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Abstract #3737

Automated Segmentation of Left Ventricle in Cine Cardiac MR Images: Experience from a Large Study

YingLi Lu1, Perry Radau1, Kim A. Connelly1,2, Alexander Dick3, Graham A. Wright1

1Imaging Research, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; 2Cardiology, St Michael's Hospital, Toronto, ON, Canada; 3Cardiology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada

Purpose of this study is to develop a fully automatic left ventricle segmentation method from cine short-axis MR images and evaluate it on a large data set of 147 subjects grouped by pathology. Advantages of this method include that it: 1) does not require manually drawn contours; 2) provides not only endocardial and epicardial contours, but also papillary muscles and trabeculations contours; 3) introduces a roundness measure that automatically locates the left ventricle; 4) simplifies the epicardial contour segmentation by mapping the pixels from Cartesian to approximately polar coordinates.