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Multimedia Application to the Simulation of Human Musculoskeletal System: A Visual Lower Limb Model from Multimodal Captured Data

Magnenat-Thalmann, N. and Charbonnier, C. and Schmid, J.


Abstract: Musculoskeletal disorders are the most notorious and common causes of severe long-term pain and physical disability, affecting hundreds of millions of people across the world. To prevent and treat these disabling conditions, we are building an accurate generic lower limb model (consisting of bones and soft tissues) that can be simulated in motion, using individual multimodal data. For clinical every-day use, medically relevant validation and an efficient interactive visualization framework are required. Relevant patient’s anatomical, kinematical and mechanical data extracted from images (MRI), motion capture (dynamic MRI, optical motion capture) and other modalities (body scanning, EMG, mechanical properties measuring device), as well as statistical data, are adjusting the generic model to the patient. A fully functional model will be presented with some individual case studies and medical validation.


@inproceedings{488,
  booktitle = {Proceedings of the IEEE International Workshop on Multimedia Signal Processing, Cairns, Australia},
  author = {Magnenat-Thalmann, N. and Charbonnier, C. and Schmid, J.},
  title = {Multimedia Application to the Simulation of Human Musculoskeletal System: A Visual Lower Limb Model from Multimodal Captured Data},
  pages = {520-525},
  month = oct,
  year = {2008},
  topic = {Medical},
  project = {CO-ME}
}