• DocumentCode
    1495207
  • Title

    Attenuation compensation of cone beam SPECT images using maximum likelihood reconstruction

  • Author

    Manglos, Stephen H. ; Thomas, F. Deaver ; Capone, Randolph B.

  • Author_Institution
    Dept. of Radiol., State Univ. of New York, Syracuse, NY, USA
  • Volume
    10
  • Issue
    1
  • fYear
    1991
  • fDate
    3/1/1991 12:00:00 AM
  • Firstpage
    66
  • Lastpage
    73
  • Abstract
    Attenuation compensation for cone beam single-photon emission computed tomography (SPECT) imaging is performed by cone beam maximum likelihood reconstruction with attenuation included in the transition matrix. Since the transition matrix is too large to be stored in conventional computers, the E-M maximum likelihood estimator is implemented with a ray-tracing algorithm, efficiently recalculating each matrix element as needed. The method was applied and tested in both uniform and nonuniform density phantoms. Test projections sets were obtained from Monte Carlo simulations and experiments using a commercially available cone beam collimator. For representative regions of interest. reconstruction of a uniform sphere is accurate to within 3% throughout, in comparison to a reference image simulated and reconstructed without attenuation. High- and low-activity regions in a uniform density are reconstructed accurately, except that low-activity regions in a more active background have a small error. This error is explainable by the nonnegativity constraints of the E-M estimator and the image statistical noise
  • Keywords
    computerised tomography; radioisotope scanning and imaging; Monte Carlo simulations; attenuation compensation; cone beam SPECT images; image statistical noise; maximum likelihood reconstruction; medical diagnostic imaging; nonnegativity constraints; nuclear medicine; ray-tracing algorithm; single-photon emission computed tomography; transition matrix; uniform sphere reconstruction; Attenuation; Collimators; Concurrent computing; Geometry; Image reconstruction; Image sampling; Imaging phantoms; Maximum likelihood estimation; Single photon emission computed tomography; Testing;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.75612
  • Filename
    75612