3D image segmentation using combined shape-intensity prior models

摘要

Statistical models for medical images have been developed to increase robustness in the segmentation process. In this project, a fully automatic approach to build a statistical shape-intensity model and combine this model with level set segmentation was designed, implemented and tested by applying the algorithm to clinical image data.