• DocumentCode
    3268455
  • Title

    Multimedia application to the simulation of human musculoskeletal system: A visual lower limb model from multimodal captured data

  • Author

    Magnenat-Thalmann, Nadia ; Charbonnier, Caecilia ; Schmid, Jérôme

  • Author_Institution
    MIRALab, Univ. of Geneva, Geneva
  • fYear
    2008
  • fDate
    8-10 Oct. 2008
  • Firstpage
    520
  • Lastpage
    525
  • 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 patientpsilas 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.
  • Keywords
    biomedical MRI; bone; electromyography; medical image processing; multimedia computing; muscle; EMG; MRI; body scanning; human musculoskeletal system simulation; mechanical properties measuring device; multimedia application; multimodal captured data; musculoskeletal disorders; optical motion capture; visual lower limb model; Biological tissues; Biomedical imaging; Bones; Data visualization; Humans; Magnetic resonance imaging; Medical simulation; Multimedia systems; Musculoskeletal system; Pain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing, 2008 IEEE 10th Workshop on
  • Conference_Location
    Cairns, Qld
  • Print_ISBN
    978-1-4244-2294-4
  • Electronic_ISBN
    978-1-4244-2295-1
  • Type

    conf

  • DOI
    10.1109/MMSP.2008.4665133
  • Filename
    4665133