• DocumentCode
    1584058
  • Title

    White Matter Fiber Tracking Method by Vector Interpolation with Diffusion Tensor Imaging Data in Human Brain

  • Author

    Zhao, Xin ; Wang, Mingshi ; Gao, Wei ; Liu, Haiying

  • Author_Institution
    Coll. of Precision Instrument & Optoelectronics Eng., Tianjin Univ.
  • fYear
    2006
  • Firstpage
    5786
  • Lastpage
    5789
  • Abstract
    The directional diffusion information obtained by diffusion tensor magnetic resonance imaging (DT-MRI) can be used to noninvasively visualize white matter fibers in human brain. And it is the unique way to reconstruct those fibers in vivo. However, there are some obstacles for the reconstruction process, e.g., partial volume effect caused by low spatial resolution negatively affects the DT-MRI results, and continuous fibers are indicated by the discrete signal on the DT-MRI. A fiber tracking algorithm is proposed in this paper. Major eigenvectors and fractional anisotropy (FA) values of the correlative voxels are used for fiber tracking. As a result, this method shows stronger potential to depict the distribution of white matter fibers in human brain
  • Keywords
    biodiffusion; biomedical MRI; brain; eigenvalues and eigenfunctions; image reconstruction; interpolation; medical image processing; diffusion tensor magnetic resonance imaging; directional diffusion; eigenvectors; fractional anisotropy; human brain; image reconstruction; partial volume effect; vector interpolation; white matter fiber tracking method; Anisotropic magnetoresistance; Diffusion tensor imaging; Eigenvalues and eigenfunctions; Humans; Image reconstruction; In vivo; Instruments; Interpolation; Magnetic resonance imaging; Spatial resolution; Brain white matter; Diffusion tensor imaging (DTI); Fiber tracking; Magnetic resonance imaging (MRI);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1615803
  • Filename
    1615803