Automatic Segmentation of the Left Ventricle in Cardiac MR and CT Images
- Resource Type
- Authors
- Marie-Pierre Jolly
- Source
- International Journal of Computer Vision. 70:151-163
- Subject
- business.industry
Segmentation-based object categorization
Scale-space segmentation
Pattern recognition
Image segmentation
Thresholding
Artificial Intelligence
Cut
Pattern recognition (psychology)
Segmentation
Computer vision
Computer Vision and Pattern Recognition
Artificial intelligence
business
Connected-component labeling
Software
Mathematics
- Language
- ISSN
- 1573-1405
0920-5691
This paper describes a segmentation technique to automatically extract the myocardium in 4D cardiac MR and CT datasets. The segmentation algorithm is a two step process. The global localization step roughly localizes the left ventricle using techniques such as maximum discrimination, thresholding and connected component analysis. The local deformations step combines EM-based region segmentation and Dijkstra active contours using graph cuts, spline fitting, or point pattern matching. The technique has been tested on a large number of patients and both quantitative and qualitative results are presented.