• DocumentCode
    2636809
  • Title

    Volumetric harmonic brain mapping

  • Author

    Wang, Yalin ; Gu, Xianfeng ; Chan, Tony F. ; Thompson, Paul M. ; Yau, Shing-Tung

  • Author_Institution
    Math. Dept., California Univ., Los Angeles, CA, USA
  • fYear
    2004
  • fDate
    15-18 April 2004
  • Firstpage
    1275
  • Abstract
    We developed two different techniques to study volume mapping problem in Computer Graphics. The first one is to find a harmonic map from a 3 manifold to a 3D solid sphere and the second is a sphere carving algorithm which calculates the simplicial decomposition of volume adapted to surfaces. In this paper, we apply these two techniques to brain mapping problem. We use a tetrahedral mesh to represent the brain volume. The experimental results on both synthetic and brain volume data are reported. We suggest that 3D harmonic mapping of brain volumes to a solid sphere can provide a canonical coordinate system for feature identification and segmentation, as well as anatomical normalization.
  • Keywords
    biomedical MRI; brain; volume measurement; anatomical normalization; brain mapping; brain volume; canonical coordinate system; computer graphics; feature identification; feature segmentation; harmonic map; sphere carving algorithm; tetrahedral mesh; volume mapping; Biomedical imaging; Brain mapping; Computer graphics; Conformal mapping; Image analysis; Image segmentation; Magnetic resonance imaging; Mathematics; Neuroimaging; Solids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
  • Print_ISBN
    0-7803-8388-5
  • Type

    conf

  • DOI
    10.1109/ISBI.2004.1398778
  • Filename
    1398778