%0 Journal Article %T Prostate segmentation in HIFU therapy. %+ Laboratoire Traitement du Signal et de l'Image (LTSI) %+ Centre de Recherche en Information Biomédicale sino-français (CRIBS) %+ Laboratory of Image Science and Technology [Nanjing] (LIST) %+ Service d'urologie [Rennes] = Urology [Rennes] %+ Laboratoire Traitement du Signal et de l'Image (LTSI) %A Garnier, Carole %A Bellanger, Jean-Jacques %A Wu, Ke %A Shu, Huazhong %A Costet, Nathalie %A Mathieu, Romain %A de Crevoisier, Renaud %A Coatrieux, Jean-Louis %< avec comité de lecture %@ 0278-0062 %J IEEE Transactions on Medical Imaging %I Institute of Electrical and Electronics Engineers %V 30 %N 3 %P 792-803 %8 2011-03 %D 2011 %R 10.1109/TMI.2010.2095465 %M 21118767 %K Discrete dynamic contour (DDC) %K high intensity focused ultrasound (HIFU) therapy %K optimal surface detection (OSD) %K prostate %K segmentation %K ultrasound images %Z Life Sciences [q-bio]/Bioengineering %Z Engineering Sciences [physics]/Signal and Image processing %Z Computer Science [cs]/Signal and Image Processing %Z Life Sciences [q-bio]/Bioengineering/Imaging %Z Life Sciences [q-bio]/Human health and pathology/Urology and NephrologyJournal articles %X Prostate segmentation in 3-D transrectal ultrasound images is an important step in the definition of the intra-operative planning of high intensity focused ultrasound (HIFU) therapy. This paper presents two main approaches for the semi-automatic methods based on discrete dynamic contour and optimal surface detection. They operate in 3-D and require a minimal user interaction. They are considered both alone or sequentially combined, with and without postregularization, and applied on anisotropic and isotropic volumes. Their performance, using different metrics, has been evaluated on a set of 28 3-D images by comparison with two expert delineations. For the most efficient algorithm, the symmetric average surface distance was found to be 0.77 mm. %G English %2 https://inserm.hal.science/inserm-00580194/document %2 https://inserm.hal.science/inserm-00580194/file/PROSTATE_SEGMENTATION_IN_HIFU_THERAPY.pdf %L inserm-00580194 %U https://inserm.hal.science/inserm-00580194 %~ INSERM %~ UNIV-RENNES1 %~ LTSI %~ CRIBS %~ HL %~ METRIQ %~ UR1-HAL %~ UR1-MATH-STIC %~ TEST-UNIV-RENNES %~ TEST-UR-CSS %~ UNIV-RENNES %~ UR1-MATH-NUM %~ UR1-BIO-SA