Adaptation and evaluation of the multiple organs OSD for T2 MRI prostate segmentation

Abstract : This paper deals with the adaptation, the tuning and the evaluation of the multiple organs Optimal Surface Detection (OSD) algorithm for the T2 MRI prostate segmentation. This algorithm is initialized by first surface approximations of the prostate (obtained after a model adjustment), the bladder (obtained automatically) and the rectum (interactive geometrical model). These three organs are then segmented together in a multiple organs OSD scheme which proposes a competition between the gray level characteristics and some topological and anatomical information of these three organs. This method has been evaluated on the MICCAI Grand Challenge: Prostate MR Image Segmentation (PROMISE) 2012 training dataset.
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Communication dans un congrès
36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug 2014, Chicago, United States. pp.4687-4690, 2014
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http://www.hal.inserm.fr/inserm-01059971
Contributeur : Jean-Louis Dillenseger <>
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Dernière modification le : mercredi 16 mai 2018 - 11:23:41
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Ke Wu, Carole Garnier, Javad Alirezaie, Jean-Louis Dillenseger. Adaptation and evaluation of the multiple organs OSD for T2 MRI prostate segmentation. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug 2014, Chicago, United States. pp.4687-4690, 2014. 〈inserm-01059971〉

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