Automated Multidetector Row CT Dataset Segmentation with an Interactive Watershed Transform (IWT) Algorithm: Part 2—Body CT Angiographic and Orthopedic Applications
被引:0
|
作者:
Pamela T. Johnson
论文数: 0引用数: 0
h-index: 0
机构:Johns Hopkins School of Medicine,Department of Radiology
Pamela T. Johnson
Horst K. Hahn
论文数: 0引用数: 0
h-index: 0
机构:Johns Hopkins School of Medicine,Department of Radiology
Horst K. Hahn
David G. Heath
论文数: 0引用数: 0
h-index: 0
机构:Johns Hopkins School of Medicine,Department of Radiology
David G. Heath
Elliot K. Fishman
论文数: 0引用数: 0
h-index: 0
机构:Johns Hopkins School of Medicine,Department of Radiology
Elliot K. Fishman
机构:
[1] Johns Hopkins School of Medicine,Department of Radiology
[2] Center for Medical Image Computing,MeVis Research
[3] HipGraphics,undefined
[4] Inc,undefined
来源:
Journal of Digital Imaging
|
2008年
/
21卷
关键词:
3D Segmentation;
computed tomography;
body imaging;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
The preceding manuscript describes the principles behind the Interactive Watershed Transform (IWT) segmentation tool. The purpose of this manuscript is to illustrate the clinical utility of this editing technique for body multidetector row computed tomography (MDCT) imaging. A series of cases demonstrates clinical applications where automated segmentation of skeletal structures with IWT is most useful. Both CT angiography and orthopedic applications are presented.