• DocumentCode
    3086152
  • Title

    High resolution reduced-FOV Diffusion Tensor Imaging of the human pons with multi-shot variable density spiral at 3T

  • Author

    Karampinos, Dimitrios C. ; Van, Anh T. ; Olivero, William C. ; Georgiadis, John G. ; Sutton, Bradley P.

  • Author_Institution
    Mechanical Science and Engineering Dept. and the Beckman Institute, in the University of Illinois at Urbana-Champaign, USA
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    5761
  • Lastpage
    5764
  • Abstract
    Diffusion Tensor Imaging (DTI) of localized anatomical regions (i.e brainstem, cervical spinal cord, and optic nerve) is challenging because of the existence of significant susceptibility differences in the surrounding tissues, their high motion sensitivity and the need for high spatial resolution to resolve the underlying complex histoarchitecture. The aim of the present methodology is to achieve high resolution DTI with motion compensating capability in localized regions of the central nervous system. We accomplish this by implementing self-navigated multi-shot variable density spiral encoding with outer volume suppression. In vivo application of the technique on the human brainstem demonstrates a clear delineation of the multiple local neural tracts. We also investigate the partial volume effect on the extracted diffusion anisotropy metrics by varying the in-plane resolution while maintaining a constant signal-to-noise ratio.
  • Keywords
    Central nervous system; Diffusion tensor imaging; Encoding; Humans; Image resolution; Optical sensors; Passive optical networks; Spatial resolution; Spinal cord; Spirals; Algorithms; Artificial Intelligence; Diffusion Magnetic Resonance Imaging; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Nerve Fibers, Myelinated; Pattern Recognition, Automated; Pons; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4650523
  • Filename
    4650523