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

  • Authors:
  • Marie-Pierre Jolly

  • Affiliations:
  • Imaging and Visualization Department, Siemens Corporate Research, Princeton, USA

  • Venue:
  • International Journal of Computer Vision
  • Year:
  • 2006

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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.