Model-Based Segmentation and Recognition of Anatomical Brain Structures in 3D MR Images

摘要

We propose a coarse to fine framework for the segmentation and recognition of structures in brain MR Images. We first coarsely segment the outer surface of the brain, which is used as the main criteria for the non-rigid registration of the MR image with a Computerised Brain Atlas. Then, we use the structures in the atlas as the initialisation for active surfaces models. Those surfaces are deformed in order to minimise an energy depending both on the smoothness of the structure and on the image itself.