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

Ke Wu 1, 2 Carole Garnier 1 Javad Alirezaie 3 Jean-Louis Dillenseger 1, 2, *
* Auteur correspondant
1 LTSI - Laboratoire Traitement du Signal et de l'Image
2 CRIBS - Centre de Recherche en Information Biomédicale sino-français
3 Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada
Department of Electrical and Computer Engineering,
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.
keyword : Protate segmentation T2 MRI 3D segmentation surface OSD
Type de document :
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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Soumis le : vendredi 19 septembre 2014 - 09:55:22
Dernière modification le : mercredi 16 mai 2018 - 11:23:41
Document(s) archivé(s) le : samedi 20 décembre 2014 - 10:35:17

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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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