• DocumentCode
    336602
  • Title

    Automatic artery skeleton extraction

  • Author

    Haris, K. ; Efstratiadis, S.N. ; Maglaveras, N. ; Gourassas, J. ; Pappas, C. ; Louridas, G.

  • Author_Institution
    Fac. of Med., Aristotelian Univ. of Thessaloniki, Greece
  • Volume
    2
  • fYear
    1997
  • fDate
    30 Oct-2 Nov 1997
  • Firstpage
    852
  • Abstract
    A new approach to the problem of extracting the skeletons of arteries in angiograms is proposed. The peaks, ridges and saddles of the digitized angiogram are considered as candidate artery skeleton points and are determined by analyzing the first and second order partial derivatives of the angiogram. Next, the binary image of candidate skeleton points is constructed and thinned. The large number of short linear branches, due to noise and irrelevant anatomical structures, are eliminated through connected component labeling of skeleton curves and pruning. Experimental results on digitized angiograms are presented
  • Keywords
    blood vessels; diagnostic radiography; feature extraction; medical image processing; automatic artery skeleton extraction; candidate artery skeleton points; connected component labeling; digitized angiogram; irrelevant anatomical structures; medical diagnostic imaging; peaks; pruning; ridges; saddles; short linear branches; skeleton curves; Arteries; Biomedical imaging; Biomedical informatics; Cardiology; Filters; Hospitals; Labeling; Medical diagnostic imaging; Skeleton; Surface topography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-4262-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.1997.757792
  • Filename
    757792