• DocumentCode
    509119
  • Title

    Analysis of Coronary Arterial Dynamics from X-ray Angiographic Sequences

  • Author

    Zheng, Sun ; Weirong, Ding

  • Author_Institution
    Dept. of Electron. & Commun. Eng., North China Electr. Power Univ., Baoding, China
  • Volume
    1
  • fYear
    2009
  • fDate
    12-14 Dec. 2009
  • Firstpage
    201
  • Lastpage
    204
  • Abstract
    X-ray coronary angiography (CAG) is one of widely used imaging modalities for clinical diagnosis and interventional treatment of coronary artery diseases. CAG sequences covering one or several cardiac cycles record morphological as well as dynamic information of coronary arterial vessels and related myocardium during cardiac cycles. Detection of coronary arterial dynamic information from CAG sequences is one of important issues in post-processing CAG images. In this paper, two methods based on optical flow and elastic registration respectively are proposed to quantitatively estimate coronary arterial displacement fields from dynamic CAG sequences. Their performances are validated with clinical data and application scopes are analyzed.
  • Keywords
    blood vessels; diagnostic radiography; image sequences; patient diagnosis; X-ray angiographic sequences; X-ray coronary angiography; cardiac cycles; clinical diagnosis; coronary arterial dynamics analysis; coronary artery diseases; elastic registration; imaging modalities; interventional treatment; optical flow; Angiography; Clinical diagnosis; Coronary arteriosclerosis; Image motion analysis; Image sequence analysis; Myocardium; Optical imaging; Optical recording; Performance analysis; X-ray imaging; X-ray angiography; coronary artery; elastic registration; motion analysis; optical flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-0-7695-3865-5
  • Type

    conf

  • DOI
    10.1109/ISCID.2009.57
  • Filename
    5369261