• DocumentCode
    3507515
  • Title

    Fast parametrized volumetric DTI tract parcellation

  • Author

    Ho, Hon Pong ; Harwood, Catherine G. ; Staib, Lawrence H.

  • fYear
    2011
  • fDate
    March 30 2011-April 2 2011
  • Firstpage
    927
  • Lastpage
    930
  • Abstract
    A fast method is proposed for DTI neural tract extraction and visualization. Existing efficient tract extraction approaches are based on localizing fibers from a pre-computed whole brain tractography. However, the tracking parameters of precomputed fibers cannot be easily adjusted quickly. Moreover, high noise in the estimated orientation around crossing and neighboring tracts often diverts fibers away from desired pathways. Therefore, insufficient numbers of localized fibers decreases the quality of the tract visualization and also makes surface reconstruction difficult. Our method constructs a tract surface by considering tensor orientation along and around a single or double-seeded streamline and quickly expands it to a parametric surface. A noise reduction surface filter is applied to the parametric surface to provide a smooth surface rendering. Our method is particularly useful in areas of dense tracts such as the brainstem.
  • Keywords
    biodiffusion; biomedical MRI; brain; feature extraction; image denoising; image reconstruction; medical image processing; rendering (computer graphics); brainstem; double-seeded streamline; fast parametrized volumetric DTI tract parcellation; neural tract extraction; noise reduction surface filter; precomputed whole brain tractography; single-seeded streamline; smooth surface rendering; surface reconstruction; tensor orientation; tract visualization; Biomedical imaging; Diffusion tensor imaging; Surface reconstruction; Tensile stress; Three dimensional displays; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-4127-3
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2011.5872555
  • Filename
    5872555