• DocumentCode
    1229804
  • Title

    Three-dimensional motion estimation with image reconstruction for gated cardiac ECT

  • Author

    Cao, Zixiong ; Gilland, David R. ; Mair, Bernard A. ; Jaszczak, Ronald J.

  • Author_Institution
    Biomed. Eng. Dept., Florida Univ., Gainesville, FL, USA
  • Volume
    50
  • Issue
    3
  • fYear
    2003
  • fDate
    6/1/2003 12:00:00 AM
  • Firstpage
    384
  • Lastpage
    388
  • Abstract
    The primary goal of this work was to develop and evaluate a new method for simultaneous three-dimensional motion estimation and image reconstruction for gated cardiac emission computed tomography (ECT). The method employs a two-step iterative procedure for obtaining the motion and reconstructed image estimates. The method was evaluated using both simulated and physical phantoms designed to mimic myocardial perfusion imaging in ECT. In both the simulated and physical phantom studies, the images reconstructed by the simultaneous method showed improved noise characteristics relative to a standard iterative algorithm. The percent error of the motion estimate ranged from 16% to 59% for the simulated phantom study, and 45% to 65% for the physical phantom study, depending on the position within the myocardium.
  • Keywords
    computerised tomography; image reconstruction; iterative methods; medical image processing; motion estimation; positron emission tomography; single photon emission computed tomography; 3D motion estimation; PET; SPECT; emission computed tomography; gated cardiac ECT; image reconstruction; myocardium; physical phantom study; two-step iterative procedure; Biomedical engineering; Computational modeling; Electrical capacitance tomography; Image reconstruction; Imaging phantoms; Motion analysis; Motion estimation; Myocardium; Positron emission tomography; Single photon emission computed tomography;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.2003.812444
  • Filename
    1208599