• DocumentCode
    3566632
  • Title

    A novel 3D-reconstruction approach from biplane angiographic images

  • Author

    Cheriet, Farida ; Meunier, Jean ; Lesp?©rance, Jacques ; Bertrand, Michel

  • Author_Institution
    Dept. d´´Inf. et de Recherche Oper., Montreal Univ., Que., Canada
  • fYear
    1994
  • Firstpage
    500
  • Abstract
    The authors elaborate a 3D reconstruction method, using angiograms acquired daily by the clinician, without any special calibration procedure during the X-ray examination. The absolute geometry of the X-ray imaging system is determined by an iterative procedure based on the minimization of the mean squared distances between observed and predicted projections of a set of reference points (⩾12) identified by the clinician on a simultaneous pair of images. Once the geometry of the imaging system has been found, the 3D structure of interest is retrieved from classical methods of binocular stereovision. The method should be particularly useful in clinical applications since it needs very little intervention from the clinician
  • Keywords
    diagnostic radiography; image reconstruction; medical image processing; 3D-reconstruction approach; binocular stereovision; biplane angiographic images; calibration procedure; images pair; imaging system geometry; iterative procedure; mean squared distances minimization; medical diagnostic imaging; reference points predicted projections; Calibration; Cardiology; Geometry; Image reconstruction; Image retrieval; Imaging phantoms; Optical imaging; Reconstruction algorithms; Solid modeling; Transmission line matrix methods; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
  • Print_ISBN
    0-7803-2050-6
  • Type

    conf

  • DOI
    10.1109/IEMBS.1994.411934
  • Filename
    411934