• DocumentCode
    3427825
  • Title

    A Comprehensive Methodology to Visualize Articulations for the Physiological Human

  • Author

    Magnenat-Thalmann, Nadia ; Schmid, Jérôme ; Assassi, Lazhari ; Volino, Pascal

  • Author_Institution
    MIRALab, Univ. of Geneva, Carouge, Switzerland
  • fYear
    2010
  • fDate
    20-22 Oct. 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Musculoskeletal disorders (MSDs) account for the largest fraction of temporary and permanent disabilities. Osteoarthritis (OA) is one of the most common MSDs which is characterized by a degeneration of articular cartilages. Understanding and preventing OA are of paramount importance in our aging yet very active society, and in this context, computer-assisted models of articulations are highly demanded by biomechanical and medical communities. To investigate the causes of some idiopathic OA, we have devised a unique comprehensive methodology to simulate musculoskeletal models of human articulations. Built from a rich variety of acquisition modalities (MRI, Motion capture, Body scanning, etc.) and innovative research, these models are fully subject-specific and account for anatomy, motion and biomechanical behavior of the articulations. This paper presents a complete overview of the methodology with medical validation and clinical case studies.
  • Keywords
    biomechanics; bone; diseases; medical diagnostic computing; muscle; acquisition modalities; articular cartilage; biomechanical behavior; clinical case studies; computer assisted model; innovative research; medical communities; medical validation; musculoskeletal disorder; osteoarthritis; physiological human; unique comprehensive methodology; Biological system modeling; Bones; Computational modeling; Deformable models; Hip; Joints; Articulation; Biomechanics; Musculoskeletal Modeling; Soft-tissue Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyberworlds (CW), 2010 International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-8301-3
  • Electronic_ISBN
    978-0-7695-4215-7
  • Type

    conf

  • DOI
    10.1109/CW.2010.41
  • Filename
    5657153