• DocumentCode
    1243370
  • Title

    Visualization blackboard: visualizing the visible human

  • Author

    Tiede, Ulf ; Schiemann, Thomas ; Hohne, Karl Heinz

  • Author_Institution
    Univ. Hospital Eppendorf, Germany
  • Volume
    16
  • Issue
    1
  • fYear
    1996
  • fDate
    1/1/1996 12:00:00 AM
  • Firstpage
    7
  • Lastpage
    9
  • Abstract
    Visualization of the human body and its inner structure has challenged artists and scientists for centuries. For 500 years, since Leonardo da Vinci, drawings have been the main resource for learning anatomy because they allow the mixture of realism and abstraction suitable for didactic purposes. With the discovery of X-rays 100 years ago, it became possible to look into the living body. Only since the 1970s have computer tomography (CT) and magnetic resonance imaging (MRI) made it possible to acquire image data in three dimensions. Based on these techniques, 3D computer graphics generated the first models of the living body. These represent a tremendous advance for diagnosis and surgical planning, but the resolution is still poor when viewed from an anatomist´s point of view. The National Library of Medicine´s Visible Human Project provided much more realistic data-the Visible Human data set, created at the University of Colorado School of Medicine. This project produced transverse cross sectional photographic images of a male cadaver with a resolution of 0.33 mm and slice distance of 1 mm
  • Keywords
    biomedical NMR; computerised tomography; data visualisation; medical image processing; physiology; 3D computer graphics; Leonardo da Vinci; Visible Human Project; Visible Human data set; X-rays; anatomy; computer tomography; data visualization; didactic purposes; human body; image data; living body; magnetic resonance imaging; male cadaver; realistic data; surgical planning; transverse cross sectional photographic images; Anatomy; Biological system modeling; Biomedical imaging; Computed tomography; Computer graphics; Humans; Magnetic resonance imaging; Medical diagnostic imaging; Visualization; X-rays;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/38.481559
  • Filename
    481559