This paper presents a nonrigid image registration method for cardiac deformation recovery from 3D MR image sequences. The main contribution of this work is that the method is mathematically guaranteed to generate incompressible deformations. This is a desirable property since the myocardium has been shown to be close to incompressible. The method is based on an incompressible deformable model that can include all four cardiac chambers and has a relatively small number of parameters. The myocardium needs to be segmented in an initial frame after which the method automatically determines the tissue deformation everywhere in the myocardium throughout the cardiac cycle. The method has been tested with four 3D cardiac MR image sequences for the left and right ventricles and it has been evaluated against manual segmentation. The volume agreement between the model and the manual segmentation exceeds 90% and the distance between the model and the manually generated endocardial and epicardial surface is 1.65mm on average. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Bistoquet, A., Parks, W. J., & Škrinjar, O. (2006). Myocardial deformation recovery using a 3D biventricular incompressible model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4057 LNCS, pp. 110–119). Springer Verlag. https://doi.org/10.1007/11784012_14
Mendeley helps you to discover research relevant for your work.