• DocumentCode
    1618609
  • Title

    A Comparative Study and Analysis on Techniques for Diffusion-Weighted Magnetic Resonance Imaging

  • Author

    Wu, Yuan-Hung ; Wen-Yi Issac Tseng ; Chang, Chein-I

  • Author_Institution
    Dept. of Comput. Sci. & Electr. Eng., Maryland Univ., Baltimore, MD
  • fYear
    2006
  • Firstpage
    3024
  • Lastpage
    3026
  • Abstract
    Neural scientists have long been eager to find the subcortical pathways between different parts of cortex in human brain. By far, diffusion weighted-magnetic resonance imaging (DW-MRI) is the only noninvasive technique to achieve this task in vivo. It applies a bipolar gradient to reveal diffusion of water molecules. With the assumption that the directions of neural fibers parallel to the directions in which water molecules diffuse, we can use the DW-MRI to track the neural fibers. Various signal processing techniques have been developed in extracting the directional information via DW-MRI. In this study, four techniques that are currently being used but have not been rigorously compared for performance are evaluated via custom-designed synthetic data and phantoms. By combining different techniques in accordance with their specialties, a better approach to track finer subcortical pathways in vivo can be derived and used to verify theories in human brain mapping
  • Keywords
    biodiffusion; biomedical MRI; brain; medical image processing; phantoms; bipolar gradient; cortex; diffusion-weighted magnetic resonance imaging; human brain; neural fibers; phantoms; signal processing; subcortical pathways; Brain mapping; Data mining; Humans; Image analysis; Imaging phantoms; In vivo; Magnetic analysis; Magnetic resonance imaging; Noninvasive treatment; Signal processing;
  • 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.2005.1617111
  • Filename
    1617111