Abstract
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.
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Jolly, MP. Automatic Segmentation of the Left Ventricle in Cardiac MR and CT Images. Int J Comput Vision 70, 151–163 (2006). https://doi.org/10.1007/s11263-006-7936-3
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DOI: https://doi.org/10.1007/s11263-006-7936-3