, DICOM és Interfile. Előadásunkban vázoljuk az orvosi képek tárolási formátumainál érvényesülő specifikus szempontokat, röviden ismertetjük az említett szabványokat és bemutatjuk az általunk eddig készített, a különféle formátumok közötti konverziót biztosító programokat. 1 aNyúl, László, Gábor1 aNagy, Antal1 aPalágyi, Kálmán1 aTolnai, József1 aKuba, Attila1 aHantos, Zoltán uhttps://www.inf.u-szeged.hu/publication/szabvanyos-kepformak-orvosi-kepek-tarolasara-000508nas a2200109 4500008004100000245009900041210008200140260001200222300001000234100002800244856012600272 1992 eng d00aKülönböző tipusú számítógépes karakterkészletek összehasonlítása és konverziója0 aKülönböző tipusú számítógépes karakterkészletek összehasonlítása c1992/// a - 391 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/kulonbozo-tipusu-szamitogepes-karakterkeszletek-osszehasonlitasa-es-konverzioja-000506nas a2200109 4500008004100000245009900041210008200140260001200222300001000234100002800244856012400272 1992 eng d00aKülönböző tipusú számítógépes karakterkészletek összehasonlítása és konverziója0 aKülönböző tipusú számítógépes karakterkészletek összehasonlítása c1992/// a - 471 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/kulonbozo-tipusu-szamitogepes-karakterkeszletek-osszehasonlitasa-es-konverzioja