• DocumentCode
    1622582
  • Title

    Minimum distance methods for transmission tomography

  • Author

    Anderson, J.M.M. ; Yust, C.K. ; Mair, B.A.

  • Author_Institution
    Florida Univ., Gainesville, FL, USA
  • Volume
    3
  • fYear
    1996
  • Firstpage
    1767
  • Abstract
    The authors present minimum distance methods for reconstructing transmission tomography images. Specifically, the methods the authors propose estimate the attenuation density by minimizing least-squares (weighted and unweighted) and Kullback-Leibler distances. The algorithms are compared using a simulated phantom and Poisson data
  • Keywords
    image reconstruction; least squares approximations; medical image processing; positron emission tomography; PET images reconstruction; Poisson data; algorithms; attenuation density estimation; medical diagnostic imaging; minimum distance methods; nuclear medicine; simulated phantom data; transmission tomography; Attenuation; Computational efficiency; Image reconstruction; Imaging phantoms; Iterative methods; Radiation dosage; Radiation safety; Reconstruction algorithms; Single photon emission computed tomography; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium, 1996. Conference Record., 1996 IEEE
  • Conference_Location
    Anaheim, CA
  • ISSN
    1082-3654
  • Print_ISBN
    0-7803-3534-1
  • Type

    conf

  • DOI
    10.1109/NSSMIC.1996.587972
  • Filename
    587972