• DocumentCode
    1680404
  • Title

    Tracking leukocytes from in vivo video microscopy using morphological anisotropic diffusion

  • Author

    Acton, Scott T. ; Ley, Klaus

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Virginia Univ., Charlottesville, VA, USA
  • Volume
    2
  • fYear
    2001
  • Firstpage
    300
  • Abstract
    The study of inflammatory disease hinges upon the behavior and movement of leukocytes and their interaction with the endothelium. We put forth a method for tracking leukocytes in vivo, whereas tracking has been demonstrated previously only for in vitro experiments. The tracker is based on the enhancing capability of morphological anisotropic diffusion, a partial differential equation model for adaptively filtering imagery that retains structures of interest. Morphological anisotropic diffusion excels over standard diffusion in the ability to preserve objects of a certain shape and scale, and it improves upon standard morphological filters in terms of edge preservation and adaptive smoothing. We use the video frames enhanced by morphological diffusion for edge-based registration and background removal in the tracking process
  • Keywords
    adaptive filters; diseases; edge detection; image enhancement; image registration; image sequences; mathematical morphology; medical image processing; partial differential equations; smoothing methods; tracking; video signal processing; adaptive filtering; adaptive smoothing; arthritis; background removal; edge preservation; edge-based registration; endothelium; enhancing capability; in vivo video microscopy; inflammatory disease; leukocyte tracking; morphological anisotropic diffusion; multiple sclerosis; partial differential equation model; video frames; Adaptive filters; Anisotropic magnetoresistance; Diseases; Fasteners; Filtering; In vitro; In vivo; Microscopy; Partial differential equations; White blood cells;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2001. Proceedings. 2001 International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    0-7803-6725-1
  • Type

    conf

  • DOI
    10.1109/ICIP.2001.958487
  • Filename
    958487