Abstract
This paper presents a novel approach for multi-organ (musculoskeletal system) automatic registration and segmentation from clinical MRI datasets, based on discrete deformable models (simplex meshes). We reduce the computational complexity using multi-resolution forces, multi-resolution hierarchical collision handling and large simulation time steps (implicit integration scheme), allowing real-time user control and cost-efficient segmentation. Radial forces and topological constraints (attachments) are applied to regularize the segmentation process. Based on a medial axis constrained approximation, we efficiently characterize shapes and deformations. We validate our methods for the hip joint and the thigh (20 muscles, 4 bones) on 4 datasets: average error=1.5mm, computation time=15min. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Gilles, B., Moccozet, L., & Magnenat-Thalmann, N. (2006). Anatomical modelling of the musculoskeletal system from MRI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4190 LNCS-I, pp. 289–296). Springer Verlag. https://doi.org/10.1007/11866565_36
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