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MICCAI
2003
Springer

Hierarchical Segmentation of Thin Structures in Volumetric Medical Images

14 years 6 months ago
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.
Michal Holtzman-Gazit, Dorith Goldsher, Ron Kimmel
Added 15 Nov 2009
Updated 15 Nov 2009
Type Conference
Year 2003
Where MICCAI
Authors Michal Holtzman-Gazit, Dorith Goldsher, Ron Kimmel
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