Shape Constrained Deformable Models for 3D Medical Image Segmentation
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
The generation of patient-specific heart models for diagnosis and interventions
STACOM'10/CESC'10 Proceedings of the First international conference on Statistical atlases and computational models of the heart, and international conference on Cardiac electrophysiological simulation challenge
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The heart is a dynamic organ and important characteristics about its function can be derived from 4D (3D + time) data. In this paper we present an approach for the automatic local tracking of the cardiac surfaces with sub-voxel accuracy in time series of computed tomography image volumes. First, a multi-compartment mesh is adapted to a single reconstructed image. This adapted mesh is then propagated through the whole time series. Chamber volumes and local surface motion can be estimated at arbitrary time points. Experiments on 15 time series indicate that the system is very precise and robust with respect to the selection of the start phase of the propagation. The results can be used, e.g., for dyssynchronity assessment or comparison with electromechanical models of the full heart.