Hierarchical Segmentation of Thin Structures in Volumetric Medical Images

We introduce a new method for segmentation of 3D medical data based on geometric variational principles. A minimal variance criterion is coupled with a geometric edge alignment measure and the geodesic active surface model. An efficient numerical scheme is proposed. In order to simultaneously detect a number of different objects in the image, a hierarchal method is presented. Finally, our method is compared with the multi-level set approach for segmentation of medical images.

• Type: Conference
• Year: 2003
• Where: MICCAI
• Authors: Michal Holtzman-Gazit, Dorith Goldsher, Ron Kimmel
• Keywords: Geometric Edge Alignment, Geometric Variational Principles, Medical Imaging, MICCAI 2003, Minimal Variance Criterion