• DocumentCode
    1705947
  • Title

    Attenuation correction using SPECT emission data only

  • Author

    Gourion, Daniel ; Noll, Dominikus ; Gantet, Pierre ; Celler, Anna ; Esquerré, Jean-Paul

  • Author_Institution
    Lab. de Biophys. Purpan, Toulouse, France
  • Volume
    3
  • fYear
    2001
  • Firstpage
    1522
  • Abstract
    A major step towards quantitative SPECT imaging may be achieved if tissue attenuation and scatter effects are accounted for in the image reconstruction process. The current trend is to calculate the tissue attenuation map prior to inversion by performing a transmission scan in parallel with the SPECT session. Inverting the transmission data provides the attenuation coefficient distribution, and iterative reconstruction methods like the maximum likelihood expectation maximization (ML-EM) algorithm are then used to reconstruct the unknown emission source. Here we consider an alternative way to attack the SPECT reconstruction problem, which consists in estimating the attenuation map from the emission data only. This leads to an inverse mathematical problem, which could no longer be solved by the notorious iterative procedures. Instead, an optimization-based approach is used. We present a successful strategy, and compare several optimization-based methods.
  • Keywords
    image reconstruction; inverse problems; maximum likelihood estimation; medical image processing; single photon emission computed tomography; SPECT; attenuation correction; image reconstruction; inverse problem; maximum likelihood expectation maximization algorithm; scatter; tissue attenuation; Attenuation; Helium; Image reconstruction; Information analysis; Iterative algorithms; Iterative methods; Maximum likelihood estimation; Optimization methods; Reconstruction algorithms; Scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2001 IEEE
  • ISSN
    1082-3654
  • Print_ISBN
    0-7803-7324-3
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2001.1008627
  • Filename
    1008627