@conference {2099, title = {QR k{\'o}d lokaliz{\'a}ci{\'o} kaszk{\'a}dolt gyenge oszt{\'a}lyoz{\'o}k haszn{\'a}lat{\'a}val}, booktitle = {K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k T{\'a}rsas{\'a}g{\'a}nak 10. orsz{\'a}gos konferenci{\'a}ja}, year = {2015}, month = {Jan 2015}, pages = {712-721}, type = {Conference paper}, address = {Kecskem{\'e}t, Magyarorsz{\'a}g}, author = {P{\'e}ter Bodn{\'a}r and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l} } @conference {2098, title = {Vizu{\'a}lis k{\'o}dok lokaliz{\'a}ci{\'o}ja m{\'e}ly egyenir{\'a}ny{\'\i}tott neur{\'a}lis h{\'a}l{\'o} haszn{\'a}lat{\'a}val}, booktitle = {K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k T{\'a}rsas{\'a}g{\'a}nak 10. orsz{\'a}gos konferenci{\'a}ja.}, year = {2015}, month = {Jan 2015}, pages = {546-561}, type = {Conference paper}, address = {Kecskem{\'e}t, Magyarorsz{\'a}g}, author = {P{\'e}ter Bodn{\'a}r and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Tam{\'a}s Gr{\'o}sz and L{\'a}szl{\'o} T{\'o}th} } @conference {2096, title = {Vonalk{\'o}dok {\'e}s term{\'e}szetes vizu{\'a}lis azonos{\'\i}t{\'o}k felismer{\'e}se val{\'o}s id{\H o}ben}, booktitle = {K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k T{\'a}rsas{\'a}g{\'a}nak 10. orsz{\'a}gos konferenci{\'a}ja}, year = {2015}, month = {Jan 2015}, pages = {562-577}, type = {Conference paper}, address = {Kecskem{\'e}t, Magyarorsz{\'a}g}, author = {Melinda Katona and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l} } @article {1992, title = {Automatikus azonos{\'\i}t{\'a}s {\'e}s hiteles{\'\i}t{\'e}s vizu{\'a}lis k{\'o}dokkal}, journal = {HIRAD{\'A}STECHNIKA}, volume = {69}, year = {2014}, pages = {40-47}, type = {Journal Article}, author = {Melinda Katona and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l} } @article {1096, title = {Fast recognition of natural feature identifiers by a mobile phone}, year = {2014}, month = {June 2014}, pages = {26}, publisher = {Institute of Informatics, University of Szeged}, type = {Abstract}, address = {Szeged}, author = {Melinda Katona and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l} } @inbook {1990, title = {K{\'e}pfeldolgoz{\'a}s a szegedi informatikus-k{\'e}pz{\'e}sben}, booktitle = {Informatika a fels{\H o}oktat{\'a}sban 2014}, year = {2014}, month = {2014}, pages = {667-675}, publisher = {University of Debrecen}, organization = {University of Debrecen}, type = {Conference paper}, address = {Debrecen, Hungary}, issn = {978-963-473-712-4}, author = {P{\'e}ter Bal{\'a}zs and Endre Katona and Zoltan Kato and Antal Nagy and G{\'a}bor N{\'e}meth and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and K{\'a}lm{\'a}n Pal{\'a}gyi and Attila Tanacs and L{\'a}szl{\'o} G{\'a}bor Varga}, editor = {Roland Kunkli and Ildik{\'o} Papp and Ed{\'e}n{\'e} Rutkovszky} } @article {1170, title = {Local and global uncertainty in binary tomographic reconstruction}, journal = {COMPUTER VISION AND IMAGE UNDERSTANDING}, year = {2014}, note = {Art. No.: S1077-3142(14)00117-9doi: 10.1016/j.cviu.2014.05.006Article in Press}, month = {2014}, type = {Journal article}, abstract = {

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.

}, isbn = {1077-3142}, doi = {10.1016/j.cviu.2014.05.006}, author = {L{\'a}szl{\'o} G{\'a}bor Varga and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Antal Nagy and P{\'e}ter Bal{\'a}zs} } @inbook {1099, title = {Localization of Visual Codes in the DCT Domain Using Deep Rectier Neural Networks}, booktitle = {International Conference on Informatics in Control, Automation and Robotics (ICINCO)}, year = {2014}, note = {Art. No.: 6K{\"o}zl{\'e}sre elfogadva}, month = {2014}, publisher = {SCITEPRESS}, organization = {SCITEPRESS}, type = {Conference paper}, address = {Set{\'u}bal}, author = {P{\'e}ter Bodn{\'a}r and Tam{\'a}s Gr{\'o}sz and L{\'a}szl{\'o} T{\'o}th and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l}, editor = {Joaquim Filipe and Oleg Gusikhin and Kurosh Madani and Jurek Sasiadek} } @inbook {1993, title = {Orvosi k{\'e}pfeldolgoz{\'a}s az SZTE K{\'e}pfeldolgoz{\'a}s {\'e}s Sz{\'a}m{\'\i}t{\'o}g{\'e}pes Grafika Tansz{\'e}ken}, booktitle = {Orvosi Informatika 2014: A XXVII. Neumann Kollokvium konferencia-kiadv{\'a}nya}, year = {2014}, pages = {119-122}, publisher = {Pannon Egyetem, Veszpr{\'e}m }, organization = {Pannon Egyetem, Veszpr{\'e}m }, address = {Szeged, Hungary}, isbn = {978-963-396-040-0}, author = {L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l} } @article {1095, title = {QR Code Localization Using Boosted Cascade of Weak Classifiers}, year = {2014}, month = {June 2014}, pages = {6 - 7}, publisher = {Institute of Informatics, University of Szeged}, type = {Abstract}, address = {Szeged}, author = {P{\'e}ter Bodn{\'a}r and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l} } @inbook {1097, title = {QR Code Localization Using Boosted Cascade of Weak Classifiers}, booktitle = {Image Analysis and Recognition (ICIAR)}, series = {Lecture Notes In Computer Science}, number = {8814}, year = {2014}, note = {Art. No.: 225Accepted for publication}, month = {Oct 2014}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, type = {Conference paper}, address = {Vilamura, Portugal}, abstract = {

Usage 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.

}, author = {P{\'e}ter Bodn{\'a}r and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l}, editor = {Mohamed Kamel and Aur{\'e}lio Campilho} } @inbook {1098, title = {QR code localization using deep neural networks}, booktitle = {International Workshop on Machine Learning for Signal Processing}, year = {2014}, note = {Art. No.: 43Accepted for publication$\#$K{\"o}nyv Kiad{\'a}s helye ismeretlen }, month = {Sep 2014}, publisher = {IEEE}, organization = {IEEE}, type = {Conference paper}, address = {Sep 2014, Reims, France}, author = {Tam{\'a}s Gr{\'o}sz and P{\'e}ter Bodn{\'a}r and L{\'a}szl{\'o} T{\'o}th and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l}, editor = {Mboup Mamadou and Adali T{\"u}lay and Eric Moreau and Jan Larsen and Kevin Guelton} } @inbook {1991, title = {Wlab of University of Szeged at ImageCLEF 2014 Plant Identification Task}, booktitle = {CLEF2014 Working Notes: Working Notes for CLEF 2014 Conference}, volume = {1180}, year = {2014}, month = {Sep}, pages = {685-692}, publisher = {CEUR-WS}, organization = {CEUR-WS}, type = {Conference paper}, address = {Sheffield, UK}, author = {Andr{\'a}s B{\'a}nhalmi and D{\'e}nes Paczolay and Vilmos Bilicki and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and {\'A}rp{\'a}d S{\'a}rosi}, editor = {Linda Cappellato and Nicola Ferro and Martin Halvey and Wessel Kraai} } @article {1080, title = {Barcode detection using local analysis, mathematical morphology, and clustering}, journal = {ACTA CYBERNETICA-SZEGED}, volume = {21}, year = {2013}, month = {2013}, pages = {21 - 35}, type = {Journal article}, abstract = {

Barcode 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.

}, isbn = {0324-721X}, author = {P{\'e}ter Bodn{\'a}r and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l} } @conference {1065, title = {Barcode detection with uniform partitioning and distance transformation}, booktitle = {IASTED International Conference on Computer Graphics and Imaging (CGIM)}, year = {2013}, note = {doi: 10.2316/P.2013.797-022}, month = {Feb 2013}, pages = {48 - 53}, publisher = {IASTED - Acta Press}, organization = {IASTED - Acta Press}, type = {Conference paper}, address = {Innsbruck, Austria}, abstract = {

Barcode 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.

}, doi = {10.2316/P.2013.797-022}, url = {http://www.actapress.com/PaperInfo.aspx?paperId=454988}, author = {P{\'e}ter Bodn{\'a}r and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l}, editor = {L Linsen} } @inbook {1163, title = {Directional Convexity Measure for Binary Tomography}, booktitle = {Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications}, year = {2013}, note = {ScopusID: 84893169866doi: 10.1007/978-3-642-41827-3_2}, month = {2013}, pages = {9 - 16}, publisher = {Springer Verlag}, organization = {Springer Verlag}, type = {Conference paper}, address = {Berlin; Heidelberg}, abstract = {

There 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.

}, doi = {10.1007/978-3-642-41827-3_2}, url = {http://link.springer.com/chapter/10.1007\%2F978-3-642-41827-3_2}, author = {Tam{\'a}s S{\'a}muel Tasi and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and P{\'e}ter Bal{\'a}zs}, editor = {Gabriella Sanniti di Baja and Jose Ruiz-Shulcloper} } @inbook {1079, title = {Efficient 1D and 2D barcode detection using mathematical morphology}, booktitle = {Mathematical Morphology and Its Applications to Signal and Image Processing}, year = {2013}, note = {doi: 10.1007/978-3-642-38294-9_39}, month = {May 2013}, pages = {464 - 475}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, type = {Conference paper}, address = {Berlin; Heidelberg}, abstract = {

Barcode 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.

}, author = {Melinda Katona and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l}, editor = {Chris L Luengo and Gunilla Borgefors and Robin Strand} } @conference {1067, title = {Improved 1D and 2D barcode detection with morphological operations}, booktitle = {A K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k T{\'a}rsas{\'a}g{\'a}nak konferenci{\'a}ja - K{\'E}PAF 2013}, year = {2013}, month = {Jan 2013}, pages = {309 - 324}, publisher = {NJSZT-K{\'E}PAF}, organization = {NJSZT-K{\'E}PAF}, type = {Conference paper}, address = {Veszpr{\'e}m}, author = {Melinda Katona and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l}, editor = {L{\'a}szl{\'o} Cz{\'u}ni} } @inbook {1151, title = {Local uncertainty in binary tomographic reconstruction}, booktitle = {Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA 2013)}, year = {2013}, note = {ScopusID: 84876584488doi: 10.2316/P.2013.798-067}, month = {Feb 2013}, pages = {490 - 496}, publisher = {IASTED - Acta Press}, organization = {IASTED - Acta Press}, type = {Conference paper}, address = {Calgary}, abstract = {

We 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.

}, doi = {10.2316/P.2013.798-067}, author = {L{\'a}szl{\'o} G{\'a}bor Varga and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Antal Nagy and P{\'e}ter Bal{\'a}zs}, editor = {Martin Kampel} } @inbook {1081, title = {A Novel Method for Barcode Localization in Image Domain}, booktitle = {Image Analysis and Recognition (ICIAR) }, series = {Lecture Notes in Computer Science}, year = {2013}, note = {doi: 10.1007/978-3-642-39094-4_22}, month = {June 2013}, pages = {189 - 196}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, type = {Conference paper}, address = {Berlin}, abstract = {

Barcode 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.

}, doi = {10.1007/978-3-642-39094-4_22}, author = {P{\'e}ter Bodn{\'a}r and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l}, editor = {Mohamed Kamel and Aur{\'e}lio Campilho} } @conference {1068, title = {Vizu{\'a}lis k{\'o}dok lokaliz{\'a}l{\'a}s{\'a}nak jav{\'\i}t{\'a}sa egyszer{\H u} jellemz{\H o}k kombin{\'a}ci{\'o}j{\'a}val}, booktitle = {A K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k T{\'a}rsas{\'a}g{\'a}nak konferenci{\'a}ja - K{\'E}PAF 2013}, year = {2013}, month = {Jan 2013}, pages = {483 - 495}, publisher = {NJSZT-K{\'E}PAF}, organization = {NJSZT-K{\'E}PAF}, type = {Conference paper}, address = {Veszpr{\'e}m}, author = {P{\'e}ter Bodn{\'a}r and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l}, editor = {L{\'a}szl{\'o} Cz{\'u}ni} } @conference {1061, title = {Barcode Detection with Morphological Operations and Clustering}, booktitle = {Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition, and Applications (SPPRA)}, year = {2012}, note = {ScopusID: 84864778306doi: 10.2316/P.2012.778-014}, month = {June 2012}, pages = {51 - 57}, publisher = {IASTED - Acta Press}, organization = {IASTED - Acta Press}, type = {Conference paper}, address = {Crete, Greek}, abstract = {

Barcode 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.

}, doi = {10.2316/P.2012.778-014} } @article {1062, title = {Barcode Detection with Uniform Partitioning and Morphological Operations}, year = {2012}, month = {June 2012}, pages = {4 - 5}, publisher = {University of Szeged, Institute of Informatics}, type = {Abstract}, address = {Szeged}, author = {P{\'e}ter Bodn{\'a}r and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l} } @conference {1063, title = {Improving barcode detection with combination of simple detectors}, booktitle = {Proceedings of the International Conference on Signal Image Technology \& Internet Systems (SITIS)}, year = {2012}, note = {ScopusID: 84874080233doi: 10.1109/SITIS.2012.52}, month = {Nov 2012}, pages = {300 - 306}, publisher = {IEEE}, organization = {IEEE}, type = {Conference paper}, address = {Naples, Italy}, abstract = {

Barcode 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.

}, doi = {10.1109/SITIS.2012.52}, author = {P{\'e}ter Bodn{\'a}r and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l}, editor = {Kokou Yetongnon and Richard Chbeir and Albert Dipanda and Luigi Gallo} } @conference {1064, title = {A novel method for accurate and efficient barcode detection with morphological operations}, booktitle = {Proceedings of the International Conference on Signal Image Technology \& Internet Systems (SITIS)}, year = {2012}, note = {ScopusID: 84874042343doi: 10.1109/SITIS.2012.53}, month = {Nov 2012}, pages = {307 - 314}, publisher = {IEEE}, organization = {IEEE}, type = {Conference paper}, address = {Naples, Italy}, abstract = {

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.

}, isbn = {978-1-4673-5152-2 }, doi = {10.1109/SITIS.2012.53 }, author = {Melinda Katona and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l}, editor = {Kokou Yetongnon and Richard Chbeir and Albert Dipanda and Luigi Gallo} } @proceedings {1060, title = {MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis}, volume = {8002}, year = {2011}, note = {doi: 10.1117/12.910237}, month = {2011}, publisher = {SPIE}, type = {Conference proceedings}, address = {Guilin, China}, editor = {Zhigou Cao and Aaron Fenster and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Chao Cai} } @article {1053, title = {Glaucoma Risk Index: Automated glaucoma detection from color fundus images}, journal = {MEDICAL IMAGE ANALYSIS}, volume = {14}, year = {2010}, note = {UT: 000278255900016ScopusID: 77951645182doi: 10.1016/j.media.2009.12.006}, month = {2010}, pages = {471 - 481}, type = {Journal article}, abstract = {

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.

}, isbn = {1361-8415}, author = {Rudriger Bock and J{\"o}rg Meier and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Joachim Hornegger and Georg Michelson} } @mastersthesis {1059, title = {Image analysis methods for medical research, diagnostic and therapeutic applications}, year = {2010}, month = {2010}, type = {PhD Thesis}, author = {L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l} } @article {1008, title = {Method and system for automatically segmenting organs from three dimensional computed tomography images}, volume = {US20050907690}, year = {2009}, month = {2009}, address = {Amerikai Egyes{\"u}lt {\'A}llamok}, author = {M{\'a}rta Fidrich and E{\"o}rs M{\'a}t{\'e} and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Attila Kuba and Bence Kiss} } @book {1052, title = {MIPPR 2009: Multispectral Image Acquisition and Processing}, volume = {7494}, year = {2009}, note = {doi: 10.1117/12.839775Yichang}, month = {Oct 2009}, publisher = {SPIE}, organization = {SPIE}, type = {Book}, address = {Bellingham; Washington}, isbn = {9780819478054 }, editor = {Jayaram K Udupa and Nong Sang and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Hengqing Tong} } @article {1082, title = {Multimodal Automated Glaucoma Detection Combining the Glaucoma Probability Score and the Glaucoma Risk Index}, journal = {INVESTIGATIVE OPHTHALMOLOGY \& VISUAL SCIENCE}, volume = {50}, year = {2009}, note = {ARVO Meeting Abstracts}, month = {2009}, pages = {324}, type = {Abstract}, abstract = {

Purpose: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 {\textpm} 10.9 years) of papilla images of 149 glaucomatous patients (FDT test time 67.4 {\textpm} 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{\textdegree}) 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.

}, isbn = {0146-0404}, author = {Rudriger Bock and J{\"o}rg Meier and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Joachim Hornegger and Georg Michelson} } @article {912, title = {Preface to the Special Issue}, journal = {DISCRETE APPLIED MATHEMATICS}, volume = {157}, year = {2009}, note = {UT: 000262243800001ScopusID: 56649097446doi: 10.1016/j.dam.2008.08.005}, month = {2009///}, pages = {437}, isbn = {0166-218X} } @inbook {1051, title = {Retinal image analysis for automated glaucoma risk evaluation}, booktitle = {MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques}, year = {2009}, note = {ScopusID: 71549165160doi: 10.1117/12.851179}, month = {2009}, pages = {74971C-1 - 74971C-9}, publisher = {SPIE}, organization = {SPIE}, address = {Bellingham; Washington}, abstract = {

Images 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 {\textquotedblleft}vessel- free{\textquotedblright} 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.

}, doi = {10.1117/12.851179}, author = {L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l}, editor = {Jianguo Liu and Kunio Doi and Aaron Fenster and C S Chan} } @article {1083, title = {Automated Glaucoma Detection From Color Fundus Photographs}, journal = {INVESTIGATIVE OPHTHALMOLOGY \& VISUAL SCIENCE}, volume = {49}, year = {2008}, note = {ARVO Meeting Abstracts}, month = {2008}, pages = {1863}, type = {Journal article}, abstract = {

Purpose: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 {\textpm} 33.4 s) and 100 normals (overall mean age 57.0 {\textpm} 10.0 years) from the Erlangen Glaucoma Registry (Kowa non-myd, FOV 22,5{\textdegree}). 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.

}, isbn = {0146-0404}, author = {Rudriger Bock and J{\"o}rg Meier and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Joachim Hornegger and Georg Michelson} } @article {1084, title = {The Erlanger Glaucoma Matrix - A Visualization Approach Towards Optimal Glaucomatous Optic Nerve Head Image Presentation}, journal = {INVESTIGATIVE OPHTHALMOLOGY \& VISUAL SCIENCE}, volume = {49}, year = {2008}, note = {ARVO Meeting Abstracts}, month = {May 2008}, pages = {1893}, publisher = {Arvo}, type = {Journal article}, abstract = {

Purpose: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{\textquoteright} 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{\textquoteright} 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.

}, isbn = {0146-0404}, author = {J{\"o}rg Meier and Rudriger Bock and C Forman and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Joachim Hornegger and Georg Michelson} } @article {1395, title = {Geometrical model-based segmentation of the organs of sight on CT images}, journal = {MEDICAL PHYSICS}, volume = {35}, year = {2008}, note = {UT: 000253318400036ScopusID: 38849194643doi: 10.1118/1.2826557}, month = {Feb 2008}, pages = {735 - 743}, type = {Journal article}, abstract = {

Segmentation 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.

}, isbn = {0094-2405}, author = {Gy{\"o}rgy Bekes and E{\"o}rs M{\'a}t{\'e} and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Attila Kuba and M{\'a}rta Fidrich} } @inbook {1172, title = {A k{\'e}pfeldolgoz{\'a}s kutat{\'a}sa a Szegedi Tudom{\'a}nyegyetemen}, booktitle = {Informatika a fels{\H o}oktat{\'a}sban 2008}, year = {2008}, note = {Art. No.: E62}, month = {2008///}, publisher = {Debreceni Egyetem Informatikai Kar}, organization = {Debreceni Egyetem Informatikai Kar}, address = {Debrecen}, abstract = {A digit{\'a}lis k{\'e}pfeldolgoz{\'a}s kutat{\'a}s{\'a}nak a Szegedi Tudom{\'a}nyegyetemTerm{\'e}szettudom{\'a}nyi {\'e}s Informatikai Kar{\'a}n, az Informatikai Tansz{\'e}kcsoport K{\'e}pfeldolgoz{\'a}s {\'e}s Sz{\'a}m{\'\i}t{\'o}g{\'e}pes Grafika Tansz{\'e}k{\'e}n k{\"o}zel n{\'e}gy {\'e}vtizedes hagyom{\'a}nya van. A Tansz{\'e}k valamennyi munkat{\'a}rsa nemzetk{\"o}zileg elismert kutat{\'o}munk{\'a}t folytat, melyet m{\'a}r t{\"o}bb sz{\'a}z rangos publik{\'a}ci{\'o} f{\'e}mjelez. Sz{\'a}mos, a k{\'e}pfeldolgoz{\'a}s kutat{\'a}s{\'a}ban vezet{\H o} egyetemmel {\'e}s kutat{\'o}int{\'e}zettel {\'e}p{\'\i}tett{\"u}nk ki szoros kapcsolatot {\'e}s folytattunk eredm{\'e}nyes kutat{\'o}munk{\'a}t, akt{\'\i}v r{\'e}sztvev{\H o}i vagyunk a hazai {\'e}s a nemzetk{\"o}zi tudom{\'a}nyos k{\"o}z{\'e}letnek. A legfontosabb, jelenleg is foly{\'o} kutat{\'a}saink: orvosi k{\'e}pek feldolgoz{\'a}sa, diszkr{\'e}t tomogr{\'a}fia, k{\'e}pszegment{\'a}l{\'a}s, t{\'e}rinformatika, t{\'a}v{\'e}rz{\'e}kel{\'e}s, k{\'e}pregisztr{\'a}ci{\'o}, v{\'a}zkijel{\"o}l{\'e}s, m{\H u}t{\'e}ti tervez{\'e}s. }, url = {http://www.agr.unideb.hu/if2008/kiadvany/papers/E62.pdf} } @inbook {1050, title = {Novel Visualization Approach of an Automated Image Based Glaucoma Risk Index for Intuitive Diagnosis}, booktitle = {Analysis of Biomedical Signals and Images}, year = {2008}, note = {WoS: 000303717200044}, month = {2008///}, pages = {205 - 209}, publisher = {Brno University of Technology}, organization = {Brno University of Technology}, address = {Brno}, abstract = {

Glaucoma 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.

}, author = {J{\"o}rg Meier and Rudriger Bock and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Joachim Hornegger and Georg Michelson}, editor = {Ji{\v r}{\'\i} Jan and Ji{\v r}{\'\i} Konzuplik and Ivo Provazn{\'\i}k} } @article {1007, title = {Systems and methods for segmenting an organ in a plurality of images}, volume = {US20040858241}, year = {2008}, month = {2008}, address = {Amerikai Egyes{\"u}lt {\'A}llamok}, author = {M{\'a}rta Fidrich and G{\'e}za Makay and E{\"o}rs M{\'a}t{\'e} and Emese Balogh and Attila Kuba and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Judit Kany{\'o}} } @inbook {914, title = {Techniques of Virtual Dissection of the Colon Based on Spiral CT Data}, booktitle = {Image Processing in Radiology}, year = {2008}, note = {doi: 10.1007/978-3-540-49830-8_18}, month = {2008}, pages = {257 - 268}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, type = {Book chapter}, address = {Berlin}, abstract = {

Colorectal 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).

}, doi = {10.1007/978-3-540-49830-8_18}, author = {Erich Sorantin and Emese Balogh and Anna Vilanova Bartroli and K{\'a}lm{\'a}n Pal{\'a}gyi and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Franz Lindbichler and Andrea Ruppert}, editor = {Emanuele Neri and Davide Caramella and Carlo Bartolozzi} } @article {1088, title = {3D segmentation of liver, kidneys and spleen from CT images}, journal = {INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY}, volume = {2}, year = {2007}, note = {ScopusID: 34250685687doi: 10.1007/s11548-007-0083-7}, month = {June 2007}, pages = {S45 - S47}, type = {Jounal article}, abstract = {

The 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.

}, isbn = {1861-6410}, author = {Gy{\"o}rgy Bekes and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and E{\"o}rs M{\'a}t{\'e} and Attila Kuba and M{\'a}rta Fidrich} } @inbook {1047, title = {Appearance-based Approach to Extract an Age-related Biomarker from Retinal Images}, booktitle = {3rd Russian-Bavarian Conference on Bio-Medical Engineering, Proceedings}, volume = {1}, year = {2007}, month = {2007}, pages = {127 - 131}, publisher = {Friedrich-Alexander University Erlangen-Nuremberg}, organization = {Friedrich-Alexander University Erlangen-Nuremberg}, type = {Conference paper}, address = {Erlangen}, abstract = {

We 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.

}, author = {Rudriger Bock and J{\"o}rg Meier and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Simone W{\"a}rntges and Georg Michelson and Joachim Hornegger}, editor = {Joachim Hornegger and Ernst W Mayr and Sergey Schookin and Hubertus Feu{\ss}ner and Nassir Navab and Yuri V. Gulyaev and Kurt H{\"o}ller and Victor Ganzha} } @inbook {1046, title = {Classifying Glaucoma with Image-based Features from Fundus Photographs}, booktitle = {Pattern Recognition}, series = {Lecture Notes in Computer Science}, number = {4713}, year = {2007}, note = {ScopusID: 38149039478doi: 10.1007/978-3-540-74936-3_36}, month = {Sep 2007}, pages = {355 - 364}, publisher = {Springer Verlag}, organization = {Springer Verlag}, type = {Conference paper}, address = {Heidelberg}, abstract = {

Glaucoma 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 {\textquotedblleft}vessel-free{\textquotedblright} 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.

}, isbn = {978-3-540-74933-2}, issn = {0302-9743}, doi = {10.1007/978-3-540-74936-3_36}, author = {Rudriger Bock and J{\"o}rg Meier and Georg Michelson and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Joachim Hornegger}, editor = {Fred A Hamprecht and Christoph Schnorr and Bernd J{\"a}hne} } @inbook {1045, title = {Effects of Preprocessing Eye Fundus Images on Appearance Based Glaucoma Classification}, booktitle = {Computer Analysis of Images and Patterns}, series = {Lecture Notes in Computer Science}, number = {4673}, year = {2007}, note = {ScopusID: 38149068236doi: 10.1007/978-3-540-74272-2_21}, month = {Aug 2007}, pages = {165 - 172}, publisher = {Springer Verlag}, organization = {Springer Verlag}, type = {Conference paper}, address = {Berlin; Heidelberg}, abstract = {

Early 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.

}, isbn = {978-3-540-74271-5}, issn = {0302-9743}, doi = {10.1007/978-3-540-74272-2_21}, author = {J{\"o}rg Meier and Rudriger Bock and Georg Michelson and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Joachim Hornegger}, editor = {Walter G Kropatsch and Martin Kampel and Allan Hanbury} } @article {1085, title = {Extraction of an Age-Related Biomarker From Retinal Images Using Appearance Based Approach}, journal = {INVESTIGATIVE OPHTHALMOLOGY \& VISUAL SCIENCE}, volume = {48}, year = {2007}, note = {ARVO Meeting Abstracts}, month = {2007}, pages = {2167}, type = {Journal article}, abstract = {

Purpose:To develop an appropriate algorithm from retina imagesusing an appearance-based version of the Principal Component Analysis and to test the age-related biomarker{\textquoteright}s significance for patients at cardiovascular risk. Methods:Sixty-five men (age, 44.2 {\textpm} 11.4 years) and 60 women (age, 48.8 {\textpm} 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 {\textpm} 9.4 years; hypertensive for 5.9 {\textpm} 6.7 years) and 26 hypertensive women (age, 51.2 {\textpm} 7.3 years; hypertensive for 7.9 {\textpm} 7.1 years) as well as 57 male smokers (age, 41.8 {\textpm} 8.5 years; smoking for 20.6 {\textpm} 9.8 years; 15.3 {\textpm} 8.6 cigarettes per day) and 60 female smokers (age, 43.2 {\textpm} 9.5 years; smoking for 20.1 {\textpm} 10.7 years; 13.5 {\textpm} 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 {\textpm} 1.29; female, -0.12 {\textpm} 0.11) than age-matched control subjects (male, 0.72 {\textpm} 0.92, p \< 0.001; female, 0.24 {\textpm} 0.98, p = 0.048). Hypertension had a similar influence to the biomarker in men (0.10 {\textpm} 0.84), but not in women (-0.46 {\textpm} 1.23) as compared to age-matched controls (male, 0.57 {\textpm} 0.95, p = 0.01; female, 0.06 {\textpm} 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.

}, isbn = {0146-0404}, author = {Georg Michelson and Simone W{\"a}rntges and Rudriger Bock and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Joachim Hornegger} } @inbook {1044, title = {Eye Fundus Image Processing System for Automated Glaucoma Classification}, booktitle = {52nd IWK - Internationales Wissenschaftliches Kolloquium - Volume II.}, year = {2007}, month = {Sep 2007}, pages = {81 - 84}, publisher = {Technische Universitat}, organization = {Technische Universitat}, type = {Conference paper}, address = {Ilmenau}, url = {http://www.db-thueringen.de/servlets/DerivateServlet/Derivate-12272/IWK_2007_2.pdf}, author = {J{\"o}rg Meier and Rudriger Bock and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Georg Michelson}, editor = {P Scharff} } @conference {1048, title = {Retina Image Analysis System for Glaucoma Detection}, booktitle = {BMT 2007: 41. Jahrestagung der Deutschen Gesellschaft f{\"u}r Biomedizinische Technik im VDE}, year = {2007}, note = {Art. No.: 1569047505}, month = {Sep 2007}, type = {Conference paper}, address = {Aachen, Germany}, author = {Rudriger Bock and J{\"o}rg Meier and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Georg Michelson and Joachim Hornegger} } @inbook {1043, title = {Whole Body MRI Intensity Standardization}, booktitle = {Bildverarbeitung f{\"u}r die Medizin 2007}, series = {Informatik aktuell}, year = {2007}, note = {doi: 10.1007/978-3-540-71091-2_92}, month = {March 2007}, pages = {459 - 463}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, type = {Conference paper}, address = {M{\"u}nchen, Germany}, abstract = {

A 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.

}, isbn = {978-3-540-71090-5}, issn = {1431-472X}, doi = {10.1007/978-3-540-71091-2_92}, author = {Florian J{\"a}ger and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Bernd Frericks and Frank Wacker and Joachim Hornegger}, editor = {Alexander Horsch and Thomas Martin Deserno and Heinz Handels and Hans-Peter Meinzer and Thomas Tolxdorff} } @inbook {1338, title = {A benchmark evaluation of large-scale optimization approaches to binary tomography}, booktitle = {Discrete Geometry for Computer Imagery}, year = {2006}, note = {UT: 000241649600013doi: 10.1007/11907350_13}, month = {2006}, pages = {146 - 156}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, address = {Berlin; Heidelberg} } @proceedings {913, title = {Discrete Geometry for Computer Imagery}, volume = {4245}, year = {2006}, note = {UT: 000241649600007ScopusID: 33845210215doi: 10.1007/11907350}, month = {2006}, pages = {688}, publisher = {Springer-Verlag}, abstract = {

This 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.

}, doi = {10.1007/11907350}, url = {http://www.springerlink.com/content/t38633812l42/} } @inbook {909, title = {New advances for imaging laryngo / trachealstenosis by post processing of spiral-CT data}, booktitle = {Digital (r)evolution in radiology}, year = {2006}, month = {2006///}, pages = {297 - 308}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, address = {Wien; New York} } @inbook {1140, title = {The number of line-convex directed polyominoes having the same orthogonal projections}, booktitle = {Discrete Geometry for Computer Imagery}, year = {2006}, note = {UT: 000241649600007ScopusID: 33845210215}, month = {2006///}, pages = {77 - 85}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, address = {Berlin, Heidelberg}, abstract = {

The 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. {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.

} } @inbook {1030, title = {Method for Automatically Segmenting the Spinal Cord and Canal from 3D CT Images}, booktitle = {Joint Hungarian-Austrian conference on image processing and pattern recognition. 5th conference of the Hungarian Association for Image Processing and Pattern Recognition (K{\'E}PAF), 29th workshop of the Austrian Association for Pattern Reco}, year = {2005}, month = {2005///}, pages = {311 - 318}, publisher = {OCG}, organization = {OCG}, address = {Vienna}, abstract = {We 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. } } @inbook {1404, title = {Method for automatically segmenting the spinal cord and canal from 3D CT images}, booktitle = {Computer Analysis of Images and Patterns}, year = {2005}, note = {UT: 000232301200056}, month = {2005}, pages = {456 - 463}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, address = {Berlin; Heidelberg} } @inbook {908, title = {Techniques in 3D Assessment of Tracheal-Stenosis by the Mean of Spiral Computed Tomography (S-CT) and Their Applications}, booktitle = {Medical Imaging Systems Technology}, year = {2005}, note = {doi: 10.1142/9789812701077_0003}, month = {2005///}, pages = {61 - 80}, publisher = {World Scientific}, organization = {World Scientific}, address = {Singapore}, abstract = {Endotracheal intubation is the most common cause of Laryngo-Tracheal Stenoses (LTS), followed by trauma and prior airway surgery.1{\textendash}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{\textendash}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{\textquoteright}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 {\textemdash} cross-sectional profiles; Intranet applications; and a conclusion is drawn in the final section. } } @inbook {1010, title = {Multiple Sclerosis lesion quantification in MR images by using vectorial scale-based relative fuzzy connectedness}, booktitle = {Medical Imaging 2004: Image Processing}, year = {2004}, note = {ScopusID: 5644264947doi: 10.1117/12.535655}, month = {2004///}, pages = {1764 - 1773}, publisher = {SPIE}, organization = {SPIE}, address = {Bellingham; Washington}, abstract = {This 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. } } @conference {977, title = {Sz{\'a}m{\'\i}t{\'o}g{\'e}pes k{\'e}pfeldolgoz{\'a}s oktat{\'a}sa a Szegedi Tudom{\'a}nyegyetemen}, booktitle = {A K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k T{\'a}rsas{\'a}g{\'a}nak konferenci{\'a}ja - K{\'E}PAF 2004}, year = {2004}, month = {Jan 2004}, pages = {191 - 196}, publisher = {Neumann J{\'a}nos Sz{\'a}m{\'\i}t{\'o}g{\'e}p-tudom{\'a}nyi T{\'a}rsas{\'a}g}, organization = {Neumann J{\'a}nos Sz{\'a}m{\'\i}t{\'o}g{\'e}p-tudom{\'a}nyi T{\'a}rsas{\'a}g}, address = {Miskolc}, abstract = {

Az SZTE Informatikai Tansz{\'e}kcsoportja {\'a}ltal gondozott szakoktanterveiben 1993 {\'o}ta szerepel a k{\'e}pfeldolgoz{\'a}s {\'e}s alkalmaz{\'a}sainak oktat{\'a}sa. A kreditrendszer bevezet{\'e}s{\'e}vel a K{\'e}pfeldolgoz{\'a}s I. t{\'a}rgy k{\"o}telez{\H o} az {\"o}t{\'e}ves k{\'e}pz{\'e}sben r{\'e}szt vev{\H o} informatikus hallgat{\'o}knak. Ezen fel{\"u}l a v{\'a}laszthat{\'o} szakir{\'a}nyok k{\"o}z{\"o}tt szint{\'e}n szerepel a K{\'e}pfeldolgoz{\'a}s szakir{\'a}ny. A szakir{\'a}nyon bel{\"u}l k{\"u}l{\"o}nb{\"o}z{\H o} k{\'e}ppfeldolgoz{\'a}si ter{\"u}leteket t{\'a}rgyal{\'o} kurzusok {\'e}p{\"u}lnek egym{\'a}sra. Az elm{\'e}leti megalapoz{\'a}s mellett a k{\'e}pfeldolgoz{\'a}s alkalmaz{\'a}saira is nagy hangs{\'u}lyt fektet{\"u}nk. A kutat{\'a}sok illetve az orvosi alkalmaz{\'a}sok fejleszt{\'e}se sor{\'a}n szerzett eredm{\'e}nyeket a k{\"o}telez{\H o} jelleg{\H u} t{\'a}rgyak mellett speci{\'a}lkoll{\'e}giumok keret{\'e}ben {\'e}p{\'\i}tj{\"u}l be az otkat{\'a}si anyagba. Sz{\'a}mos hallgat{\'o}nk v{\'a}laszt a k{\'e}pfeldolgz{\'a}s ter{\"u}let{\'e}r{\H o}l t{\'e}m{\'a}t a diplomamunk{\'a}j{\'a}hoz, dolgozataikkal rendszeresen {\'e}s sikerrel szerepelnek az OTDK-n. Hallgat{\'o}ink {\'e}vente t{\"o}bb h{\'o}napot t{\"o}lthetnek k{\"u}lf{\"o}ldi partneregyetemeinken, ahol a kutat{\'o}- {\'e}s fejleszt{\H o}munka mellett n{\'a}lunk is elfogadott kurzusokat teljes{\'\i}thetnek. A k{\'e}pfeldolgoz{\'a}s t{\'e}mak{\"o}r{\"o}n bel{\"u}l "ipari" projekt munk{\'a}kban is egyre t{\"o}bb hallgat{\'o} vesz r{\'e}szt. A doktori programon bel{\"u}l is meghirdet{\"u}nk k{\'e}pfeldolgoz{\'a}shoz kapcsol{\'o}d{\'o} kutat{\'a}si ir{\'a}nyokat. Az {\'e}vente megrendez{\'e}sre ker{\"u}l{\H o}, 11-{\'e}ves m{\'u}ltra visszatekint{\H o} K{\'e}pfeldolgoz{\'o} Ny{\'a}ri Iskol{\'a}nak (SSIP) eddig hatszor adott otthont Szeged. A rendszv{\'e}nysorozat kiemelked{\H o} fontoss{\'a}g{\'u} nemzetk{\"o}zi f{\'o}rum hallgat{\'o}ink {\'e}s oktat{\'o}ink sz{\'a}m{\'a}ra is.

} } @article {895, title = {3D cross section of the laryngotracheal tract. A new method for visualization and quantification of tracheal stenoses}, journal = {RADIOLOGE}, volume = {43}, year = {2003}, note = {UT: 000188058500005ScopusID: 9144241258doi: 10.1007/s00117-003-0990-8}, month = {2003///}, pages = {1056 - 1068}, abstract = {PURPOSE: 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. }, isbn = {0033-832X} } @article {998, title = {3D cross section of the laryngotracheal tract. A new method for visualization and quantification of tracheal stenoses}, journal = {RADIOLOGE}, volume = {43}, year = {2003}, note = {UT: 000188058500005ScopusID: 9144241258doi: 10.1007/s00117-003-0990-8}, month = {2003///}, pages = {1056 - 1068}, abstract = {PURPOSE: 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. }, isbn = {0033-832X} } @article {1857, title = {3D-Querschnittsprofil des Laryngotrachealtrakts{\textemdash}Eine neue Methode zur Visualisierung und Quantifizierung von Trachealstenosen}, journal = {Der Radiologe}, volume = {43}, year = {2003}, month = {2003}, pages = {1056-1068}, publisher = {Springer-Verlag}, type = {Journal Article}, abstract = {

Purpose

Demonstration of a technique for 3D 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 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 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\%.

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.

}, issn = {0033-832X}, doi = {10.1007/s00117-003-0990-8}, url = {http://dx.doi.org/10.1007/s00117-003-0990-8}, author = {Sorantin, Erich. and Halmai, Csongor. and Bal{\'a}zs Erd{\H o}helyi and K{\'a}lm{\'a}n Pal{\'a}gyi and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Oll{\'e}, Kriszti{\'a}n. and Geiger, B. and Lindbichler, F. and Friedrich, G. and Kiesler, K.} } @article {999, title = {3DVIEWNIX-AVS: a software package for the separate visualization of arteries and veins in CE-MRA images}, journal = {COMPUTERIZED MEDICAL IMAGING AND GRAPHICS}, volume = {27}, year = {2003}, note = {UT: 000184800600003ScopusID: 0038122922doi: 10.1016/S0895-6111(03)00029-6}, month = {2003///}, pages = {351 - 362}, abstract = {Our 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{\textquoteright}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. }, isbn = {0895-6111} } @article {1000, title = {Incorporating a measure of local scale in voxel-based 3-D image registration}, journal = {IEEE TRANSACTIONS ON MEDICAL IMAGING}, volume = {22}, year = {2003}, note = {UT: 000182391600009ScopusID: 0038398636doi: 10.1109/TMI.2002.808358}, month = {2003///}, pages = {228 - 237}, abstract = {We 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. }, isbn = {0278-0062} } @article {1006, title = {Method for standardizing the MR image intensity scale}, volume = {US19990447781}, year = {2003}, month = {2003}, address = {Amerikai Egyes{\"u}lt {\'A}llamok} } @inbook {1308, title = {Digit{\'a}lis k{\'e}pt{\'a}rol{\'o} {\'e}s k{\'e}ptov{\'a}bb{\'\i}t{\'o} rendszer (PACS) a Szegedi Tudom{\'a}nyegyetemen}, booktitle = {K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k III. Konfereci{\'a}ja}, year = {2002}, month = {2002}, pages = {132 - 139}, publisher = {NJSZT-K{\'E}PAF}, organization = {NJSZT-K{\'E}PAF}, address = {Szeged} } @inbook {1024, title = {Digit{\'a}lis k{\'e}pt{\'a}rol{\'o} {\'e}s k{\'e}ptov{\'a}bb{\'\i}t{\'o} rendszer (PACS) a Szegedi Tudom{\'a}nyegyetemen}, booktitle = {K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k III. Konfereci{\'a}ja}, year = {2002}, month = {2002///}, pages = {132 - 139}, publisher = {NJSZT-K{\'E}PAF}, organization = {NJSZT-K{\'E}PAF}, address = {Szeged} } @article {1001, title = {Fuzzy-connected 3D image segmentation at interactive speeds}, journal = {GRAPHICAL MODELS}, volume = {64}, year = {2002}, note = {UT: 000182188800001ScopusID: 0038708574doi: 10.1016/S1077-3169(02)00005-9}, month = {2002///}, pages = {259 - 281}, abstract = {Image 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 {\textquoteright}optimal{\textquoteright} 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. }, isbn = {1524-0703} } @article {938, title = {Medical Image Processing, Surgical Planning, Image-Guided Therapy and Robotic Applications: Recent Developments for Radiology}, journal = {EUROPEAN RADIOLOGY}, volume = {12}, year = {2002}, note = {doi: 10.1007/s00330-002-0004-7}, month = {2002///}, pages = {504}, isbn = {0938-7994} } @mastersthesis {1005, title = {Novel MR Image Analysis Strategies: Applications in Multiple Sclerosis}, year = {2002}, month = {2002} } @inbook {1016, title = {A protocol-independent brain MRI segmentation method}, booktitle = {Medical Imaging 2002: Image Processing}, year = {2002}, note = {ScopusID: 0036030011doi: 10.1117/12.467128}, month = {2002///}, pages = {1588 - 1599}, publisher = {SPIE}, organization = {SPIE}, address = {Bellingham; Washington}, abstract = {We 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. } } @article {896, title = {Spiral-CT-based assessment of tracheal stenoses using 3-D-skeletonization}, journal = {IEEE TRANSACTIONS ON MEDICAL IMAGING}, volume = {21}, year = {2002}, note = {UT: 000175063900007ScopusID: 0036489382doi: 10.1109/42.996344}, month = {2002///}, pages = {263 - 273}, abstract = {PURPOSE: 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. }, isbn = {0278-0062} } @inbook {1091, title = {Sz{\'a}m{\'\i}t{\'o}g{\'e}pes k{\'e}pfeldolgoz{\'a}s oktat{\'a}sa a Szegedi Tudom{\'a}nyegyetemen}, booktitle = {Informatika a fels{\H o}oktat{\'a}sban}, year = {2002}, note = {A nyomtatott k{\"o}tetben az absztrakt a 150. oldalon tal{\'a}lhat{\'o}.A teljes cikk a CD mell{\'e}kleten, a D41.pdf f{\'a}jlban, a megadott oldalsz{\'a}mokkal szerepel. }, month = {2002///}, pages = {750 - 757}, publisher = {Debreceni Egyetem}, organization = {Debreceni Egyetem}, address = {Debrecen}, abstract = {A Szegedi Tudom{\'a}nyegyetem tanterveiben 1993 {\'o}ta szerepel ak{\'e}pfeldolgoz{\'a}s {\'e}s alkalmaz{\'a}sainak oktat{\'a}sa. A tant{\'a}rgy ez id{\H o} alatt sok v{\'a}ltoz{\'a}son ment {\'a}t. Jelenleg a K{\'e}pfeldolgoz{\'a}s szakir{\'a}nyt v{\'a}laszt{\'o} hallgat{\'o}k r{\'e}szes{\"u}lnek ilyen k{\'e}pz{\'e}sben. Az adott szakir{\'a}nyon bel{\"u}l k{\"u}l{\"o}nb{\"o}z{\H o} k{\'e}pfeldolgoz{\'a}si ter{\"u}letek oktat{\'a}sa {\'e}p{\"u}l egym{\'a}sra. Az oktat{\'a}s sor{\'a}n nem csak elm{\'e}leti {\'e}s gyakorlati ismereteket szerezhetnek a hallgat{\'o}k, hanem n{\'e}h{\'a}ny (f{\H o}leg orvosi) alkalmaz{\'a}s is bemutat{\'a}sra ker{\"u}l. A k{\"o}telez{\H o} jelleg{\H u} t{\'a}rgyak mellett speci{\'a}lkoll{\'e}giumok engednek bepillant{\'a}st m{\'a}s kieg{\'e}sz{\'\i}t{\H o} ter{\"u}letekre. A hallgat{\'o}k a k{\'e}pfeldolgoz{\'a}s t{\'e}m{\'a}val rendszeresen vesznek r{\'e}sz helyi {\'e}s orsz{\'a}gos Tudom{\'a}nyos DI{\'a}kk{\"o}ri Konferenci{\'a}kon. Az ut{\'o}bbi id{\H o}ben siker{\"u}lt a k{\'e}pfeldolgoz{\'a}sban {\'e}rdekelt c{\'e}gekkel felvenni a kapcsolatot, {\'\i}gy {\'e}vente t{\"o}bb hallgat{\'o} vehet r{\'e}szt ipari alkalmaz{\'a}sok fejleszt{\'e}s{\'e}ben. A doktori programon bel{\"u}l is meghirdet{\"u}nk k{\'e}pfeldolgoz{\'a}shoz kapcsol{\'o}d{\'o} kutat{\'a}si ir{\'a}nyokat. Ezenk{\'\i}v{\"u}l rendszeresen megrendezz{\"u}k a nemzetk{\"o}zi K{\'e}pfeldolgoz{\'o} Ny{\'a}ri Iskol{\'a}kat, ahol nemcsak Magyarorsz{\'a}gr{\'o}l, hanem a k{\"o}rnyez{\H o} orsz{\'a}gokb{\'o}l is fogadunk hallgat{\'o}kat {\'e}s oktat{\'o}kat. } } @inbook {1023, title = {T{\"o}bbdimenzi{\'o}s MRI k{\'e}pek feldolgoz{\'a}sa}, booktitle = {K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k III. Konfereci{\'a}ja}, year = {2002}, month = {2002///}, pages = {96 - 97}, publisher = {NJSZT-K{\'E}PAF}, organization = {NJSZT-K{\'E}PAF}, address = {Szeged} } @article {900, title = {Virtual dissection and automated polyp detection of the colon based on spiral CT - Techniques and preliminary experience on a cadaveric phantom}, journal = {EUROPEAN SURGERY - ACTA CHIRURGICA AUSTRIACA}, volume = {34}, year = {2002}, note = {ScopusID: 0037000327doi: 10.1046/j.1563-2563.2002.02018.x}, month = {2002///}, pages = {143 - 149}, abstract = {Background: 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{\textquoteright}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{\textquoteright}s table. Colonic folds show a {\textquoteright}global outward bulging of the contour{\textquoteright}, whereas colonic polyps exhibit the inverse ({\textquoteright}local inward bulging{\textquoteright}). This feature is used to map areas of {\textquoteright}local inward bulging{\textquoteright} 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. }, isbn = {1682-8631} } @inbook {901, title = {Virtual Dissection of the Colon}, booktitle = {K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k III. Konfereci{\'a}ja}, year = {2002}, month = {2002///}, pages = {109 - 117}, publisher = {NJSZT-K{\'E}PAF}, organization = {NJSZT-K{\'E}PAF}, address = {Szeged} } @inbook {899, title = {Virtual Dissection of the Colon}, booktitle = {3D Image Processing}, year = {2002}, note = {doi: 10.1007/978-3-642-59438-0_18}, month = {2002///}, pages = {197 - 209}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, address = {New York} } @inbook {897, title = {Virtual dissection of the colon: technique and first experiments with artificial and cadaveric phantoms}, booktitle = {Medical Imaging 2002: Visualization, Image-Guided Procedures, and Display}, year = {2002}, note = {ScopusID: 0036061143doi: 10.1117/12.466982}, month = {2002///}, pages = {713 - 721}, publisher = {SPIE}, organization = {SPIE}, address = {Bellingham; Washington}, abstract = {Virtual 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. } } @article {1004, title = {Brain atrophy in relapsing-remitting multiple sclerosis: Fractional volumetric analysis of gray matter and white matter}, journal = {RADIOLOGY}, volume = {220}, year = {2001}, note = {UT: 000170616700008ScopusID: 0034866802doi: 10.1148/radiol.2203001776}, month = {2001///}, pages = {606 - 610}, abstract = {PURPOSE: 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. }, isbn = {0033-8419} } @article {1002, title = {Multiprotocol MR image segmentation in multiple sclerosis: Experience with over 1,000 studies}, journal = {ACADEMIC RADIOLOGY}, volume = {8}, year = {2001}, note = {UT: 000171987900006ScopusID: 0034767131doi: 10.1016/S1076-6332(03)80723-7}, month = {2001///}, pages = {1116 - 1126}, abstract = {RATIONALE 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. }, isbn = {1076-6332} } @inbook {1015, title = {Task-specific comparison of 3D image registration methods}, booktitle = {Medical Imaging 2001: Image Processing}, year = {2001}, note = {ScopusID: 0034843423doi: 10.1117/12.431044}, month = {2001///}, pages = {1588 - 1598}, publisher = {SPIE}, organization = {SPIE}, address = {Bellingham; Washington}, abstract = {We 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. } } @inbook {898, title = {Virtual Dissection of the Colon Based on Helical CT Data - Can It Be Done?}, booktitle = {Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis, ISPA 2001, Pula, Croatia}, year = {2001}, note = {doi: 10.1109/ISPA.2001.938632}, month = {2001///}, pages = {224 - 229}, publisher = {University of Zagreb}, organization = {University of Zagreb}, address = {Zagreb}, abstract = {Colorectal 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{\textquoteright}s table. The approach and image processing as well as the early experience are described in this paper. } } @booklet {1076, title = {Brain Atrophy in Relapsing-Remitting Multiple Sclerosis: A Fractional Volumetric Analysis of Gray Matter and White Matter}, year = {2000}, month = {2000///} } @inbook {1014, title = {Fuzzy-connected 3D image segmentation at interactive speeds}, booktitle = {Medical Imaging 2000: Image Processing}, year = {2000}, note = {ScopusID: 0033687148doi: 10.1117/12.387681}, month = {2000///}, pages = {212 - 223}, publisher = {SPIE}, organization = {SPIE}, address = {Bellingham; Washington}, abstract = {Image 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. } } @booklet {1074, title = {Magnetization Transfer Ratio Histogram Analysis of Normal Appearing Gray Matter and White Matter in MS}, year = {2000}, month = {2000///} } @article {993, title = {MR image analysis in multiple sclerosis}, journal = {NEUROIMAGING CLINICS OF NORTH AMERICA}, volume = {10}, year = {2000}, note = {UT: 000168611300013ScopusID: 0034447740}, month = {2000///}, pages = {799 - 815}, abstract = {MR 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. }, isbn = {1052-5149} } @booklet {1075, title = {MR Image Analysis in Multiple Sclerosis}, year = {2000}, month = {2000///} } @article {994, title = {Multiple sclerosis: Magnetization transfer histogram analysis of segmented normal-appearing white matter}, journal = {RADIOLOGY}, volume = {216}, year = {2000}, note = {UT: 000088430800008ScopusID: 0033894599}, month = {2000///}, pages = {351 - 355}, abstract = {PURPOSE: 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. }, isbn = {0033-8419} } @inbook {1013, title = {Multiprotocol MR image segmentation in multiple sclerosis: experience with over 1000 studies}, booktitle = {Medical Imaging 2000: Image Processing}, year = {2000}, note = {ScopusID: 0033721228doi: 10.1117/12.387606}, month = {2000///}, pages = {1017 - 1027}, publisher = {SPIE}, organization = {SPIE}, address = {Bellingham; Washington}, abstract = {Multiple 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. } } @article {995, title = {New variants of a method of MRI scale standardization}, journal = {IEEE TRANSACTIONS ON MEDICAL IMAGING}, volume = {19}, year = {2000}, note = {UT: 000086614000007ScopusID: 0033624997doi: 10.1109/42.836373}, month = {2000///}, pages = {143 - 150}, abstract = {One 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. }, isbn = {0278-0062} } @article {1003, title = {Numerical tissue characterization in MS via standardization of the MR image intensity scale}, journal = {JOURNAL OF MAGNETIC RESONANCE IMAGING}, volume = {12}, year = {2000}, note = {UT: 000171295400008ScopusID: 0033754689doi: 10.1002/1522-2586(200011)12:5\<715::AID-JMRI8\>3.0.CO;2-D}, month = {2000///}, pages = {715 - 721}, abstract = {Image 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. }, isbn = {1053-1807} } @conference {1019, title = {Numerical Tissue Characterization in MS via Standardization of the MR Image Intensity Scale}, booktitle = {International Society for Magnetic Resonance in Medicine: Eight Scientific Meeting and Exhibition}, year = {2000}, month = {Apr 2000}, pages = {579}, address = {Berkeley} } @conference {1017, title = {Standardizing the MR Image Intensity Scale and Its Applications}, booktitle = {Conference of PhD Students in Computer Science}, volume = {Volume of extended abstracts}, year = {2000}, month = {July 2000}, pages = {75}, publisher = {J{\'o}zsef Attila Tudom{\'a}nyegyetem}, organization = {J{\'o}zsef Attila Tudom{\'a}nyegyetem}, address = {Szeged} } @inbook {1012, title = {Standardizing the MR image intensity scales: making MR intensities have tissue-specific meaning}, booktitle = {Medical Imaging 2000: Image Display and Visualization}, year = {2000}, note = {ScopusID: 0033745402doi: 10.1117/12.383076}, month = {2000///}, pages = {496 - 504}, publisher = {SPIE}, organization = {SPIE}, address = {Bellingham; Washington}, abstract = {One 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. } } @conference {1022, title = {A Szegedi Tudom{\'a}nyegyetem orvosi k{\'e}parchiv{\'a}l{\'o} {\'e}s tov{\'a}bb{\'\i}t{\'o} szoftver rendszere}, booktitle = {A K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k T{\'a}rsas{\'a}g{\'a}nak konferenci{\'a}ja - K{\'E}PAF 2000}, year = {2000}, month = {Jan 2000}, pages = {115}, abstract = {

A Szegedi Tudom{\'a}nyegyetem orvosi k{\'e}parchiv{\'a}l{\'o} {\'e}s -tov{\'a}bb{\'\i}t{\'o}rendszer (SZOTE-PACS) szoftver{\'e}nek a fejleszt{\'e}s{\'e}t ismertetj{\"u}k el{\H o}ad{\'a}sunkban. A c{\'e}lunk egy olyan sz{\'a}m{\'\i}t{\'o}g{\'e}pes h{\'a}l{\'o}zati alkalmaz{\'a}s elk{\'e}sz{\'\i}t{\'e}se volt, amely nemcsak a klinikai vizsg{\'a}latok k{\'e}peinek {\'a}tvitel{\'e}vel {\'e}s t{\'a}rol{\'a}s{\'a}val kapcsolatos feladatokat l{\'a}tja el, de t{\'a}mogatja az oktat{\'a}si {\'e}s konzult{\'a}ci{\'o}s tev{\'e}kenys{\'e}geket is.

} } @conference {1307, title = {A Szegedi Tudom{\'a}nyegyetem orvosi k{\'e}parchiv{\'a}l{\'o} {\'e}s tov{\'a}bb{\'\i}t{\'o} szoftver rendszere}, booktitle = {A K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k T{\'a}rsas{\'a}g{\'a}nak konferenci{\'a}ja - K{\'E}PAF 2000}, year = {2000}, month = {Jan 2000}, pages = {115}, abstract = {

A Szegedi Tudom{\'a}nyegyetem orvosi k{\'e}parchiv{\'a}l{\'o} {\'e}s -tov{\'a}bb{\'\i}t{\'o}rendszer (SZOTE-PACS) szoftver{\'e}nek a fejleszt{\'e}s{\'e}t ismertetj{\"u}k el{\H o}ad{\'a}sunkban. A c{\'e}lunk egy olyan sz{\'a}m{\'\i}t{\'o}g{\'e}pes h{\'a}l{\'o}zati alkalmaz{\'a}s elk{\'e}sz{\'\i}t{\'e}se volt, amely nemcsak a klinikai vizsg{\'a}latok k{\'e}peinek {\'a}tvitel{\'e}vel {\'e}s t{\'a}rol{\'a}s{\'a}val kapcsolatos feladatokat l{\'a}tja el, de t{\'a}mogatja az oktat{\'a}si {\'e}s konzult{\'a}ci{\'o}s tev{\'e}kenys{\'e}geket is.

} } @conference {1018, title = {Tissue Characterization in Relapsing-remitting and Secondary-progressive MS via Magnetization Transfer Ratio}, booktitle = {International Society for Magnetic Resonance in Medicine: Eight Scientific Meeting and Exhibition}, year = {2000}, month = {Apr 2000}, pages = {1189}, address = {Berkeley} } @inbook {1011, title = {Approach to standardizing MR image intensity scale}, booktitle = {Medical Imaging 1999: Image Display}, year = {1999}, note = {ScopusID: 0032677406doi: 10.1117/12.349472}, month = {1999///}, pages = {595 - 603}, publisher = {SPIE}, organization = {SPIE}, address = {Bellingham; Washington}, abstract = {Despite 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 {\textquoteright}learned{\textquoteright} 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. } } @booklet {1071, title = {Fuzzy Connected 3D Object Segmentation at Interactive Speeds}, year = {1999}, month = {1999///} } @conference {1314, title = {Image Compression in SZOTE-PACS (Picture Archiving and Communication System) in Szeged}, booktitle = {International Conference on Information Technology Interfaces (ITI)}, year = {1999}, month = {June 1999}, pages = {305 - 310}, publisher = {University of Zagreb}, organization = {University of Zagreb}, address = {Zagreb}, abstract = {

SZOTE-PACS is a joint software development between the J{\'o}zsefAttila University and the Albert Szent-Gy{\"o}rgyi 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.

} } @conference {1031, title = {Image Compression in SZOTE-PACS (Picture Archiving and Communication System) in Szeged}, booktitle = {International Conference on Information Technology Interfaces (ITI)}, year = {1999}, month = {June 1999}, pages = {305 - 310}, publisher = {University of Zagreb}, organization = {University of Zagreb}, address = {Zagreb}, abstract = {

SZOTE-PACS is a joint software development between the J{\'o}zsefAttila University and the Albert Szent-Gy{\"o}rgyi 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.

} } @booklet {1072, title = {Magnetization Transfer Histogram Analysis of Segmented Normal- Appearing White Matter in Multiple Sclerosis}, year = {1999}, month = {1999///} } @conference {1020, title = {Magnetization Transfer Histogram Analysis of Segmented Normal-Appearing White Matter in Multiple Sclerosis}, booktitle = {International Society for Magnetic Resonance in Medicine: Seventh Scientific Meeting and Exhibition}, year = {1999}, month = {May 1999}, pages = {957}, address = {Berkeley} } @article {1090, title = {New variants of a method of MRI scale normalization}, journal = {LECTURE NOTES IN COMPUTER SCIENCE}, volume = {1613}, year = {1999}, note = {UT: 000170515200051doi: 10.1007/3-540-48714-X_51In: Kuba A; Samal M; Todd-Pokropek A (szerk.)Information Processing in Medical Imaging: 16th International Conference, IPMI{\textquoteright}99, Visegr{\'a}d, Hungary, June/July 1999. Proceedings. 508 p. Visegr{\'a}d, Magyarorsz{\'a}g, 1999.06.28-1999.07.02. Berlin; Heidelberg: Springer-Verlag, 1999. pp. 490-495. (Lecture Notes in Computer Science; 1613.) (ISBN:3-540-66167-0) http://link.springer.com/book/10.1007/3-540-48714-X/page/1 }, month = {1999///}, pages = {490 - 495}, abstract = {One 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. }, isbn = {0302-9743} } @booklet {1070, title = {New Variants of a Method of MRI Scale Standardization}, year = {1999}, month = {1999///} } @booklet {1073, title = {Numerical Tissue Characterization in MS via Standardization of the MR Image Intensity Scale}, year = {1999}, month = {1999///} } @booklet {1069, title = {On Standardizing the MR Image Intensity Scale}, year = {1999}, month = {1999///} } @article {996, title = {On standardizing the MR image intensity scale}, journal = {MAGNETIC RESONANCE IN MEDICINE}, volume = {42}, year = {1999}, note = {UT: 000083959300011doi: 10.1002/(SICI)1522-2594(199912)42:6\<1072::AID-MRM11\>3.0.CO;2-M}, month = {1999///}, pages = {1072 - 1081}, abstract = {The 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. }, isbn = {0740-3194} } @article {997, title = {A comparison of lossless compression methods for medical images}, journal = {COMPUTERIZED MEDICAL IMAGING AND GRAPHICS}, volume = {22}, year = {1998}, note = {UT: 000076981400007ScopusID: 0344110480doi: 10.1016/S0895-6111(98)00042-1}, month = {1998///}, pages = {323 - 339}, abstract = {In 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. }, isbn = {0895-6111} } @booklet {1086, title = {The Comparison of Lossless Compression Methods in the Case of a Medical Image Database}, year = {1998}, month = {1998///} } @conference {1357, title = {Experience with the SZOTE PACS Starting Operations}, booktitle = {Magyar Radiol{\'o}gusok T{\'a}rsas{\'a}ga XIX. Kongresszusa}, year = {1998}, month = {June 1998}, pages = {68}, publisher = {Magyar Radiol{\'o}gus T{\'a}rsas{\'a}g}, organization = {Magyar Radiol{\'o}gus T{\'a}rsas{\'a}g}, address = {Budapest}, abstract = {

Introduction: 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.

} } @conference {1092, title = {Experience with the SZOTE PACS Starting Operations}, booktitle = {Magyar Radiol{\'o}gusok T{\'a}rsas{\'a}ga XIX. Kongresszusa}, year = {1998}, month = {June 1998}, pages = {68}, publisher = {Magyar Radiol{\'o}gus T{\'a}rsas{\'a}g}, organization = {Magyar Radiol{\'o}gus T{\'a}rsas{\'a}g}, address = {Budapest}, abstract = {

Introduction: 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.

} } @conference {1027, title = {Experience with the SZOTE-PACS Starting Operations}, booktitle = {EuroPACS Annual Meeting}, year = {1998}, month = {Oct 1998}, pages = {43 - 44}, address = {Barcelona} } @conference {1311, title = {Experience with the SZOTE-PACS Starting Operations}, booktitle = {EuroPACS Annual Meeting}, year = {1998}, month = {Oct 1998}, pages = {43 - 44}, address = {Barcelona} } @conference {1316, title = {Image Presentation in the SZOTE-PACS}, booktitle = {Magyar Radiol{\'o}gusok T{\'a}rsas{\'a}ga XIX. Kongresszusa}, year = {1998}, month = {June 1998}, pages = {56}, publisher = {Magyar Radiol{\'o}gus T{\'a}rsas{\'a}g}, organization = {Magyar Radiol{\'o}gus T{\'a}rsas{\'a}g}, address = {Budapest}, abstract = {

The 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{\textquotedblright}/8 bit color monitor) and Albacom Activa Standard computers (Intel Pentium 200 Mhz CPU, 32 MB EDO RAM, 2.1 GB disc, 17{\textquotedblright} 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.

} } @conference {1033, title = {Image Presentation in the SZOTE-PACS}, booktitle = {Magyar Radiol{\'o}gusok T{\'a}rsas{\'a}ga XIX. Kongresszusa}, year = {1998}, month = {June 1998}, pages = {56}, publisher = {Magyar Radiol{\'o}gus T{\'a}rsas{\'a}g}, organization = {Magyar Radiol{\'o}gus T{\'a}rsas{\'a}g}, address = {Budapest}, abstract = {

The 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{\textquotedblright}/8 bit color monitor) and Albacom Activa Standard computers (Intel Pentium 200 Mhz CPU, 32 MB EDO RAM, 2.1 GB disc, 17{\textquotedblright} 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.

} } @conference {1310, title = {Lossless Image Compression in SZOTE-PACS}, booktitle = {16th EuroPACS Annual Meeting}, year = {1998}, month = {Oct 1998}, pages = {95 - 98}, publisher = {*}, organization = {*}, address = {Barcelona} } @conference {1026, title = {Lossless Image Compression in SZOTE-PACS}, booktitle = {16th EuroPACS Annual Meeting}, year = {1998}, month = {Oct 1998}, pages = {95 - 98}, publisher = {*}, organization = {*}, address = {Barcelona} } @conference {1028, title = {Software Development of Medical Image Archiving System}, booktitle = {Conference of PhD Students in Computer Science}, volume = {Volume of Extended Abstracts}, year = {1998}, month = {July 1998}, pages = {79}, publisher = {J{\'o}zsef Attila Tudom{\'a}nyegyetem}, organization = {J{\'o}zsef Attila Tudom{\'a}nyegyetem}, address = {Szeged} } @conference {1312, title = {Software Development of Medical Image Archiving System}, booktitle = {Conference of PhD Students in Computer Science}, volume = {Volume of Extended Abstracts}, year = {1998}, month = {July 1998}, pages = {79}, publisher = {J{\'o}zsef Attila Tudom{\'a}nyegyetem}, organization = {J{\'o}zsef Attila Tudom{\'a}nyegyetem}, address = {Szeged} } @conference {1317, title = {The Software of the Digital Picture Archiving and Communication System Based on DICOM Standard at SZOTE}, booktitle = {Magyar Radiol{\'o}gusok T{\'a}rsas{\'a}ga XIX. Kongresszusa}, year = {1998}, month = {June 1998}, pages = {55}, publisher = {Magyar Radiol{\'o}gus T{\'a}rsas{\'a}g}, organization = {Magyar Radiol{\'o}gus T{\'a}rsas{\'a}g}, address = {Budapest}, abstract = {

SZOTE-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.

} } @conference {1034, title = {The Software of the Digital Picture Archiving and Communication System Based on DICOM Standard at SZOTE}, booktitle = {Magyar Radiol{\'o}gusok T{\'a}rsas{\'a}ga XIX. Kongresszusa}, year = {1998}, month = {June 1998}, pages = {55}, publisher = {Magyar Radiol{\'o}gus T{\'a}rsas{\'a}g}, organization = {Magyar Radiol{\'o}gus T{\'a}rsas{\'a}g}, address = {Budapest}, abstract = {

SZOTE-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.

} } @conference {1313, title = {The Software System of the Picture Archiving and Communication System in Szeged}, booktitle = {International Conference on Information Technology Interfaces (ITI)}, year = {1998}, month = {June 1998}, pages = {183 - 187}, publisher = {University of Zagreb}, organization = {University of Zagreb}, address = {Zagreb}, abstract = {

SZOTE-PACS is a joint software development for archiving andtransferring medical studies of the J{\'o}zsef Attila University and the Albert Szent-Gy{\"o}rgyi 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.

} } @conference {1029, title = {The Software System of the Picture Archiving and Communication System in Szeged}, booktitle = {International Conference on Information Technology Interfaces (ITI)}, year = {1998}, month = {1998.06.16}, pages = {183 - 187}, publisher = {University of Zagreb}, organization = {University of Zagreb}, address = {Zagreb}, abstract = {

SZOTE-PACS is a joint software development for archiving andtransferring medical studies of the J{\'o}zsef Attila University and the Albert Szent-Gy{\"o}rgyi 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.

} } @article {1087, title = {On Standardizing the MR Image Intensity Scale}, journal = {RADIOLOGY}, volume = {209}, year = {1998}, note = {84th Scientific Assembly and Annual Meeting of the RadiologicalSociety of North America (RSNA) Chicago, IL, USA, 1998.11.29-1998.12.04. }, month = {1998///}, pages = {581 - 582}, abstract = {PURPOSE: 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. }, isbn = {0033-8419} } @conference {1315, title = {Structure of the SZOTE-PACS}, booktitle = {Magyar Radiol{\'o}gusok T{\'a}rsas{\'a}ga XIX. Kongresszusa}, year = {1998}, month = {June 1998}, pages = {67}, publisher = {Magyar Radiol{\'o}gus T{\'a}rsas{\'a}g}, organization = {Magyar Radiol{\'o}gus T{\'a}rsas{\'a}g}, address = {Budapest}, abstract = {

Introduction: 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.

} } @conference {1032, title = {Structure of the SZOTE-PACS}, booktitle = {Magyar Radiol{\'o}gusok T{\'a}rsas{\'a}ga XIX. Kongresszusa}, year = {1998}, month = {June 1998}, pages = {67}, publisher = {Magyar Radiol{\'o}gus T{\'a}rsas{\'a}g}, organization = {Magyar Radiol{\'o}gus T{\'a}rsas{\'a}g}, address = {Budapest}, abstract = {

Introduction: 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.

} } @conference {1309, title = {Tapasztalatok a DICOM szabv{\'a}nnyal a SZOTE-PACS-ban}, booktitle = {A sz{\'a}m{\'\i}t{\'a}stechnika orvosi {\'e}s biol{\'o}giai alkalmaz{\'a}sai: A XXI. Neumann Kollokvium Kiadv{\'a}nya}, year = {1998}, month = {Nov 1998}, pages = {71 - 73}, publisher = {NJSZT}, organization = {NJSZT}, address = {Veszpr{\'e}m}, abstract = {

1995-ben, amikor a SZOTE-PACS fejleszt{\'e}se elkezd{\H o}d{\"o}tt, a DICOMszabv{\'a}nyt v{\'a}lasztottuk, mint k{\"o}z{\"o}s file form{\'a}tumot a vizsg{\'a}lati k{\'e}pek {\'a}tvitel{\'e}re. Ebben a cikkben a DICOM-mal kapcsolatos probl{\'e}m{\'a}inkat {\'e}s a megold{\'a}sokat fogjuk ismertetni. Tapasztalataink szerint a probl{\'e}m{\'a}k nagy r{\'e}sze a szabv{\'a}nynak a szoftver-gy{\'a}rt{\'o}k {\'a}ltal hib{\'a}s vagy hi{\'a}nyos megval{\'o}s{\'\i}t{\'a}s{\'a}val magyar{\'a}zhat{\'o}. Kis v{\'a}ltoztat{\'a}sok ut{\'a}n az adat{\'a}tvitel k{\"u}l{\"o}nb{\"o}z{\H o} rendszerek {\'e}s modalit{\'a}sok k{\"o}z{\"o}tt {\'a}ltal{\'a}ban sikeres volt. A szabv{\'a}nyt ellen{\H o}rz{\H o} {\'a}ltalunk fejlesztett eszk{\"o}z{\"o}k nagyban seg{\'\i}tett{\'e}k a munk{\'a}nkat ebben. K{\"u}l{\"o}n kit{\'e}r{\"u}nk a rendszerben haszn{\'a}lt automatikus m{\H u}veletek ismertet{\'e}s{\'e}re {\'e}s ezek tov{\'a}bbfejleszt{\'e}s{\'e}re.

} } @conference {1025, title = {Tapasztalatok a DICOM szabv{\'a}nnyal a SZOTE-PACS-ban}, booktitle = {A sz{\'a}m{\'\i}t{\'a}stechnika orvosi {\'e}s biol{\'o}giai alkalmaz{\'a}sai: A XXI. Neumann Kollokvium Kiadv{\'a}nya}, year = {1998}, month = {Nov 1998}, pages = {71 - 73}, publisher = {NJSZT}, organization = {NJSZT}, address = {Veszpr{\'e}m}, abstract = {

1995-ben, amikor a SZOTE-PACS fejleszt{\'e}se elkezd{\H o}d{\"o}tt, a DICOMszabv{\'a}nyt v{\'a}lasztottuk, mint k{\"o}z{\"o}s file form{\'a}tumot a vizsg{\'a}lati k{\'e}pek {\'a}tvitel{\'e}re. Ebben a cikkben a DICOM-mal kapcsolatos probl{\'e}m{\'a}inkat {\'e}s a megold{\'a}sokat fogjuk ismertetni. Tapasztalataink szerint a probl{\'e}m{\'a}k nagy r{\'e}sze a szabv{\'a}nynak a szoftver-gy{\'a}rt{\'o}k {\'a}ltal hib{\'a}s vagy hi{\'a}nyos megval{\'o}s{\'\i}t{\'a}s{\'a}val magyar{\'a}zhat{\'o}. Kis v{\'a}ltoztat{\'a}sok ut{\'a}n az adat{\'a}tvitel k{\"u}l{\"o}nb{\"o}z{\H o} rendszerek {\'e}s modalit{\'a}sok k{\"o}z{\"o}tt {\'a}ltal{\'a}ban sikeres volt. A szabv{\'a}nyt ellen{\H o}rz{\H o} {\'a}ltalunk fejlesztett eszk{\"o}z{\"o}k nagyban seg{\'\i}tett{\'e}k a munk{\'a}nkat ebben. K{\"u}l{\"o}n kit{\'e}r{\"u}nk a rendszerben haszn{\'a}lt automatikus m{\H u}veletek ismertet{\'e}s{\'e}re {\'e}s ezek tov{\'a}bbfejleszt{\'e}s{\'e}re.

} } @conference {1036, title = {Adatv{\'e}delem {\'e}s jogosults{\'a}g a SZOTE k{\'e}parchiv{\'a}l{\'o} {\'e}s tov{\'a}bb{\'\i}t{\'o} rendszer{\'e}benMagyar K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k Orsz{\'a}gos Konferenci{\'a}ja}, booktitle = {A K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k T{\'a}rsas{\'a}g{\'a}nak konferenci{\'a}ja - K{\'E}PAF 1997}, year = {1997}, month = {Oct 1997}, pages = {186 - 188}, publisher = {Pannon Agr{\'a}rtudom{\'a}nyi Egyetem Georgikon Mez{\H o}gazdas{\'a}gtudom{\'a}nyi Kar}, organization = {Pannon Agr{\'a}rtudom{\'a}nyi Egyetem Georgikon Mez{\H o}gazdas{\'a}gtudom{\'a}nyi Kar}, address = {Keszthely}, abstract = {

Egy tervet ismertet{\"u}nk, amellyel orvosi k{\'e}parchiv{\'a}l{\'o}- {\'e}stov{\'a}bb{\'\i}t{\'o} rendszerek adatv{\'e}delme {\'e}s jogosults{\'a}ga biztos{\'\i}that{\'o} nyilv{\'a}nos sz{\'a}m{\'\i}t{\'o}g{\'e}pes h{\'a}l{\'o}zatok eset{\'e}n is. A v{\'e}delem azon alapszik, hogy a h{\'a}l{\'o}zatba k{\"u}ld{\"o}tt {\"u}zeneteket a DICOM protokoll megfelel{\H o} szintj{\'e}n k{\"u}doljuk. A jogosults{\'a}g ellen{\H o}rz{\'e}s{\'e}t pedig egy {\'u}j, a DICOM protokollba be{\'e}p{\'\i}tett parancs-p{\'a}r teszi lehet{\H o}v{\'e}.

} } @conference {1319, title = {Adatv{\'e}delem {\'e}s jogosults{\'a}g a SZOTE k{\'e}parchiv{\'a}l{\'o} {\'e}s tov{\'a}bb{\'\i}t{\'o} rendszer{\'e}ben}, booktitle = {A K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k T{\'a}rsas{\'a}g{\'a}nak konferenci{\'a}ja - K{\'E}PAF 1997}, year = {1997}, month = {Oct 1997}, pages = {186 - 188}, publisher = {Pannon Agr{\'a}rtudom{\'a}nyi Egyetem Georgikon Mez{\H o}gazdas{\'a}gtudom{\'a}nyi Kar}, organization = {Pannon Agr{\'a}rtudom{\'a}nyi Egyetem Georgikon Mez{\H o}gazdas{\'a}gtudom{\'a}nyi Kar}, address = {Keszthely}, abstract = {

Egy tervet ismertet{\"u}nk, amellyel orvosi k{\'e}parchiv{\'a}l{\'o}- {\'e}stov{\'a}bb{\'\i}t{\'o} rendszerek adatv{\'e}delme {\'e}s jogosults{\'a}ga biztos{\'\i}that{\'o} nyilv{\'a}nos sz{\'a}m{\'\i}t{\'o}g{\'e}pes h{\'a}l{\'o}zatok eset{\'e}n is. A v{\'e}delem azon alapszik, hogy a h{\'a}l{\'o}zatba k{\"u}ld{\"o}tt {\"u}zeneteket a DICOM protokoll megfelel{\H o} szintj{\'e}n k{\"u}doljuk. A jogosults{\'a}g ellen{\H o}rz{\'e}s{\'e}t pedig egy {\'u}j, a DICOM protokollba be{\'e}p{\'\i}tett parancs-p{\'a}r teszi lehet{\H o}v{\'e}.

} } @article {1089, title = {Modul{\'a}ris DICOM-alap{\'u} k{\'e}p-archiv{\'a}l{\'o} {\'e}s -tov{\'a}bb{\'\i}t{\'o} rendszer a SZOTE-n}, journal = {MAGYAR RADIOL{\'O}GIA}, volume = {71}, year = {1997}, note = {A Magyar Orvostudom{\'a}nyi Nukle{\'a}ris T{\'a}rsas{\'a}g X. Kongresszus{\'a}nakabsztraktjai B{\"u}kf{\"u}rd{\H o}, 1997. szeptember 25-27. }, month = {1997///}, pages = {6}, abstract = {T{\"o}bb{\'e}ves fejleszt{\'e}si munka eredm{\'e}nyek{\'e}nt elk{\'e}sz{\"u}lt a SZOTE k{\'e}p-archiv{\'a}l{\'o} {\'e}s -tov{\'a}bb{\'\i}t{\'o} rendszere, a SZOTE-PACS (Picture Archiving and Communication Systems - PACS). Olyan rendszert k{\'e}sz{\'\i}tett{\"u}nk, amely csaknem valamennyi modalit{\'a}sr{\'o}l k{\'e}pes vizsg{\'a}latokat begy{\H u}jteni, azokat szabv{\'a}nyos DICOm form{\'a}ra {\'a}tkonvert{\'a}lni, a k{\"o}zponti szerverre {\'a}tk{\"u}ldeni, ott archiv{\'a}lni {\'e}s a k{\"u}l{\"o}nb{\"o}z{\H o} megjelen{\'\i}t{\H o} {\'e}s feldolgoz{\'o} {\'a}llom{\'a}sokr{\'o}l ig{\'e}nyelt vizsg{\'a}latokat az Arch{\'\i}vumb{\'o}l kiadni. A SZOTE-PACS t{\"o}bbf{\'e}le sz{\'a}m{\'\i}t{\'o}g{\'e}pes platformon (UNIX, PC, Amiga) k{\'e}pes m{\H u}k{\"o}dni. Egys{\'e}ges grafikus felhaszn{\'a}l{\'o}i fel{\"u}let seg{\'\i}ti a felhaszn{\'a}l{\'o}k munk{\'a}j{\'a}t. A modul{\'a}ris fel{\'e}p{\'\i}t{\'e}s lehet{\H o}v{\'e} teszi, hogy a k{\"u}l{\"o}nf{\'e}le alrendszerek on{\'a}ll{\'o}an v{\'e}gezzenek el feladatokat (pl. adatgy{\H u}jt{\'e}s {\'e}s -konverzi{\'o}, archiv{\'a}l{\'a}s, feldolgoz{\'a}s {\'e}s megjelen{\'\i}t{\'e}s). Az Arch{\'\i}vumban val{\'o} keres{\'e}st Oracle adatb{\'a}ziskezel{\H o} seg{\'\i}ti. Ugyancsak az Oracle seg{\'\i}ts{\'e}g{\'e}vel oldottuk meg az Arch{\'\i}vum adatv{\'e}delm{\'e}t az{\'a}ltal, hogy csak a megfelel{\H o} jogosults{\'a}ggal rendelkez{\H o} felhaszn{\'a}l{\'o}k f{\'e}rhetnek hozz{\'a} az Arch{\'\i}vum sz{\'a}mukra enged{\'e}lyezett r{\'e}sz{\'e}hez. A SZOTE-PACS t{\'a}mogatja a demonstr{\'a}ci{\'o}s (oktat{\'a}si, kutat{\'a}si) anyagok k{\'e}sz{\'\i}t{\'e}s{\'e}t az{\'a}ltal, hogy a vizsg{\'a}latok (k{\'e}pek, sz{\"o}vegek, numerikus adatok) HTML form{\'a}tum{\'u} kivitel{\'e}t is lehet{\H o}v{\'e} teszi. }, isbn = {0025-0287} } @article {1356, title = {Modul{\'a}ris DICOM-alap{\'u} k{\'e}p-archiv{\'a}l{\'o} {\'e}s -tov{\'a}bb{\'\i}t{\'o} rendszer a SZOTE-n}, journal = {MAGYAR RADIOL{\'O}GIA}, volume = {71}, year = {1997}, note = {A Magyar Orvostudom{\'a}nyi Nukle{\'a}ris T{\'a}rsas{\'a}g X. Kongresszus{\'a}nakabsztraktjai B{\"u}kf{\"u}rd{\H o}, 1997. szeptember 25-27. }, month = {1997}, pages = {6}, abstract = {T{\"o}bb{\'e}ves fejleszt{\'e}si munka eredm{\'e}nyek{\'e}nt elk{\'e}sz{\"u}lt a SZOTE k{\'e}p-archiv{\'a}l{\'o} {\'e}s -tov{\'a}bb{\'\i}t{\'o} rendszere, a SZOTE-PACS (Picture Archiving and Communication Systems - PACS). Olyan rendszert k{\'e}sz{\'\i}tett{\"u}nk, amely csaknem valamennyi modalit{\'a}sr{\'o}l k{\'e}pes vizsg{\'a}latokat begy{\H u}jteni, azokat szabv{\'a}nyos DICOm form{\'a}ra {\'a}tkonvert{\'a}lni, a k{\"o}zponti szerverre {\'a}tk{\"u}ldeni, ott archiv{\'a}lni {\'e}s a k{\"u}l{\"o}nb{\"o}z{\H o} megjelen{\'\i}t{\H o} {\'e}s feldolgoz{\'o} {\'a}llom{\'a}sokr{\'o}l ig{\'e}nyelt vizsg{\'a}latokat az Arch{\'\i}vumb{\'o}l kiadni. A SZOTE-PACS t{\"o}bbf{\'e}le sz{\'a}m{\'\i}t{\'o}g{\'e}pes platformon (UNIX, PC, Amiga) k{\'e}pes m{\H u}k{\"o}dni. Egys{\'e}ges grafikus felhaszn{\'a}l{\'o}i fel{\"u}let seg{\'\i}ti a felhaszn{\'a}l{\'o}k munk{\'a}j{\'a}t. A modul{\'a}ris fel{\'e}p{\'\i}t{\'e}s lehet{\H o}v{\'e} teszi, hogy a k{\"u}l{\"o}nf{\'e}le alrendszerek on{\'a}ll{\'o}an v{\'e}gezzenek el feladatokat (pl. adatgy{\H u}jt{\'e}s {\'e}s -konverzi{\'o}, archiv{\'a}l{\'a}s, feldolgoz{\'a}s {\'e}s megjelen{\'\i}t{\'e}s). Az Arch{\'\i}vumban val{\'o} keres{\'e}st Oracle adatb{\'a}ziskezel{\H o} seg{\'\i}ti. Ugyancsak az Oracle seg{\'\i}ts{\'e}g{\'e}vel oldottuk meg az Arch{\'\i}vum adatv{\'e}delm{\'e}t az{\'a}ltal, hogy csak a megfelel{\H o} jogosults{\'a}ggal rendelkez{\H o} felhaszn{\'a}l{\'o}k f{\'e}rhetnek hozz{\'a} az Arch{\'\i}vum sz{\'a}mukra enged{\'e}lyezett r{\'e}sz{\'e}hez. A SZOTE-PACS t{\'a}mogatja a demonstr{\'a}ci{\'o}s (oktat{\'a}si, kutat{\'a}si) anyagok k{\'e}sz{\'\i}t{\'e}s{\'e}t az{\'a}ltal, hogy a vizsg{\'a}latok (k{\'e}pek, sz{\"o}vegek, numerikus adatok) HTML form{\'a}tum{\'u} kivitel{\'e}t is lehet{\H o}v{\'e} teszi. }, isbn = {0025-0287} } @conference {1035, title = {Orvosi k{\'e}parchiv{\'a}l{\'o} {\'e}s tov{\'a}bb{\'\i}t{\'o} rendszer szoftvere}, booktitle = {A K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k T{\'a}rsas{\'a}g{\'a}nak konferenci{\'a}ja - K{\'E}PAF 1997}, year = {1997}, month = {1997.10.09}, pages = {189 - 193}, publisher = {Pannon Agr{\'a}rtudom{\'a}nyi Egyetem Georgikon Mez{\H o}gazdas{\'a}gtudom{\'a}nyi Kar}, organization = {Pannon Agr{\'a}rtudom{\'a}nyi Egyetem Georgikon Mez{\H o}gazdas{\'a}gtudom{\'a}nyi Kar}, address = {Keszthely}, abstract = {

Az ismertetend{\H o} k{\'e}parchiv{\'a}l{\'o} {\'e}s -tov{\'a}bb{\'\i}t{\'o} rendszer a szegediOrvostudom{\'a}nyi Egyetem sz{\'a}m{\'a}ra k{\'e}sz{\"u}lt. A fejleszt{\'e}s f{\H o} c{\'e}lja az volt, hogy egy olyan rendszert {\'a}ll{\'\i}tsunk el{\H o}, amely {\"o}sszegy{\'a}jti a k{\"u}l{\"o}nb{\"o}z{\H o} k{\'e}pfelvev{\H o} berendez{\'e}sek (pl. CT, MR, NM, SPECT, US) {\'a}ltal el{\H o}{\'a}ll{\'\i}tott beteg vizsg{\'a}latokat. A SZOTE-PACS a vizsg{\'a}latokat DICOM szabv{\'a}ny szerint archiv{\'a}lja Oracle adatb{\'a}zis kezel{\H o} rendszerrel. Ezeket a vizsg{\'a}latokat a felhaszn{\'a}l{\'o}k lek{\'e}rhetik az arch{\'\i}vumb{\'o}l egy k{\"o}nnyen haszn{\'a}lhat{\'o} grafikus fel{\"u}lettel rendelkez{\H o} programmal. Az adatb{\'a}zisban t{\'a}rolt k{\'e}peket {\'e}s egy{\'e}b inform{\'a}ci{\'o}kat fel lehet haszn{\'a}lni oktat{\'a}si anyag k{\'e}sz{\'\i}t{\'e}s{\'e}hez az orvostanhallgat{\'o}k sz{\'a}m{\'a}ra.

} } @conference {1318, title = {Orvosi k{\'e}parchiv{\'a}l{\'o} {\'e}s tov{\'a}bb{\'\i}t{\'o} rendszer szoftvere}, booktitle = {Magyar K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k Orsz{\'a}gos Konferenci{\'a}ja}, year = {1997}, month = {1997.10.09}, pages = {189 - 193}, publisher = {Pannon Agr{\'a}rtudom{\'a}nyi Egyetem Georgikon Mez{\H o}gazdas{\'a}gtudom{\'a}nyi Kar}, organization = {Pannon Agr{\'a}rtudom{\'a}nyi Egyetem Georgikon Mez{\H o}gazdas{\'a}gtudom{\'a}nyi Kar}, address = {Keszthely}, abstract = {

Az ismertetend{\H o} k{\'e}parchiv{\'a}l{\'o} {\'e}s -tov{\'a}bb{\'\i}t{\'o} rendszer a szegediOrvostudom{\'a}nyi Egyetem sz{\'a}m{\'a}ra k{\'e}sz{\"u}lt. A fejleszt{\'e}s f{\H o} c{\'e}lja az volt, hogy egy olyan rendszert {\'a}ll{\'\i}tsunk el{\H o}, amely {\"o}sszegy{\'a}jti a k{\"u}l{\"o}nb{\"o}z{\H o} k{\'e}pfelvev{\H o} berendez{\'e}sek (pl. CT, MR, NM, SPECT, US) {\'a}ltal el{\H o}{\'a}ll{\'\i}tott beteg vizsg{\'a}latokat. A SZOTE-PACS a vizsg{\'a}latokat DICOM szabv{\'a}ny szerint archiv{\'a}lja Oracle adatb{\'a}zis kezel{\H o} rendszerrel. Ezeket a vizsg{\'a}latokat a felhaszn{\'a}l{\'o}k lek{\'e}rhetik az arch{\'\i}vumb{\'o}l egy k{\"o}nnyen haszn{\'a}lhat{\'o} grafikus fel{\"u}lettel rendelkez{\H o} programmal. Az adatb{\'a}zisban t{\'a}rolt k{\'e}peket {\'e}s egy{\'e}b inform{\'a}ci{\'o}kat fel lehet haszn{\'a}lni oktat{\'a}si anyag k{\'e}sz{\'\i}t{\'e}s{\'e}hez az orvostanhallgat{\'o}k sz{\'a}m{\'a}ra.

} } @conference {1037, title = {Problems and Solutions: One Year Experience with SZOTE-PACS}, booktitle = {15th EuroPACS Annual Meeting}, year = {1997}, month = {Sep 1997}, pages = {39 - 42}, publisher = {*}, organization = {*}, address = {Pisa}, abstract = {

In 1995 when the development of the SZOTE-PACS (PACS of theAlbert Szent-Gy{\"o}rgyi 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.

} } @conference {1320, title = {Problems and Solutions: One Year Experience with SZOTE-PACS}, booktitle = {15th EuroPACS Annual Meeting}, year = {1997}, month = {Sep 1997}, pages = {39 - 42}, publisher = {*}, organization = {*}, address = {Pisa, Italy}, abstract = {

In 1995 when the development of the SZOTE-PACS (PACS of theAlbert Szent-Gy{\"o}rgyi 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.

} } @conference {906, title = {DICOM Based PACS and Its Application in the Education}, booktitle = {International EuroPACS Meeting, EuroPACS {\textquoteright}96}, year = {1996}, month = {Oct 1996}, pages = {46 - 49}, type = {Conference paper}, abstract = {

SZOTE-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.

} } @conference {1327, title = {DICOM Based PACS and Its Application in the Education}, booktitle = {International EuroPACS Meeting, EuroPACS {\textquoteright}96}, year = {1996}, month = {Oct 1996}, pages = {46 - 49}, abstract = {

SZOTE-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.

} } @conference {1041, title = {A DICOM szabv{\'a}ny megval{\'o}s{\'\i}t{\'a}sa {\'e}s alkalmaz{\'a}sai}, booktitle = {A sz{\'a}m{\'\i}t{\'a}stechnika orvosi {\'e}s biol{\'o}giai alkalmaz{\'a}sai: A XX. Neumann Kollokvium Kiadv{\'a}nya}, year = {1996}, month = {Nov 1996}, pages = {177 - 180}, publisher = {NJSZT}, organization = {NJSZT}, address = {Budapest}, abstract = {

A DICOM (Digital Imaging and COmmunication in Medicine) azorvosi vizsg{\'a}latok k{\'e}peinek (CT, NM, MR, SPECT stb.) {\'e}s egy{\'e}b adatainak t{\'a}rol{\'a}s{\'a}t {\'e}s a sz{\'a}m{\'\i}t{\'o}g{\'e}pes h{\'a}l{\'o}zaton kereszt{\"u}l t{\"o}rt{\'e}n{\H o} {\'a}tvitel{\'e}t le{\'\i}r{\'o} {\'u}j szabv{\'a}ny, amely ma m{\'a}r {\'a}ltal{\'a}nosan elfogadott{\'a} v{\'a}lt a gy{\'a}rt{\'o}k {\'e}s a felhaszn{\'a}l{\'o}k k{\"o}r{\'e}ben egyar{\'a}nt. Ez a szabv{\'a}ny meghat{\'a}rozza a k{\"u}l{\"o}nf{\'e}le inform{\'a}ci{\'o}s objektumok (k{\'e}pek, vizsg{\'a}lati {\'e}s beteg adatok stb.) t{\'a}rol{\'a}si form{\'a}tum{\'a}t, az azokhoz kapcsol{\'o}d{\'o} m{\'a}veleteket (l{\'e}trehoz{\'a}s, t{\"o}rl{\'e}s stb.) {\'e}s a h{\'a}l{\'o}zati kommunik{\'a}ci{\'o} m{\'o}dj{\'a}t is. Az {\'u}j szabv{\'a}ny megalkot{\'a}s{\'a}nak c{\'e}lja az volt, hogy egys{\'e}ges kapcsol{\'o}d{\'a}si lehet{\H o}s{\'e}get biztos{\'\i}tson a k{\"u}l{\"o}nf{\'e}le orvosi k{\'e}palkot{\'o} berendez{\'e}sek sz{\'a}m{\'a}ra. A DICOM szabv{\'a}nynak megfelel{\H o} modalit{\'a}sok {\'e}s sz{\'a}m{\'\i}t{\'o}g{\'e}pek a TCP/IP kommunik{\'a}ci{\'o}s protokol szerint (pl. az Interneten kereszt{\"u}l) k{\'e}pesek vizsg{\'a}lati adatokat tov{\'a}bb{\'\i}tani egym{\'a}snak. T{\"o}bb mint k{\'e}t {\'e}ve foly{\'o} fejleszt{\'e}si munk{\'a}nk c{\'e}lja egy olyan DICOM programcsomag kifejleszt{\'e}se volt, amely a szabv{\'a}ny elterjed{\'e}s{\'e}hez ny{\'u}jt seg{\'\i}ts{\'e}get. {\'I}gy p{\'e}ld{\'a}ul sz{\"u}ks{\'e}g van olyan konverzi{\'o}s programokra, amelyek biztos{\'\i}tj{\'a}k a r{\'e}gi, elterjedt form{\'a}tumban (interfile, ACR-NEMA) megadott vizsg{\'a}latok {\'a}talak{\'\i}t{\'a}s{\'a}t egys{\'e}gesen DICOM form{\'a}tumra. Hasonl{\'o}k{\'e}ppek fontos a DICOM form{\'a}tum{\'u} objektumok beolvas{\'a}sa, m{\'o}dos{\'\i}t{\'a}sa, list{\'a}z{\'a}sa {\'e}s ki{\'\i}r{\'a}sa. Az alapvet{\H o} feladatok elv{\'e}gz{\'e}s{\'e}re k{\'e}sz{\'\i}tett{\"u}nk egy szubrutin gy{\H u}jtem{\'e}nyt. Erre {\'e}p{\'\i}tve {\'\i}rtunk konverzi{\'o}s programokat, k{\"u}l{\"o}nb{\"o}z{\H o} seg{\'e}dprogramokat {\'e}s felhaszn{\'a}l{\'o}-bar{\'a}t, grafikus fel{\"u}lettel rendelkez{\H o} szerkeszt{\H o} programokat. Az {\"o}sszes komponenes m{\H u}k{\"o}dik PC-s {\'e}s UNIX-os platformon egyar{\'a}nt. A modul{\'a}ris fel{\'e}p{\'\i}t{\'e}snek {\'e}s a szabv{\'a}ny-le{\'\i}r{\'a}sok speci{\'a}lis t{\'a}rol{\'a}s{\'a}nak k{\"o}sz{\"o}nhet{\H o}en a programok k{\"o}nnyen igaz{\'\i}that{\'o}k lesznek a DICOM k{\'e}s{\H o}bbi m{\'o}dos{\'\i}t{\'a}saihoz, b{\H o}v{\'\i}t{\'e}seihez. Az elv{\'e}gzett tesztek azt mutatj{\'a}k, hogy az {\'a}ltalunk el{\H o}{\'a}ll{\'\i}tott DICOM objektumok megfelelnek a szabv{\'a}nynak. Az eddig elk{\'e}sz{\"u}lt programok a fejleszt{\'e}s alatt l{\'e}v{\H o} SZOTE-PACS-ben {\'e}s a MicroSegams rendszerben ker{\"u}ltek felhaszn{\'a}l{\'a}sra.

} } @inbook {1039, title = {Educational PACS at the Medical University in Szeged}, booktitle = {CAR {\textquoteright}96 - Computer Assisted Radiology}, year = {1996}, note = {http://www.inf.u-szeged.hu/~kuba/pacs.html}, month = {1996///}, pages = {1027}, publisher = {Elsevier Science Publishers}, organization = {Elsevier Science Publishers}, address = {Amsterdam}, abstract = {This 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. } } @inbook {1325, title = {K{\'e}p-archiv{\'a}l{\'o} {\'e}s tov{\'a}bb{\'\i}t{\'o} rendszer szoftver{\'e}nek fejleszt{\'e}se (SZOTE-PACS)}, booktitle = {Informatika a fels{\H o}oktat{\'a}sban {\textquoteright}96 {\'e}s Networkshop {\textquoteright}96}, year = {1996}, month = {1996}, pages = {1186 - 1192}, publisher = {Debreceni Egyetem}, organization = {Debreceni Egyetem}, address = {Debrecen}, abstract = {The 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. } } @inbook {1040, title = {K{\'e}p-archiv{\'a}l{\'o} {\'e}s tov{\'a}bb{\'\i}t{\'o} rendszer szoftver{\'e}nek fejleszt{\'e}se (SZOTE-PACS)}, booktitle = {Informatika a fels{\H o}oktat{\'a}sban {\textquoteright}96 {\'e}s Networkshop {\textquoteright}96}, year = {1996}, month = {1996///}, pages = {1186 - 1192}, publisher = {Debreceni Egyetem}, organization = {Debreceni Egyetem}, address = {Debrecen}, abstract = {The 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. } } @article {1306, title = {Micsoda {\'e}s mire j{\'o} a DICOM-3.0?}, journal = {MAGYAR RADIOL{\'O}GIA}, volume = {70}, year = {1996}, month = {1996}, pages = {67 - 72}, isbn = {0025-0287} } @article {1021, title = {Micsoda {\'e}s mire j{\'o} a DICOM-3.0?}, journal = {MAGYAR RADIOL{\'O}GIA}, volume = {70}, year = {1996}, month = {1996///}, pages = {67 - 72}, isbn = {0025-0287} } @conference {1329, title = {Orvosi inform{\'a}ci{\'o}s rendszerek a Szent-Gy{\"o}rgyi Albert Orvostudom{\'a}nyi Egyetemen: RIS, HIS {\'e}s PACS. Inform{\'a}ci{\'o}csere a rendszerek k{\"o}z{\"o}tt.}, volume = {A sz{\'a}m{\'\i}t{\'a}stechnika orvosi {\'e}s biol{\'o}giai alkalmaz{\'a}sai: A XX. Neumann Kollokvium Kiadv{\'a}nya}, year = {1996}, month = {1996.11.14}, pages = {184 - 186}, publisher = {NJSZT}, organization = {NJSZT}, address = {Budapest}, abstract = {

Radiol{\'o}gi{\'a}val kapcsolatos sz{\"o}veges {\'e}s k{\'e}pi inform{\'a}ci{\'o}katEgyetem{\"u}nk{\"o}n t{\"o}bb auton{\'o}m inform{\'a}ci{\'o}s rendszer kezel. Ilyen az eg{\'e}szs{\'e}g{\"u}gyi szolg{\'a}ltat{\'a}sokkal {\"o}sszef{\"u}gg{\H o} adminisztrat{\'\i}v {\'e}s klinikai inform{\'a}ci{\'o}k szervez{\'e}s{\'e}re szolg{\'a}l{\'o} k{\'o}rh{\'a}zi inform{\'a}ci{\'o}s rendszer (HIS), a radiol{\'o}giai szolg{\'a}ltat{\'a}sokat kezel{\H o} inform{\'a}ci{\'o}s rendszer (RIS) {\'e}s a digit{\'a}lis k{\'e}ptov{\'a}bb{\'\i}t{\'o}, k{\'e}pt{\'a}rol{\'o} {\'e}s visszakeres{\H o} rendszer (PACS). A rendszerek k{\"o}z{\"o}tti inform{\'a}ci{\'o}csere sarkalatos probl{\'e}ma. A RIS- b{\H o}l inform{\'a}ci{\'o}t kell {\'a}tvenni a PCS-ba. A HIS rendel{\'e}seinek sz{\'a}m{\'\i}t{\'o}g{\'e}pes kezel{\'e}se sz{\"u}ks{\'e}gess{\'e} teszi a RIS-hez t{\"o}rt{\'e}n{\H o} kapcsolat kialak{\'\i}t{\'a}s{\'a}t. A RIS {\'e}s a PACS k{\"o}z{\"o}tt egy ut. SQL gateway biztos{\'\i}tja az inform{\'a}ci{\'o}cser{\'e}t. A gateway program figyeli a UNIX alap{\'u} k{\'e}pszerverr{\H o}l sz{\"o}vegf{\'a}jlban j{\"o}v{\H o} szabv{\'a}nyos SQL k{\'e}r{\'e}seket, tov{\'a}bb{\'\i}tja a RIS Novell szervere fel{\'e} {\'e}s a lek{\'e}rdez{\'e}s eredm{\'e}ny{\'e}t visszak{\"u}ldi. A RIS {\'e}s HIS k{\"o}z{\"o}tti gateway program az AS400 {\'e}s RIS szerver k{\"o}z{\"o}tt tartja a kapcsolatot, az inform{\'a}ci{\'o}csere DBF f{\'a}jlok seg{\'\i}ts{\'e}g{\'e}vel folyik. V{\'e}gleges megold{\'a}st csak a szabv{\'a}nyos{\'\i}t{\'a}s hozhat. Az {\'a}ltalunk fejlesztett PACS m{\'a}r DICOM konform, dolgozunk a RIS DICOM konformm{\'a} t{\'e}tel{\'e}n. Mivel a DICOm tartalmazza a k{\'e}palkot{\'o} berendez{\'e}sek, a PACS {\'e}s a HIS/RIS kapcsolatot le{\'\i}r{\'o} szabv{\'a}nyt, alkalmaz{\'a}sa lehet{\H o}v{\'e} teszi a rendszerek k{\"o}z{\"o}tti k{\"o}zvetlen inform{\'a}ci{\'o}cser{\'e}t.

} } @conference {1042, title = {Orvosi inform{\'a}ci{\'o}s rendszerek a Szent-Gy{\"o}rgyi Albert Orvostudom{\'a}nyi Egyetemen: RIS, HIS {\'e}s PACS. Inform{\'a}ci{\'o}csere a rendszerek k{\"o}z{\"o}tt.}, booktitle = {A sz{\'a}m{\'\i}t{\'a}stechnika orvosi {\'e}s biol{\'o}giai alkalmaz{\'a}sai: A XX. Neumann Kollokvium Kiadv{\'a}nya}, year = {1996}, month = {Nov 1996}, pages = {184 - 186}, publisher = {NJSZT}, organization = {NJSZT}, address = {Budapest}, abstract = {

Radiol{\'o}gi{\'a}val kapcsolatos sz{\"o}veges {\'e}s k{\'e}pi inform{\'a}ci{\'o}katEgyetem{\"u}nk{\"o}n t{\"o}bb auton{\'o}m inform{\'a}ci{\'o}s rendszer kezel. Ilyen az eg{\'e}szs{\'e}g{\"u}gyi szolg{\'a}ltat{\'a}sokkal {\"o}sszef{\"u}gg{\H o} adminisztrat{\'\i}v {\'e}s klinikai inform{\'a}ci{\'o}k szervez{\'e}s{\'e}re szolg{\'a}l{\'o} k{\'o}rh{\'a}zi inform{\'a}ci{\'o}s rendszer (HIS), a radiol{\'o}giai szolg{\'a}ltat{\'a}sokat kezel{\H o} inform{\'a}ci{\'o}s rendszer (RIS) {\'e}s a digit{\'a}lis k{\'e}ptov{\'a}bb{\'\i}t{\'o}, k{\'e}pt{\'a}rol{\'o} {\'e}s visszakeres{\H o} rendszer (PACS). A rendszerek k{\"o}z{\"o}tti inform{\'a}ci{\'o}csere sarkalatos probl{\'e}ma. A RIS- b{\H o}l inform{\'a}ci{\'o}t kell {\'a}tvenni a PCS-ba. A HIS rendel{\'e}seinek sz{\'a}m{\'\i}t{\'o}g{\'e}pes kezel{\'e}se sz{\"u}ks{\'e}gess{\'e} teszi a RIS-hez t{\"o}rt{\'e}n{\H o} kapcsolat kialak{\'\i}t{\'a}s{\'a}t. A RIS {\'e}s a PACS k{\"o}z{\"o}tt egy ut. SQL gateway biztos{\'\i}tja az inform{\'a}ci{\'o}cser{\'e}t. A gateway program figyeli a UNIX alap{\'u} k{\'e}pszerverr{\H o}l sz{\"o}vegf{\'a}jlban j{\"o}v{\H o} szabv{\'a}nyos SQL k{\'e}r{\'e}seket, tov{\'a}bb{\'\i}tja a RIS Novell szervere fel{\'e} {\'e}s a lek{\'e}rdez{\'e}s eredm{\'e}ny{\'e}t visszak{\"u}ldi. A RIS {\'e}s HIS k{\"o}z{\"o}tti gateway program az AS400 {\'e}s RIS szerver k{\"o}z{\"o}tt tartja a kapcsolatot, az inform{\'a}ci{\'o}csere DBF f{\'a}jlok seg{\'\i}ts{\'e}g{\'e}vel folyik. V{\'e}gleges megold{\'a}st csak a szabv{\'a}nyos{\'\i}t{\'a}s hozhat. Az {\'a}ltalunk fejlesztett PACS m{\'a}r DICOM konform, dolgozunk a RIS DICOM konformm{\'a} t{\'e}tel{\'e}n. Mivel a DICOm tartalmazza a k{\'e}palkot{\'o} berendez{\'e}sek, a PACS {\'e}s a HIS/RIS kapcsolatot le{\'\i}r{\'o} szabv{\'a}nyt, alkalmaz{\'a}sa lehet{\H o}v{\'e} teszi a rendszerek k{\"o}z{\"o}tti k{\"o}zvetlen inform{\'a}ci{\'o}cser{\'e}t.

} } @conference {1328, title = {SZOTE-PACS: A Szent-Gy{\"o}rgyi Albert Orvostudom{\'a}nyi Egyetem k{\'e}parchiv{\'a}l{\'o} {\'e}s tov{\'a}bb{\'\i}t{\'o} rendszer{\'e}nek szoftvere}, booktitle = {A sz{\'a}m{\'\i}t{\'a}stechnika orvosi {\'e}s biol{\'o}giai alkalmaz{\'a}sai: A XX. Neumann Kollokvium Kiadv{\'a}nya}, year = {1996}, month = {Nov 1996}, pages = {173 - 176}, publisher = {NJSZT}, organization = {NJSZT}, address = {Veszpr{\'e}m}, abstract = {

A Szent-Gy{\"o}rgyi Albert Orvostudom{\'a}nyi Egyetem k{\'e}p-archiv{\'a}l{\'o} {\'e}s -tov{\'a}bb{\'\i}t{\'o} rendszer (SZOTE-PACS) szoftver{\'e}nek a fejleszt{\'e}s{\'e}t ismertetj{\"u}k el{\H o}ad{\'a}sunkban. A c{\'e}l egy olyan sz{\'a}m{\'\i}t{\'o}g{\'e}pes h{\'a}l{\'o}zat elk{\'e}sz{\'\i}t{\'e}se, amely nemcsak a klinikai vizsg{\'a}latok k{\'e}peinek t{\'a}rol{\'a}s{\'a}val {\'e}s {\'a}tvitel{\'e}vel kapcsolatos feladatokat l{\'a}tja el, de t{\'a}mogatja az oktat{\'a}si {\'e}s konzult{\'a}ci{\'o}s tev{\'e}kenys{\'e}g{\'e}eket is. A SZOTE-PACS 3 r{\'e}szre bonthat{\'o}: k{\'e}pfelvev{\H o}, archiv{\'a}l{\'o} {\'e}s megjelen{\'\i}t{\H o} {\'a}llom{\'a}sokra. A k{\'e}pfelvev{\H o} munka{\'a}llom{\'a}soknak kett{\H o}s feladata van: egyr{\'e}szt a k{\"u}l{\"o}nf{\'e}le modalit{\'a}sokon (CT, MR, NM, US {\'e}s SPECT) vagy r{\"o}ntgenfilm-scanneren felvett, illetve a DICOM- szabv{\'a}nynak megfelel{\H o} {\'a}llom{\'a}sr{\'o}l be{\'e}rkez{\H o} vizsg{\'a}latok begy{\H u}jt{\'e}se, m{\'a}sr{\'e}szt az Interfile 3.3, ACR-NEMA 2.0 vagy TIFF form{\'a}tum{\'u} vizsg{\'a}latok DICOM form{\'a}tumra val{\'o} automatikus konvert{\'a}l{\'a}sa. A rendszer k{\'e}pes a Radiol{\'o}giai Klinika Inform{\'a}ci{\'o}s Rendszer{\'e}ben (RIS) lev{\H o} inform{\'a}ci{\'o}k {\'a}tv{\'e}tel{\'e}re {\'e}s be{\'e}p{\'\i}t{\'e}s{\'e}re is. Az {\'\i}gy el{\H o}k{\'e}sz{\'\i}tett vizsg{\'a}latok {\'a}tk{\"u}ldhet{\H o}k a k{\"o}zponti szerverre, ahol azok az arch{\'\i}vumban automatiksan t{\'a}rol{\'o}dnak. A jelenlegi diszk kapacit{\'a}s mellett 15 napig {\H o}rizz{\"u}k a vizsg{\'a}latokat. A tervek szerint 15 nap ut{\'a}n csak a k{\'e}peket t{\"o}r{\"o}lj{\"u}k a szerverr{\H o}l, a vizsg{\'a}lat egy{\'e}b (nem k{\'e}pi) adatai tov{\'a}bbra is meg{\H o}rz{\'e}sre ker{\"u}lnek. Az arch{\'\i}vumban Oracle adatb{\'a}zis keze{\'e}{\H o} rendszer seg{\'\i}ti a visszakeres{\'e}st, a mejelen{\'\i}t{\'e}st {\'e}s a m{\'o}dos{\'\i}t{\'a}st. A feldolgoz{\'o} munka{\'a}llom{\'a}sokra (PC-k, UNOX-{\'a}llom{\'a}sok vagy X-termin{\'a}lok) k{\'e}rheti le a felhaszn{\'a}l{\'o} a szerveren t{\'a}rolt vizsg{\'a}latokat. Itt jelen{\'\i}thet{\H o}k meg illetve dolgozhat{\'o}k fel a vizsg{\'a}latok k{\'e}pei. Az orvostanhallgat{\'o}k {\'e}s doktoranduszok k{\'e}pz{\'e}s{\'e}re HTML-ben {\'\i}rt oktat{\'a}si anyagok {\'a}ll{\'\i}that{\'o}k {\"o}ssze a t{\'a}rolt sz{\"o}veges {\'e}s k{\'e}pi adatokb{\'o}l. Az oktat{\'a}si anyagokat a rendszer k{\"u}l{\"o}n adatb{\'a}zisban t{\'a}rolja.

} } @conference {907, title = {SZOTE-PACS: A Szent-Gy{\"o}rgyi Albert Orvostudom{\'a}nyi Egyetem k{\'e}parchiv{\'a}l{\'o} {\'e}s tov{\'a}bb{\'\i}t{\'o} rendszer{\'e}nek szoftvere}, booktitle = {A sz{\'a}m{\'\i}t{\'a}stechnika orvosi {\'e}s biol{\'o}giai alkalmaz{\'a}sai: A XX. Neumann Kollokvium Kiadv{\'a}nya}, year = {1996}, month = {Nov 1996}, pages = {173 - 176}, publisher = {NJSZT}, organization = {NJSZT}, address = {Veszpr{\'e}m}, abstract = {

A Szent-Gy{\"o}rgyi Albert Orvostudom{\'a}nyi Egyetem k{\'e}p-archiv{\'a}l{\'o} {\'e}s -tov{\'a}bb{\'\i}t{\'o} rendszer (SZOTE-PACS) szoftver{\'e}nek a fejleszt{\'e}s{\'e}t ismertetj{\"u}k el{\H o}ad{\'a}sunkban. A c{\'e}l egy olyan sz{\'a}m{\'\i}t{\'o}g{\'e}pes h{\'a}l{\'o}zat elk{\'e}sz{\'\i}t{\'e}se, amely nemcsak a klinikai vizsg{\'a}latok k{\'e}peinek t{\'a}rol{\'a}s{\'a}val {\'e}s {\'a}tvitel{\'e}vel kapcsolatos feladatokat l{\'a}tja el, de t{\'a}mogatja az oktat{\'a}si {\'e}s konzult{\'a}ci{\'o}s tev{\'e}kenys{\'e}g{\'e}eket is. A SZOTE-PACS 3 r{\'e}szre bonthat{\'o}: k{\'e}pfelvev{\H o}, archiv{\'a}l{\'o} {\'e}s megjelen{\'\i}t{\H o} {\'a}llom{\'a}sokra. A k{\'e}pfelvev{\H o} munka{\'a}llom{\'a}soknak kett{\H o}s feladata van: egyr{\'e}szt a k{\"u}l{\"o}nf{\'e}le modalit{\'a}sokon (CT, MR, NM, US {\'e}s SPECT) vagy r{\"o}ntgenfilm-scanneren felvett, illetve a DICOM- szabv{\'a}nynak megfelel{\H o} {\'a}llom{\'a}sr{\'o}l be{\'e}rkez{\H o} vizsg{\'a}latok begy{\H u}jt{\'e}se, m{\'a}sr{\'e}szt az Interfile 3.3, ACR-NEMA 2.0 vagy TIFF form{\'a}tum{\'u} vizsg{\'a}latok DICOM form{\'a}tumra val{\'o} automatikus konvert{\'a}l{\'a}sa. A rendszer k{\'e}pes a Radiol{\'o}giai Klinika Inform{\'a}ci{\'o}s Rendszer{\'e}ben (RIS) lev{\H o} inform{\'a}ci{\'o}k {\'a}tv{\'e}tel{\'e}re {\'e}s be{\'e}p{\'\i}t{\'e}s{\'e}re is. Az {\'\i}gy el{\H o}k{\'e}sz{\'\i}tett vizsg{\'a}latok {\'a}tk{\"u}ldhet{\H o}k a k{\"o}zponti szerverre, ahol azok az arch{\'\i}vumban automatiksan t{\'a}rol{\'o}dnak. A jelenlegi diszk kapacit{\'a}s mellett 15 napig {\H o}rizz{\"u}k a vizsg{\'a}latokat. A tervek szerint 15 nap ut{\'a}n csak a k{\'e}peket t{\"o}r{\"o}lj{\"u}k a szerverr{\H o}l, a vizsg{\'a}lat egy{\'e}b (nem k{\'e}pi) adatai tov{\'a}bbra is meg{\H o}rz{\'e}sre ker{\"u}lnek. Az arch{\'\i}vumban Oracle adatb{\'a}zis keze{\'e}{\H o} rendszer seg{\'\i}ti a visszakeres{\'e}st, a mejelen{\'\i}t{\'e}st {\'e}s a m{\'o}dos{\'\i}t{\'a}st. A feldolgoz{\'o} munka{\'a}llom{\'a}sokra (PC-k, UNOX-{\'a}llom{\'a}sok vagy X-termin{\'a}lok) k{\'e}rheti le a felhaszn{\'a}l{\'o} a szerveren t{\'a}rolt vizsg{\'a}latokat. Itt jelen{\'\i}thet{\H o}k meg illetve dolgozhat{\'o}k fel a vizsg{\'a}latok k{\'e}pei. Az orvostanhallgat{\'o}k {\'e}s doktoranduszok k{\'e}pz{\'e}s{\'e}re HTML-ben {\'\i}rt oktat{\'a}si anyagok {\'a}ll{\'\i}that{\'o}k {\"o}ssze a t{\'a}rolt sz{\"o}veges {\'e}s k{\'e}pi adatokb{\'o}l. Az oktat{\'a}si anyagokat a rendszer k{\"u}l{\"o}n adatb{\'a}zisban t{\'a}rolja.

} } @inbook {905, title = {A t{\"o}bbdimenzi{\'o}s k{\'e}pfeldolgoz{\'a}s programjai {\'e}s oktat{\'a}suk}, booktitle = {Informatika a fels{\H o}oktat{\'a}sban {\textquoteright}96 {\'e}s Networkshop {\textquoteright}96}, year = {1996}, month = {1996///}, pages = {649 - 656}, publisher = {Debreceni Egyetem}, organization = {Debreceni Egyetem}, address = {Debrecen}, abstract = {Nowdays, 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 J{\'o}zsef 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. } } @inbook {1326, title = {A t{\"o}bbdimenzi{\'o}s k{\'e}pfeldolgoz{\'a}s programjai {\'e}s oktat{\'a}suk}, booktitle = {Informatika a fels{\H o}oktat{\'a}sban {\textquoteright}96 {\'e}s Networkshop {\textquoteright}96}, year = {1996}, month = {1996}, pages = {649 - 656}, publisher = {Debreceni Egyetem}, organization = {Debreceni Egyetem}, address = {Debrecen}, abstract = {Nowdays, 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 J{\'o}zsef 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. } } @booklet {1331, title = {K{\'e}pfeldolgoz{\'o} oktat{\'a}si seg{\'e}dprogram (PicKit)}, year = {1995}, note = {TDK dolgozatOTDK II. helyez{\'e}s TDK dolgozatOTDK II. helyez{\'e}s }, month = {1995}, pages = { - 46} } @booklet {1056, title = {K{\'e}pfeldolgoz{\'o} oktat{\'a}si seg{\'e}dprogram (PicKit)}, year = {1995}, note = {TDK dolgozatOTDK II. helyez{\'e}s TDK dolgozatOTDK II. helyez{\'e}s }, month = {1995///}, pages = { - 46} } @conference {1322, title = {Presentation of 3D SPECT images}, booktitle = {4th International Workshop Measurement}, year = {1995}, month = {May 1995}, pages = {82}, address = {Smolenice, Slovakia}, abstract = {

The 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.

} } @conference {904, title = {Presentation of 3D SPECT images}, booktitle = {4th International Workshop Measurement}, year = {1995}, month = {May 1995}, pages = {82}, address = {Smolenice, Slovakia}, abstract = {

The 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.

} } @conference {1038, title = {A SZOTE k{\'e}p-archiv{\'a}l{\'o} {\'e}s -tov{\'a}bb{\'\i}t{\'o} rendszere}, booktitle = {Magyar Orvostudom{\'a}nyi Nukle{\'a}ris T{\'a}rsas{\'a}g IX. Kongresszusa}, year = {1995}, note = {Art. No.: P21}, month = {June 1995}, address = {Eger}, abstract = {

A Szent-Gy{\"o}rgyi Albert Orvostudom{\'a}nyi Egyetem {\'e}s a J{\'o}zsef AttilaTudom{\'a}nyegyetem k{\"o}z{\"o}s FEFA p{\'a}ly{\'a}zatot nyert 1994-95-ben az Orvosegyetem oktat{\'a}si c{\'e}l{\'u} k{\'e}p-archiv{\'a}l{\'o} {\'e}s -tov{\'a}bb{\'\i}t{\'o} rendszer{\'e}nek (Picture Archiving and Communication System - PACS) {\'e}s radiol{\'o}giai inform{\'a}ci{\'o}s rendszer{\'e}nek (Radiological Information System - RIS) a kialak{\'\i}t{\'a}s{\'a}ra. A rendszer hardware alapjait a m{\'a}r kialak{\'\i}tott egyetemi sz{\'a}m{\'\i}t{\'o}g{\'e}pes h{\'a}l{\'o}zat {\'e}s a beszerzett illetve m{\'e}g beszerz{\'e}s alatt {\'a}ll{\'o} komponensek (h{\'a}l{\'o}zati elemek, munka{\'a}llom{\'a}sok, scannerek, k{\'e}pmegjelen{\'\i}t{\H o}k) biztos{\'\i}tj{\'a}k. Software terveink a k{\"o}vetkez{\H o} r{\'e}szekb{\H o}l {\'a}llnak: a) a k{\"u}l{\"o}nf{\'e}le modalit{\'a}sokr{\'o}l (pl. SPECT, CT, NM, MRI, ultrahang, scanner) sz{\'a}rmaz{\'o} vizsg{\'a}latokat begy{\H u}jt{\H o} {\'e}s egys{\'e}gesen DICOM szabv{\'a}ny{\'u} form{\'a}tumra konvert{\'a}l{\'o} alrendszer b) a vizsg{\'a}latokat a h{\'a}l{\'o}zaton kereszt{\"u}l az arch{\'\i}vumba tov{\'a}bb{\'\i}t{\'o} alrendszer c) a k{\"o}zponti sz{\'a}m{\'\i}t{\'o}g{\'e}pen m{\H u}k{\"o}d{\H o} archiv{\'a}l{\'a}si alrendszer d) az arch{\'\i}vumban t{\'a}rolt vizsg{\'a}latokb{\'o}l oktat{\'a}si anyagokat k{\'e}sz{\'\i}t{\H o} (szerkeszt{\H o}, v{\'a}logat{\'o}) {\'e}s bemutat{\'o} alrendszer e) {\'e}s v{\'e}g{\"u}l a rendszer {\"u}zemeltet{\'e}s{\'e}t seg{\'\i}t{\H o} karbantart{\'a}si alrendszer. El{\H o}ad{\'a}sunkban ismertetj{\"u}k a komplex rendszer software terv{\'e}t, eddig elk{\'e}sz{\"u}lt r{\'e}szeit {\'e}s az {\"u}zemeltet{\'e}s sor{\'a}n eddig szerzett tapasztalatokat.

} } @conference {1323, title = {A SZOTE k{\'e}p-archiv{\'a}l{\'o} {\'e}s -tov{\'a}bb{\'\i}t{\'o} rendszere}, booktitle = {Magyar Orvostudom{\'a}nyi Nukle{\'a}ris T{\'a}rsas{\'a}g IX. Kongresszusa}, year = {1995}, note = {Art. No.: P21}, month = {June 1995}, address = {Eger}, abstract = {

A Szent-Gy{\"o}rgyi Albert Orvostudom{\'a}nyi Egyetem {\'e}s a J{\'o}zsef AttilaTudom{\'a}nyegyetem k{\"o}z{\"o}s FEFA p{\'a}ly{\'a}zatot nyert 1994-95-ben az Orvosegyetem oktat{\'a}si c{\'e}l{\'u} k{\'e}p-archiv{\'a}l{\'o} {\'e}s -tov{\'a}bb{\'\i}t{\'o} rendszer{\'e}nek (Picture Archiving and Communication System - PACS) {\'e}s radiol{\'o}giai inform{\'a}ci{\'o}s rendszer{\'e}nek (Radiological Information System - RIS) a kialak{\'\i}t{\'a}s{\'a}ra. A rendszer hardware alapjait a m{\'a}r kialak{\'\i}tott egyetemi sz{\'a}m{\'\i}t{\'o}g{\'e}pes h{\'a}l{\'o}zat {\'e}s a beszerzett illetve m{\'e}g beszerz{\'e}s alatt {\'a}ll{\'o} komponensek (h{\'a}l{\'o}zati elemek, munka{\'a}llom{\'a}sok, scannerek, k{\'e}pmegjelen{\'\i}t{\H o}k) biztos{\'\i}tj{\'a}k. Software terveink a k{\"o}vetkez{\H o} r{\'e}szekb{\H o}l {\'a}llnak: a) a k{\"u}l{\"o}nf{\'e}le modalit{\'a}sokr{\'o}l (pl. SPECT, CT, NM, MRI, ultrahang, scanner) sz{\'a}rmaz{\'o} vizsg{\'a}latokat begy{\H u}jt{\H o} {\'e}s egys{\'e}gesen DICOM szabv{\'a}ny{\'u} form{\'a}tumra konvert{\'a}l{\'o} alrendszer b) a vizsg{\'a}latokat a h{\'a}l{\'o}zaton kereszt{\"u}l az arch{\'\i}vumba tov{\'a}bb{\'\i}t{\'o} alrendszer c) a k{\"o}zponti sz{\'a}m{\'\i}t{\'o}g{\'e}pen m{\H u}k{\"o}d{\H o} archiv{\'a}l{\'a}si alrendszer d) az arch{\'\i}vumban t{\'a}rolt vizsg{\'a}latokb{\'o}l oktat{\'a}si anyagokat k{\'e}sz{\'\i}t{\H o} (szerkeszt{\H o}, v{\'a}logat{\'o}) {\'e}s bemutat{\'o} alrendszer e) {\'e}s v{\'e}g{\"u}l a rendszer {\"u}zemeltet{\'e}s{\'e}t seg{\'\i}t{\H o} karbantart{\'a}si alrendszer. El{\H o}ad{\'a}sunkban ismertetj{\"u}k a komplex rendszer software terv{\'e}t, eddig elk{\'e}sz{\"u}lt r{\'e}szeit {\'e}s az {\"u}zemeltet{\'e}s sor{\'a}n eddig szerzett tapasztalatokat.

} } @booklet {1332, title = {K{\'e}pfeldolgoz{\'o} oktat{\'a}si seg{\'e}dprogram (PicKit)}, year = {1994}, note = {TDK dolgozathelyi TDK I. helyez{\'e}s TDK dolgozathelyi TDK I. helyez{\'e}s }, month = {1994}, pages = { - 36} } @booklet {1057, title = {K{\'e}pfeldolgoz{\'o} oktat{\'a}si seg{\'e}dprogram (PicKit)}, year = {1994}, note = {TDK dolgozathelyi TDK I. helyez{\'e}s TDK dolgozathelyi TDK I. helyez{\'e}s }, month = {1994///}, pages = { - 36} } @booklet {1054, title = {K{\'e}pfeldolgoz{\'o} oktat{\'a}si seg{\'e}dprogram (PicKit)}, year = {1994}, note = {diplomamunka (MSc thesis)diplomamunka (MSc thesis)}, month = {1994///}, pages = { - 61} } @inbook {903, title = {Szabv{\'a}nyos k{\'e}pform{\'a}k orvosi k{\'e}pek t{\'a}rol{\'a}s{\'a}ra}, booktitle = {MEDICOMP {\textquoteright}94, Sz{\'a}m{\'\i}t{\'a}stechnikai {\'e}s kibernetikai m{\'o}dszerek az orvostudom{\'a}nyban {\'e}s a biol{\'o}gi{\'a}ban}, year = {1994}, month = {1994///}, pages = {112 - 116}, publisher = {SZOTE}, organization = {SZOTE}, address = {Szeged}, abstract = {Az orvosi k{\'e}palkot{\'o} berendez{\'e}sek fejl{\H o}d{\'e}s{\'e}vel elengedhetetlenn{\'e}v{\'a}lt a szabv{\'a}nyos orvosi k{\'e}pform{\'a}tumok kialak{\'\i}t{\'a}sa. A k{\"u}l{\"o}nf{\'e}le eszk{\"o}z{\"o}k{\"o}n k{\'e}sz{\"u}lt felv{\'e}telek feldolgoz{\'a}s{\'a}t, {\"o}sszehasonl{\'\i}t{\'a}s{\'a}t {\'e}s h{\'a}l{\'o}zatban val{\'o} tov{\'a}bb{\'\i}t{\'a}s{\'a}t megnehez{\'\i}tette, hogy a gy{\'a}rt{\'o}k a k{\'e}peket csak egy{\'e}ni, t{\"o}bb{\'e}-kev{\'e}sb{\'e} publik{\'a}lt form{\'a}tumban t{\'a}rolt{\'a}k. Ezen a helyzeten k{\'\i}v{\'a}nnak v{\'a}ltoztatni k{\"u}l{\"o}nf{\'e}le szervezetek olyan szabv{\'a}nyok bevezet{\'e}s{\'e}vel, amelyek speci{\'a}lisan orvosi k{\'e}pek eset{\'e}ben lehetnek hasznosak. A szabv{\'a}nyos{\'\i}t{\'a}si t{\"o}rekv{\'e}sek eredm{\'e}nyek{\'e}nt m{\'a}ra h{\'a}rom nagy ir{\'a}nyzat alakult ki: ACR-NEMA, DICOM {\'e}s Interfile. El{\H o}ad{\'a}sunkban v{\'a}zoljuk az orvosi k{\'e}pek t{\'a}rol{\'a}si form{\'a}tumain{\'a}l {\'e}rv{\'e}nyes{\"u}l{\H o} specifikus szempontokat, r{\"o}viden ismertetj{\"u}k az eml{\'\i}tett szabv{\'a}nyokat {\'e}s bemutatjuk az {\'a}ltalunk eddig k{\'e}sz{\'\i}tett, a k{\"u}l{\"o}nf{\'e}le form{\'a}tumok k{\"o}z{\"o}tti konverzi{\'o}t biztos{\'\i}t{\'o} programokat. } } @inbook {1321, title = {Szabv{\'a}nyos k{\'e}pform{\'a}k orvosi k{\'e}pek t{\'a}rol{\'a}s{\'a}ra}, booktitle = {MEDICOMP {\textquoteright}94, Sz{\'a}m{\'\i}t{\'a}stechnikai {\'e}s kibernetikai m{\'o}dszerek az orvostudom{\'a}nyban {\'e}s a biol{\'o}gi{\'a}ban}, year = {1994}, month = {1994}, pages = {112 - 116}, publisher = {SZOTE}, organization = {SZOTE}, address = {Szeged}, abstract = {Az orvosi k{\'e}palkot{\'o} berendez{\'e}sek fejl{\H o}d{\'e}s{\'e}vel elengedhetetlenn{\'e}v{\'a}lt a szabv{\'a}nyos orvosi k{\'e}pform{\'a}tumok kialak{\'\i}t{\'a}sa. A k{\"u}l{\"o}nf{\'e}le eszk{\"o}z{\"o}k{\"o}n k{\'e}sz{\"u}lt felv{\'e}telek feldolgoz{\'a}s{\'a}t, {\"o}sszehasonl{\'\i}t{\'a}s{\'a}t {\'e}s h{\'a}l{\'o}zatban val{\'o} tov{\'a}bb{\'\i}t{\'a}s{\'a}t megnehez{\'\i}tette, hogy a gy{\'a}rt{\'o}k a k{\'e}peket csak egy{\'e}ni, t{\"o}bb{\'e}-kev{\'e}sb{\'e} publik{\'a}lt form{\'a}tumban t{\'a}rolt{\'a}k. Ezen a helyzeten k{\'\i}v{\'a}nnak v{\'a}ltoztatni k{\"u}l{\"o}nf{\'e}le szervezetek olyan szabv{\'a}nyok bevezet{\'e}s{\'e}vel, amelyek speci{\'a}lisan orvosi k{\'e}pek eset{\'e}ben lehetnek hasznosak. A szabv{\'a}nyos{\'\i}t{\'a}si t{\"o}rekv{\'e}sek eredm{\'e}nyek{\'e}nt m{\'a}ra h{\'a}rom nagy ir{\'a}nyzat alakult ki: ACR-NEMA, DICOM {\'e}s Interfile. El{\H o}ad{\'a}sunkban v{\'a}zoljuk az orvosi k{\'e}pek t{\'a}rol{\'a}si form{\'a}tumain{\'a}l {\'e}rv{\'e}nyes{\"u}l{\H o} specifikus szempontokat, r{\"o}viden ismertetj{\"u}k az eml{\'\i}tett szabv{\'a}nyokat {\'e}s bemutatjuk az {\'a}ltalunk eddig k{\'e}sz{\'\i}tett, a k{\"u}l{\"o}nf{\'e}le form{\'a}tumok k{\"o}z{\"o}tti konverzi{\'o}t biztos{\'\i}t{\'o} programokat. } } @booklet {1058, title = {K{\"u}l{\"o}nb{\"o}z{\H o} tipus{\'u} sz{\'a}m{\'\i}t{\'o}g{\'e}pes karakterk{\'e}szletek {\"o}sszehasonl{\'\i}t{\'a}sa {\'e}s konverzi{\'o}ja}, year = {1992}, note = {TDK dolgozathelyi TDK k{\"u}l{\"o}nd{\'\i}j TDK dolgozathelyi TDK k{\"u}l{\"o}nd{\'\i}j }, month = {1992///}, pages = { - 39} } @booklet {1055, title = {K{\"u}l{\"o}nb{\"o}z{\H o} tipus{\'u} sz{\'a}m{\'\i}t{\'o}g{\'e}pes karakterk{\'e}szletek {\"o}sszehasonl{\'\i}t{\'a}sa {\'e}s konverzi{\'o}ja}, year = {1992}, note = {szakdolgozat (BSc thesis)szakdolgozat (BSc thesis)}, month = {1992///}, pages = { - 47} }