• DocumentCode
    847929
  • Title

    Reconstructing the cross sections of coronary arteries from biplane angiograms

  • Author

    Van Tran, Luong ; Bahn, Robert C. ; Sklansky, Jack

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
  • Volume
    11
  • Issue
    4
  • fYear
    1992
  • fDate
    12/1/1992 12:00:00 AM
  • Firstpage
    517
  • Lastpage
    529
  • Abstract
    An algorithm that reconstructs the cross sections of the lumens of coronary arteries from two mutually orthogonal X-ray projections is described. The algorithm accommodates the possibility of elliptical, crescent, or star shapes. It represents each biplane projection of a transverse slice of the arterial lumen as a binary-valued image. The single-coordinate moments of these two projection images are equal to those of the slice. Since the cross-coordinate moments of the slice are not available from the projections, an algorithm to estimate these moments based on assumptions of smoothness and connectivity is developed. Once all the missing moments are estimated, the image of the slice can be estimated by inverting these moments, using the uniqueness theorem governing the relation between an image and its moments. Preliminary tests of the algorithm on synthetic data, on hardware phantoms and on a segment of a barium-enhanced in vitro coronary artery are reported
  • Keywords
    cardiology; diagnostic radiography; image reconstruction; medical image processing; arterial cross sections reconstruction; binary-valued image; biplane angiograms; connectivity; coronary arteries; crescent; cross-coordinate moments; elliptical; hardware phantoms; medical diagnostic imaging; mutually orthogonal X-ray projections; reconstruction algorithm; single-coordinate moments; smoothness; star; synthetic data; uniqueness theorem; Arteries; Hardware; Image reconstruction; Image segmentation; Imaging phantoms; In vitro; Lifting equipment; Shape; Testing; X-ray imaging;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.192687
  • Filename
    192687