• DocumentCode
    2555342
  • Title

    Visualizing diffusion tensor images of the mouse spinal cord

  • Author

    Laidlaw, David H. ; Ahrens, Eric T. ; Kremers, David ; Avalos, Matthew J. ; Jacobs, Russell E. ; Readhead, Carol

  • Author_Institution
    California Inst. of Technol., Pasadena, CA, USA
  • fYear
    1998
  • fDate
    24-24 Oct. 1998
  • Firstpage
    127
  • Lastpage
    134
  • Abstract
    Within biological systems, water molecules undergo continuous stochastic Brownian motion. The diffusion rate can give clues to the structure of the underlying tissues. In some tissues, the rate is anisotropic. Diffusion-rate images can be calculated from diffusion-weighted MRI. A 2D diffusion tensor image (DTI) and an associated anatomical scalar field define seven values at each spatial location. We present two new methods for visually representing DTIs. The first method displays an array of ellipsoids, where the shape of each ellipsoid represents one tensor value. The ellipsoids are all normalized to approximately the same size so that they can be displayed simultaneously in context. The second method uses concepts from oil painting to represent the seven-valued data with multiple layers of varying brush strokes. Both methods successfully display most or all of the information in DTIs and provide exploratory methods for understanding them. The ellipsoid method has a simpler interpretation and explanation than the painting-motivated method; the painting-motivated method displays more of the information and is easier to read quantatively. We demonstrate the methods on images of the mouse spinal cord. The visualizations show significant differences between spinal cords from mice suffering from experimental allergic encephalomyelitis and spinal cords from wild-type mice. The differences are consistent with differences shown histologically and suggest that our new non-invasive imaging methodology and visualization of the results could have early diagnostic value for neurodegenerative diseases.
  • Keywords
    Brownian motion; biodiffusion; biology computing; biomedical MRI; data visualisation; diseases; neurophysiology; tensors; H2O; anatomical scalar field; anisotropic diffusion rate; brush strokes; diagnostic value; diffusion tensor image visualization; diffusion-weighted MRI; ellipsoid array; experimental allergic encephalomyelitis; histology; molecular stochastic Brownian motion; mouse spinal cord; multi-valued visualization; neurodegenerative diseases; noninvasive imaging methodology; normalization; oil painting; tensor fields; tensor values; underlying tissue structure; Anisotropic magnetoresistance; Biological systems; Displays; Ellipsoids; Magnetic resonance imaging; Mice; Spinal cord; Stochastic systems; Tensile stress; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visualization '98. Proceedings
  • Conference_Location
    Research Triangle Park, NC, USA
  • ISSN
    1070-2385
  • Print_ISBN
    0-8186-9176-X
  • Type

    conf

  • DOI
    10.1109/VISUAL.1998.745294
  • Filename
    745294