• DocumentCode
    385378
  • Title

    Neurological applications of quantitative diffusion tensor imaging

  • Author

    Ulug, Aziz M.

  • Author_Institution
    Department of Radiology, Weill Medical College of Cornell University, New York, NY, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1171
  • Abstract
    Diffusion tensor imaging an emerging MR imaging modality which has started to be used in clinical setting. Here, we are describing use of quantitative DTI in diagnosis of upper motor neuron diseases: amyotropic lateral sclerosis and primary lateral sclerosis. Upper motor neuron diseases are difficult to diagnose using imaging means. Currently, diagnosis is usually one of exclusion requiring careful clinical examination and series of tests to rule out diseases that may mimic upper motor neuron diseases. Upper motor neuron diseases present with progressive degeneration of corticospinal tract. The relentless disease progression ultimately leads to severe spastic spinobulbar paresis. Since diffusion tensor imaging is sensitive to the changes in tissue microstructure, it is an ideal tool to use in diagnosis of upper motor neuron diseases where the damage in corticospinal tract is microscopic.
  • Keywords
    biodiffusion; biomedical MRI; diseases; neurophysiology; tensors; corticospinal tract damage; magnetic resonance imaging; medical diagnostic imaging; progressive degeneration; relentless disease progression; severe spastic spinobulbar paresis; tissue microstructure changes; upper motor neuron diseases diagnosis; Anisotropic magnetoresistance; Biomedical imaging; Degenerative diseases; Diffusion tensor imaging; Neurons; Pixel; Spinal cord; Tensile stress; Testing; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7612-9
  • Type

    conf

  • DOI
    10.1109/IEMBS.2002.1106331
  • Filename
    1106331