• DocumentCode
    2465003
  • Title

    Densitometric arterial lesion size using morphologically filtered images

  • Author

    Byrom, E. ; Alexander, B. ; Frohlich, T.G. ; Hueter, D.

  • Author_Institution
    Evanston Hospital, IL, USA
  • fYear
    1993
  • fDate
    5-8 Sep 1993
  • Firstpage
    591
  • Lastpage
    594
  • Abstract
    Densitometric measurement of coronary artery narrowing requires a correction for the nonarterial contributions to the density (“background”). Two correction methods were studied. The first samples background in two strips of pixel parallel to the artery edges, and excludes nearby arteries. The second method measures density on a morphologically filtered image with no additional background correction. Measurements of % narrowing are consistent, reproducible and well correlated between the two methods. The first method corrects completely for background, the second less so. Using a set of routine arteriograms, densitometric % narrowing correlates with the visual estimate. Both methods underestimate lesion severity. Morphological filtering was less variable when comparing values measured on different views of same lesion
  • Keywords
    angiocardiography; biomedical measurement; densitometry; medical image processing; % narrowing; coronary artery narrowing; densitometric arterial lesion size; density background; lesion severity; medical diagnostic imaging; morphologically filtered images; nonarterial contributions; routine arteriograms; visual estimate; Arteries; Costs; Density measurement; Filters; Hospitals; Lesions; Matrix converters; Pixel; Strips; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 1993, Proceedings.
  • Conference_Location
    London
  • Print_ISBN
    0-8186-5470-8
  • Type

    conf

  • DOI
    10.1109/CIC.1993.378333
  • Filename
    378333