• DocumentCode
    1807105
  • Title

    Identifying vascular features with orientation specific filters and B-spline snakes

  • Author

    Klein, Andreas ; Egglin, Thomas K. ; Pollak, Jeffrey S. ; Lee, Forrester ; Amini, Amir A.

  • Author_Institution
    Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
  • fYear
    1994
  • fDate
    25-28 Sep 1994
  • Firstpage
    113
  • Lastpage
    116
  • Abstract
    The authors present several new techniques for determining vessel boundaries, or enhancing their centerline features. A bank of S-Gabor filter pairs are used to create an energy field. Vessels are represented by B-spline snakes, and depending on whether vascular boundaries or centerlines are to be determined, they are optimized on appropriate filter outputs. The optimization engine is a new dynamic programming algorithm which determines the parametric curve of least energy, and can be used to optimize B-spline curves of any order. Results are demonstrated on a number of common angiograms including preand post-angioplasty coronary angiograms, and a carotid arteriogram
  • Keywords
    angiocardiography; diagnostic radiography; dynamic programming; feature extraction; filters; medical image processing; optimisation; splines (mathematics); S-Gabor filter pairs bank; carotid arteriogram; common angiograms; contrast angiography; dynamic programming algorithm; filter outputs; least energy parametric curve; medical diagnostic imaging; optimization engine; postangioplasty coronary angiogram; preangioplasty coronary angiogram; vascular features identification; vessel boundaries determination; Biomedical imaging; Dynamic programming; Engines; Filter bank; Filtering; Frequency; Gabor filters; Medical diagnostic imaging; Reproducibility of results; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 1994
  • Conference_Location
    Bethesda, MD
  • Print_ISBN
    0-8186-6570-X
  • Type

    conf

  • DOI
    10.1109/CIC.1994.470236
  • Filename
    470236