An efficient way to improve the robustness of the segmentation of medical images with
deformable models is to use a priori shape knowledge during the adaptation process. In this
work, we investigate how the modeling of the shape variability in shape-constrained
deformable models influences both the robustness and the accuracy of the segmentation of
cardiac multi-slice CT images. Experiments are performed for a complex heart model, which
comprises 7 anatomical parts, namely the four chambers, the myocardium, and trunks of the …