Echocardiographic Contour Extraction with Local and Global Priors through Boosting and Level Sets


Oktay A. B. , Akgul Y. S.

IEEE-Computer-Society Conference on Computer Vision and Pattern Recognition Workshops, Florida, United States Of America, 20 - 25 June 2009, pp.109-114 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • City: Florida
  • Country: United States Of America
  • Page Numbers: pp.109-114

Abstract

Extracting endocardium and epicardium from echocardiographic images is a challenging task because of large amounts of noise, signal drop-out, unrelated structures, and unseen wall parts. This paper introduces a new technique that automatically extracts cardiac borders by incorporating local and global priors through boosting and level set methods. The shape-based global prior is incorporated into the system by regularly re-initializing the level set surface under the influence of the expert detected contours. The local priors with image and temporal information are learned through boosting.