Automated segmentation of the prostate in 3D MR images using a probabilistic atlas and a spatially constrained deformable model

Abstract

By merging prior knowledge, the presented method achieves a robust and completely automatic segmentation of the prostate in MR images. Results show that the use of a spatial constraint is useful to increase the robustness of the deformable model comparatively to a deformable surface that is only driven by an image appearance model.