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Automatic Segmentation of the Myocardium in Cine MR Images Using Deformable Registration

  • Marie-Pierre Jolly
  • Christoph Guetter
  • Xiaoguang Lu
  • Hui Xue
  • Jens Guehring
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7085)

Abstract

This paper proposes a system to automatically segment the left ventricle in cardiac MR cine images. Individual frames are segmented using a shortest path algorithm and temporal consistency is enforced through the backward and forward deformation fields of an inverse consistent deformable registration. In addition, a segmentation of the mitral valve plane is obtained from long axis images. This algorithm was applied to 95 datasets as part of the STACOM’11 4D LV Segmentation Challenge. We analyze the results and evaluate the strengths and weaknesses of our system.

Keywords

Mitral Valve Positive Predictive Value Negative Predictive Value Polar Space Automatic Segmentation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Marie-Pierre Jolly
    • 1
  • Christoph Guetter
    • 1
  • Xiaoguang Lu
    • 1
  • Hui Xue
    • 1
  • Jens Guehring
    • 2
  1. 1.Image Analytics and InformaticsSiemens Corporate ResearchPrincetonUSA
  2. 2.Healthcare SectorSiemens AGErlangenGermany

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