Title :
Topological MRI prostate segmentation method
Author :
Stojanov, Done ; Koceski, Saso
Author_Institution :
Fac. of Comput. Sci., Univ. Goce Delcev-Stip, Stip, Macedonia
Abstract :
The main aim of this paper is to advance the state of the art in automated prostate segmentation using T2 weighted MR images, by introducing a hybrid topological MRI prostate segmentation method which is based on a set of pre-labeled MR atlas images. The proposed method has been experimentally tested on a set of 30 MRI T2 weighted images. For evaluation the automated segmentations of the proposed scheme have been compared with the manual segmentations, using an average Dice Similarity Coefficient (DSC). Obtained quantitative results have shown a good approximation of the segmented prostate.
Keywords :
biomedical MRI; image segmentation; medical image processing; DSC; automated prostate segmentation; dice similarity coefficient; hybrid topological MRI prostate segmentation method; pre-labeled MR atlas images; segmented prostate; Equations; Image segmentation; Magnetic resonance imaging; Manuals; Mathematical model; Shape; Training; MRI T2; Prostate segmentation; hybrid topological method;
Conference_Titel :
Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on
Conference_Location :
Warsaw