• DocumentCode
    2510105
  • Title

    How to Reconstruct 3D Coronary Arterial Tree from Two Arbitrary Views

  • Author

    Li, Qin ; Shui, Haomiao ; Hu, Xiaoming ; Liu, Yue ; Wang, Yongtian

  • Author_Institution
    Dept. of Biomed. Eng., Beijing Inst. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Coronary heart disease has become one of the main threats of human health. And coronary angiography is taken as the ldquogold standardrdquo for the assessment of coronary artery disease. But sometimes, the images are difficult to interpret visually because of the crossing and overlapping of the vessels in the angiogram. Three-dimensional (3D) representation of coronary arterial tree topology facilitates calculation of hemodynamic measurements to study myocardial infarction and stenosis. So, clinician can reduce the radiation dose, imaging scan time and duration of human expose to contrast agent during acquisition of angiograms. In this paper, the algorithm for 3D reconstruction of arterial tree from two arbitrary views is presented. The program can be divided into five major steps: vessel segmentation, feature-points recognition, vessel skeleton matching, vessel diameter measurement, and three-dimensional reconstruction. By the help of progress of computer, the algorithm of 3D reconstruction can be calculated faster and faster. It has been possible to realize the real-time display during the surgery.
  • Keywords
    angiocardiography; blood flow measurement; cardiovascular system; diagnostic radiography; diseases; feature extraction; image matching; image reconstruction; image segmentation; medical image processing; 3D coronary arterial tree reconstruction; X-ray imaging; arbitrary views; arterial tree topology; contrast agent; coronary angiography; feature-point recognition; gold standard; heart disease; hemodynamic measurement; myocardial infarction; real-time display; stenosis; surgery; three-dimensional representation; vessel diameter measurement; vessel segmentation; vessel skeleton matching; Angiography; Cardiac disease; Coronary arteriosclerosis; Hemodynamics; Humans; Image reconstruction; Image segmentation; Myocardium; Skeleton; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5162907
  • Filename
    5162907