• DocumentCode
    1533592
  • Title

    Estimating the 3D skeletons and transverse areas of coronary arteries from biplane angiograms

  • Author

    Kitamura, Koichi ; Tobis, Jonathan M. ; Sklansky, Jack

  • Author_Institution
    Dept. of Electr. Eng., California Univ., Irvine, CA, USA
  • Volume
    7
  • Issue
    3
  • fYear
    1988
  • fDate
    9/1/1988 12:00:00 AM
  • Firstpage
    173
  • Lastpage
    187
  • Abstract
    A method for estimating the three-dimensional (3D) skeletons and transverse areas of the lumens of coronary arteries from digital X-ray angiograms is described. The method is based on the use of a 3D generalized cylinder (GC) consisting of a series of 3D elliptical disks transverse to and centered on a 3D skeleton (medial axis) of the coronary arteries. The estimates of the transverse areas are based on a nonlinear least-squares-error estimation technique described by D.W. Marquardt (1963). This method exploits densitometric profiles, boundary estimates, and the orientation of the arterial skeleton in 3-space and includes an automatic artery tracking procedure. It applies an adaptive window to the densitometric profile data that are used in the parameter estimation. Preliminary experimental tests of the procedure on angiograms of in vivo human coronaries and on synthetic images yield encouraging results
  • Keywords
    area measurement; cardiology; diagnostic radiography; 3 D elliptical disks; 3D generalised cylinder; adaptive window; arterial skeleton orientation; biplane angiograms; boundary estimates; coronary arteries lumens; densitometric profiles; digital X-ray angiograms; nonlinear least-squares-error estimation technique; parameter estimation; synthetic images; transverse area; Angiography; Angioplasty; Arteries; Biomedical imaging; Lesions; Parameter estimation; Skeleton; Target tracking; Testing; X-ray imaging;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.7779
  • Filename
    7779