• DocumentCode
    2728774
  • Title

    Coronary extraction and stenosis quantification in X-ray angiographic imaging

  • Author

    Brieva, J. ; Gálvez, M. ; Toumoulin, C.

  • Author_Institution
    Departamento de Electron., Campus Ciudad de Mexico, Mexico City, Mexico
  • Volume
    1
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    1714
  • Lastpage
    1717
  • Abstract
    This work describes a method to quantify stenosis in X-ray coronary angiography. Vascular edge extraction is first performed based on a deformable spline algorithm. It makes use of directional S-Gabor filters to build an external energy field that is then used in a snake optimisation scheme. A string matching technique is then applied to match the contour points and obtain a trace between the matched points. This trace allows then computing the vessel diameter and deriving quantitative stenosis measurements. Experimental results are presented on simulated data and real images.
  • Keywords
    angiocardiography; blood vessels; diagnostic radiography; edge detection; image matching; medical image processing; splines (mathematics); X-ray coronary angiographic imaging; coronary extraction; deformable spline algorithm; directional S-Gabor filters; snake optimisation; stenosis quantification; string matching technique; vascular edge extraction; Angiography; Arteries; Deformable models; Displacement control; Feature extraction; Lesions; Optical imaging; Spline; Surgery; X-ray imaging; B-Splines snakes; Coronary Angiography; Deformable model; Feature extraction; Stenosis measurement; String matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403515
  • Filename
    1403515