Automatic segmentation of the myocardium in cine MR images using deformable registration

Authors:
Marie-Pierre Jolly;Christoph Guetter;Xiaoguang Lu;Hui Xue;Jens Guehring
Affiliations:
Image Analytics and Informatics, Siemens Corporate Research, Princeton, NJ;Image Analytics and Informatics, Siemens Corporate Research, Princeton, NJ;Image Analytics and Informatics, Siemens Corporate Research, Princeton, NJ;Image Analytics and Informatics, Siemens Corporate Research, Princeton, NJ;Healthcare Sector, Siemens AG, Erlangen, Germany
Venue:
STACOM'11 Proceedings of the Second international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
Year:
2011

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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.