Hierarchical segmentation of thin structures in volumetric medical images

被引:0
作者
Holtzman-Gazit, M [1 ]
Goldsher, D
Kimmel, R
机构
[1] Technion Israel Inst Technol, Dept Elect Engn, IL-32000 Haifa, Israel
[2] Technion Israel Inst Technol, Fac Med, Rambam Med Ctr, IL-32000 Haifa, Israel
[3] Technion Israel Inst Technol, Fac Med, Dept Comp Sci, IL-32000 Haifa, Israel
来源
MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2003, PT 2 | 2003年 / 2879卷
关键词
segmentation; active surfaces; energy minimization; level sets; variational methods; PDEs;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:562 / 569
页数:8
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