Estimation of the deformation field for the left ventricle walls in 4-D multislice computerized tomography

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Abstract

This paper describes a method for estimating the deformation field of the Left Ventricle (LV) walls from a 4-D Multi Slice Computerized Tomography (MSCT) database. The approach is composed of two stages: in the first, a 2-D non-rigid correspondence algorithm matches a set of contours on the LV at consecutive time instants. In the second, a 3-D curvature-based correspondence algorithm is used to optimize the initial approximate correspondence. The dense displacement field is obtained based on the optimized correspondence. Parameters like LV volume, radial contraction and torsion are estimated. The algorithm is validated on synthetic objects and tested using a 4-D MSCT database. Results are promising as the error of the displacement vectors is 2.69 ± 1.38mm using synthetic objects and, when tested in real data, local parameters extracted agree with values obtained using tagged magnetic resonance imaging. © Springer-Verlag Berlin Heidelberg 2005.

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Bravo, A., Medina, R., Passariello, G., & Garreau, M. (2005). Estimation of the deformation field for the left ventricle walls in 4-D multislice computerized tomography. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3773 LNCS, pp. 348–359). Springer Verlag. https://doi.org/10.1007/11578079_37

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