• DocumentCode
    336588
  • Title

    Extraction of vascular segments in coronarographic image by means of string matching

  • Author

    Brieva, J. ; Toumoulin, C. ; Wendling, F.

  • Author_Institution
    Lab. Traitement du Signal et de l´´Image, Rennes I Univ., France
  • Volume
    2
  • fYear
    1997
  • fDate
    30 Oct-2 Nov 1997
  • Firstpage
    814
  • Abstract
    This work is aimed at the extraction of vascular structures and the formation of high level structural entities, i.e. vascular branches. The proposed approach is based on a string matching technique to associate contour lines. The lines are encoded using the direction of lines and the gradient direction. The measure of similarity between strings is performed using Wagner and Fischer´s (1974) algorithm. A first step realizes a two string matching to associate contour lines. It is then extended to three string matching to form triplets (including the centerlines and contour lines)
  • Keywords
    angiocardiography; diagnostic radiography; feature extraction; medical image processing; string matching; Wagner-Fischer algorithm; associate contour lines; centerlines; digital subtraction angiography; gradient direction; high level structural entities formation; medical diagnostic imaging; triplets; vascular segments extraction; vascular structures; Angiography; Cardiology; Feature extraction; Image edge detection; Image reconstruction; Image segmentation; Image sequences; Performance evaluation; Shape; X-ray imaging;
  • 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.1997.757774
  • Filename
    757774