Automated Model-Based Left Ventricle Segmentation in Cardiac MR Images
نویسندگان
چکیده
We present a fully automated system for segmenting the Left Ventricle (LV) in cardiac MR images based on statistical and deformable models. A Project-Out Inverse Compositional Active Appearance Model of 3D LV shape produces segmentations that are refined using a unified statistical/deterministic deformable model. A new multi-scale detector, based on the Histogram of Oriented Gradients (HoG), produces initial estimates of LV position and scale in the MR volume. The performance of the HoG detector and the deformable-model-based segmentation components are evaluated on the 30 MICCAI Grand Challenge test images. The average F-measure for detector bounding box overlap is 0.89. The average F-measures for contour overlap are 0.80 (endo), 0.82 (epi), and 0.46 (myocardium).
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