Interactive Whole-Heart Segmentation in Congenital Heart Disease
Author(s)Pace, Danielle Frances; Dalca, Adrian Vasile; Geva, Tal; Powell, Andrew J.; Moghari, Mehdi H.; Golland, Polina; ... Show more Show less
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We present an interactive algorithm to segment the heart chambers and epicardial surfaces, including the great vessel walls, in pediatric cardiac MRI of congenital heart disease. Accurate whole-heart segmentation is necessary to create patient-specific 3D heart models for surgical planning in the presence of complex heart defects. Anatomical variability due to congenital defects precludes fully automatic atlas-based segmentation. Our interactive segmentation method exploits expert segmentations of a small set of short-axis slice regions to automatically delineate the remaining volume using patch-based segmentation. We also investigate the potential of active learning to automatically solicit user input in areas where segmentation error is likely to be high. Validation is performed on four subjects with double outlet right ventricle, a severe congenital heart defect. We show that strategies asking the user to manually segment regions of interest within short-axis slices yield higher accuracy with less user input than those querying entire short-axis slice
DepartmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
forthcoming in Proceedings of the 18th International Conference on Medical Image Computing and Computer Assisted Interventions
Pace, Danielle F., Adrian V. Dalca, Tal Geva, Andrew J. Powell, Mehdi H. Moghari, and Polina Golland. "Interactive Whole-Heart Segmentation in Congenital Heart Disease." 18th International Conference on Medical Image Computing and Computer Assisted Interventions (October 2015).
Author's final manuscript