Large steps in cloth simulation
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
General Object Reconstruction Based on Simplex Meshes
International Journal of Computer Vision
Real-Time Animation of Realistic Virtual Humans
IEEE Computer Graphics and Applications
Implementing Fast Cloth Simulation with Collision Response
CGI '00 Proceedings of the International Conference on Computer Graphics
Anatomically-based models for physical and geometric reconstruction of humans and other animals
Anatomically-based models for physical and geometric reconstruction of humans and other animals
Deformable M-Reps for 3D Medical Image Segmentation
International Journal of Computer Vision - Special Issue on Research at the University of North Carolina Medical Image Display Analysis Group (MIDAG)
Creating and Simulating Skeletal Muscle from the Visible Human Data Set
IEEE Transactions on Visualization and Computer Graphics
MRI Bone Segmentation Using Deformable Models and Shape Priors
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Fast Musculoskeletal Registration Based on Shape Matching
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Wavelet-driven knowledge-based MRI calf muscle segmentation
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Interactive segmentation of volumetric medical images for collaborative telemedicine
3DPH'09 Proceedings of the 2009 international conference on Modelling the Physiological Human
A practical framework for generating volumetric meshes of subject-specific soft tissue
The Visual Computer: International Journal of Computer Graphics
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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.