TY - JOUR T1 - 3D segmentation of liver, kidneys and spleen from CT images JF - INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY Y1 - 2007 A1 - György Bekes A1 - László Gábor Nyúl A1 - Eörs Máté A1 - Attila Kuba A1 - Márta Fidrich AB -

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.

VL - 2 SN - 1861-6410 IS - 1 SUPPL. N1 - ScopusID: 34250685687doi: 10.1007/s11548-007-0083-7 JO - INT J COMPUT ASSIST RADIOL SURG ER -