• DocumentCode
    3598064
  • Title

    Hybrid Diffusion Imaging (HYDI)

  • Author

    Alexander, Andrew L. ; Wu, Yu-Chien ; Venkat, Pradeep C.

  • Author_Institution
    Waisman Lab. for Brain Imaging & Behavior, Wisconsin Univ., Madison, WI
  • fYear
    2006
  • Firstpage
    2245
  • Lastpage
    2248
  • Abstract
    Hybrid diffusion imaging (HYDI) is a new diffusion MRI method for characterizing complex diffusion. Diffusion-weighted measurements are obtained on multiple ´shells´ of constant diffusion weighting. This diffusion encoding approach is amenable to multiple types of diffusion imaging analysis. The inner shells may be used to estimate the diffusion tensor and generate maps of the diffusion anisotropy and mean diffusivity. The outer shell, which has high angular resolution, may be used to estimate the distribution of white matter fiber tracts in a voxel. Finally, all of the data may be used to estimate the diffusion displacement spectrum for characterizing the full diffusion behavior in a voxel. HYDI experiments were performed on the brains of healthy volunteers and the results are presented. Overall, HYDI is an efficient and promising method for characterizing complex diffusion in the human brain and potentially other tissues
  • Keywords
    biodiffusion; biomedical MRI; brain; neurophysiology; brain; diffusion MRI method; diffusion anisotropy; diffusion encoding; diffusion tensor; diffusion-weighted measurement; hybrid diffusion imaging; white matter fiber tracts; Anisotropic magnetoresistance; Brain; Cities and towns; Encoding; High-resolution imaging; Image analysis; Image resolution; Magnetic resonance imaging; Tensile stress; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.259453
  • Filename
    4462238