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Automatic Segmentation of the Left Ventricle in Cardiac MR and CT Images

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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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Authors and Affiliations

  1. Imaging and Visualization Department, Siemens Corporate Research, Princeton, NJ, USA

    Marie-Pierre Jolly

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  1. Marie-Pierre Jolly
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Correspondence to Marie-Pierre Jolly.

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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

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