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MICCAI
2007
Springer

Automatic Segmentation of Bladder and Prostate Using Coupled 3D Deformable Models

9 years 11 months ago
Automatic Segmentation of Bladder and Prostate Using Coupled 3D Deformable Models
In this paper, we propose a fully automatic method for the coupled 3D localization and segmentation of lower abdomen structures. We apply it to the joint segmentation of the prostate and bladder in a database of CT scans of the lower abdomen of male patients. A flexible approach on the bladder allows the process to easily adapt to high shape variation and to intensity inhomogeneities that would be hard to characterize (due, for example, to the level of contrast agent that is present). On the other hand, a statistical shape prior is enforced on the prostate. We also propose an adaptive non?overlapping constraint that arbitrates the evolution of both structures based on the availability of strong image data at their common boundary. The method has been tested on a database of 16 volumetric images, and the validation process includes an assessment of inter?expert variability in prostate delineation, with promising results. Key words: prostate, bladder, 3D segmentation, coupled deformable ...
Hervé Delingette, María Jimena Costa
Added 14 Nov 2009
Updated 14 Nov 2009
Type Conference
Year 2007
Where MICCAI
Authors Hervé Delingette, María Jimena Costa, Nicholas Ayache, Sébastien Novellas
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