• DocumentCode
    1831108
  • Title

    Voxelized Model of Interstitial Transport in Nervous Tissue Following Direct Infusion into White Matter

  • Author

    Sarntinoranont, M. ; Kim, J.H. ; Mareci, T.H.

  • Author_Institution
    Univ. of Florida, Gainesville
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    2114
  • Lastpage
    2117
  • Abstract
    Direct infusion of therapeutic agents into the brain and spinal cord is a promising local delivery method that circumvents the blood-brain barrier and blood-spinal cord barriers. Predictive models of interstitial (extracellular) distribution during direct infusion would be useful in treatment optimization and planning. To account for large infusion volumes, such models should incorporate tissue boundaries and anisotropic tissue properties. We have developed a rapid, semi-automatic computational modeling approach that utilizes diffusion tensor imaging data to predict interstitial tissue distributions of injected tracers. The developed methodology was validated for direct infusion into the dorsal white matter column of the rat spinal cord.
  • Keywords
    biodiffusion; biological tissues; biomedical MRI; brain; neurophysiology; physiological models; diffusion tensor imaging; direct infusion; interstitial transport; nervous tissue; rat spinal cord; white matter; Aerospace engineering; Animals; Anisotropic magnetoresistance; Diffusion tensor imaging; Image segmentation; Motion measurement; Parkinson´s disease; Predictive models; Pulse measurements; Spinal cord; Animals; Anisotropy; Biological Transport; Brain; Computer Graphics; Diffusion; Equipment Design; Finite Element Analysis; Humans; Image Interpretation, Computer-Assisted; Magnetic Resonance Imaging; Nerve Tissue; Neurons; Rats; Spinal Cord;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4352739
  • Filename
    4352739