• DocumentCode
    2967419
  • Title

    Automatic registration and superimposed display of CAG and bull´s eye map of myocardial SPECT

  • Author

    Haraguchi, R. ; Sugimoto, N. ; Eiho, S. ; Ishida, Y.

  • Author_Institution
    Graduate Sch. of Informatics, Kyoto Univ., Japan
  • fYear
    2002
  • fDate
    22-25 Sept. 2002
  • Firstpage
    625
  • Lastpage
    628
  • Abstract
    We reported at the former CiC conference a method of superimposing a coronary arterial tree on a bull´s eye map of SPECT. In the method, the left ventricular epicardial surface model (LV surface model) was constructed from SPECT data. Coronary images corresponding to the bull´s eye map was obtained by mapping bi-plane coronary angiograms (CAG) onto the LV surface model. We improve the matching degree and apply the Powell method for parameter estimation. Furthermore, we improve the procedure for generating resultant images. These improvements enable us to automate several processes that required interactive procedures in the former work. We validated the improved method by numerical experiments with an artificial data set and applied the method to a clinical data set successfully.
  • Keywords
    angiocardiography; blood vessels; cardiovascular system; image matching; image registration; medical image processing; parameter estimation; single photon emission computed tomography; artificial data set; automatic registration; bi-plane coronary angiograms; bull´s eye map; clinical data set; coronary arterial tree; coronary images; left ventricular epicardial surface model; matching degree; myocardial SPECT; numerical experiments; parameter estimation; superimposed display; Arteries; Cardiology; Displays; Hospitals; Image generation; Informatics; Myocardium; Parameter estimation; Radiology; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2002
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-7735-4
  • Type

    conf

  • DOI
    10.1109/CIC.2002.1166850
  • Filename
    1166850