• DocumentCode
    2052831
  • Title

    Enhancement of nerve bundles in white matter using MR diffusion tensor maps

  • Author

    Sato, Tetsuo ; Minato, Kotaro ; Sadato, Norihiro ; Yonekura, Yoshiharu ; Kabasawa, Hiroyuki

  • Author_Institution
    Nara Inst. of Sci. & Technol., Ikoma, Japan
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1017
  • Abstract
    We propose a method for detecting nerve fiber bundles in white matter using diffusion tensor maps and apply the method to practical data. We can calculate diffusion tensor maps by combining several diffusion weighted images (DWI) that correspond to the mobility of water protons in 3D spaces. The intensity of DWI depends on the respective orientation of fiber bundles and the gradient direction at each different imaging slice. Specifically in white matter, we see a wide variation in diffusion. There are still qualitative analyses about DWI and few quantitative analyses about diffusion tensor maps. This report is essentially dedicated to make structural brain maps about white matter fiber bundles and suggest the usefulness for analyses of brain function
  • Keywords
    biodiffusion; biomedical MRI; brain; image enhancement; image representation; medical image processing; neurophysiology; 3D representation; 3D spaces; MRI diffusion tensor maps; diffusion weighted images; eigenvalues; fiber bundle orientation; fractional anisotropy; gradient direction; inner product sum; mask image; mobility of water protons; nerve fiber bundles detection; random Brownian motion; structural brain maps; threshold image; white matter; Anisotropic magnetoresistance; Biomedical imaging; Diffusion processes; Magnetic anisotropy; Magnetic resonance imaging; Nerve fibers; Perpendicular magnetic anisotropy; Protons; Symmetric matrices; Tensile stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium, 1999. Conference Record. 1999 IEEE
  • Conference_Location
    Seattle, WA
  • ISSN
    1082-3654
  • Print_ISBN
    0-7803-5696-9
  • Type

    conf

  • DOI
    10.1109/NSSMIC.1999.845834
  • Filename
    845834