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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Local Cardiac Wall Motion Estimation from Retrospectively Gated CT Images
verfasst von : Jochen Peters, Olivier Ecabert, Holger Schmitt, Michael Grass, Jürgen Weese
Erschienen in: Functional Imaging and Modeling of the Heart
Verlag: Springer Berlin Heidelberg
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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.