• DocumentCode
    1154435
  • Title

    White matter fiber tractography via anisotropic diffusion simulation in the human brain

  • Author

    Ning Kang ; Jun Zhang ; Carlson, E.S. ; Gembris, D.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Kentucky, Lexington, KY, USA
  • Volume
    24
  • Issue
    9
  • fYear
    2005
  • Firstpage
    1127
  • Lastpage
    1137
  • Abstract
    A novel approach to noninvasively tracing brain white matter fiber tracts is presented using diffusion tensor magnetic resonance imaging (DT-MRI). This technique is based on successive anisotropic diffusion simulations over the human brain, which are utilized to construct three dimensional diffusion fronts. The fiber pathways are determined by evaluating the distance and orientation from the fronts to their corresponding diffusion seeds. Synthetic and real DT-MRI data are employed to demonstrate the tracking scheme. It is shown that the synthetic tracts are accurately replicated, and several major white matter fiber pathways can be reproduced noninvasively, with the tract branching being allowed. Since simulating the diffusion process, which is truly a physical phenomenon reflecting the underlying architecture of cerebral tissues, makes full use of the diffusion tensor data, including both the magnitude and orientation information, the proposed approach is expected to enhance robustness and reliability in white matter fiber reconstruction.
  • Keywords
    biodiffusion; biomedical MRI; brain; image motion analysis; image reconstruction; medical image processing; neurophysiology; tensors; tracking; anisotropic diffusion simulation; cerebral tissues; diffusion fronts; diffusion seeds; diffusion tensor; fiber pathways; human brain; magnetic resonance imaging; noninvasive tracing; synthetic tracts; tracking scheme; tract branching; white matter fiber reconstruction; white matter fiber tractography; Anisotropic magnetoresistance; Brain modeling; Computer science; Diffusion tensor imaging; Humans; Image reconstruction; In vivo; Magnetic resonance imaging; Nerve fibers; Tensile stress; Anisotropic diffusion simulation; diffusion tensor MRI; fiber tractography; Algorithms; Anisotropy; Artificial Intelligence; Brain; Computer Simulation; Diffusion Magnetic Resonance Imaging; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Models, Neurological; Nerve Fibers, Myelinated; Neural Pathways; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2005.852049
  • Filename
    1501919