• DocumentCode
    2291311
  • Title

    Extracting geometric models of muscles from the visible human data

  • Author

    Dong, Feng ; Clapworthy, Gordon J. ; Yao, Jialiang ; Krokos, Meleagros

  • Author_Institution
    Dept. of Comput. & Inf. Sci., De Montfort Univ., Milton Keynes, UK
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    362
  • Lastpage
    365
  • Abstract
    Muscle simulation should be an important component of human modelling, but to date there have been few attempts to demonstrate muscle structures in an anatomically-correct way. This paper proposes a feature-based approach to muscle modelling which attempts to provide models for human musculature based on the real anatomical structures. These models provide a good visual description and form a sound basis for further developments towards medically-accurate simulation of human bodies. To allow for the wide variety of muscle shapes encountered in the body, the geometric models are based on muscle features identified from radiological data. These results are realistic models with correct anatomical structures
  • Keywords
    computational geometry; digital simulation; medical computing; muscle; realistic images; anatomical structures; feature-based approach; geometric models; human modelling; medical simulation; muscle simulation; radiological data; realistic models; visible human data; visual description; Animation; Biological system modeling; Computational modeling; Computer simulation; Data mining; Humans; Joints; Muscles; Shape; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualization, 2000. Proceedings. IEEE International Conference on
  • Conference_Location
    London
  • ISSN
    1093-9547
  • Print_ISBN
    0-7695-0743-3
  • Type

    conf

  • DOI
    10.1109/IV.2000.859782
  • Filename
    859782