DocumentCode :
702331
Title :
Comparison of ASM and AAM-based segmentation of prostate image in the CT scans for radiotherapy planning
Author :
Kos, Artur ; Zielinski, Tomasz ; Skalski, Andrzej ; Kukolowicz, Pawel ; Kedzierawski, Piotr ; Kuszewski, Tomasz
Author_Institution :
Dept. of Telecommun., AGH Univ. of Sci. & Technol., Krakow, Poland
fYear :
2012
fDate :
27-29 Sept. 2012
Firstpage :
53
Lastpage :
57
Abstract :
In this paper we present a novel method of medical CT data segmentation using explicit atlas-type knowledge and Active Appearance Model (AAM) as a principal segmentation tool. New approach of automatic landmarks creation for AAM is proposed. Obtained results of automatic segmentation of prostate image in the CT scans are compared with true outlines drawn by medical doctors during the radiotherapy planning and with the Active Shape Model (ASM)-based segmentation tested by us before. Using ASM turned out to be better than AAM.
Keywords :
cancer; computerised tomography; image segmentation; medical image processing; radiation therapy; AAM-based segmentation; ASM-based segmentation; CT scans; active appearance model; active shape model-based segmentation; automatic landmark creation; automatic prostate image segmentation; explicit atlas-type knowledge; medical CT data segmentation; principal segmentation tool; radiotherapy planning; Active appearance model; Biomedical imaging; Computed tomography; Decision support systems; Image segmentation; Planning; Telecommunications; AAM; ASM; CT; atlas segmentation; prostate radiotheraphy; segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Trends in Audio & Video and Signal Processing: Algorithms, Architectures, Arrangements, and Applications (NTAV/SPA), 2012 Joint Conference
Conference_Location :
Lodz
Print_ISBN :
978-8-3728-3502-4
Type :
conf
Filename :
7085511
Link To Document :
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