• DocumentCode
    3548519
  • Title

    PET-SORTEO: a platform for simulating realistic PET studies

  • Author

    Reilhac, Anthonin ; Batan, Gael ; Michel, Christian ; Costes, Nicolas ; Evans, Alan C.

  • Author_Institution
    Montreal Neurological Inst. & Hosp., McConnell Brain Imaging Centre, Montreal, Que.
  • Volume
    7
  • fYear
    2004
  • fDate
    16-22 Oct. 2004
  • Firstpage
    4053
  • Lastpage
    4057
  • Abstract
    We present here the features and validation results of a Monte Carlo-based PET simulation platform designed to address the increasing need of simulated studies. The simulation tool, named PET-SORTEO, includes i) the generation of the raw projections in accordance with both the numerical phantom description as well as with the scanner geometry and physical characteristics, and ii) the correction and reconstruction of the raw data. Validation results show that the platform reliably reproduces the image formation processes and includes correctly the sources of noise and biases
  • Keywords
    Monte Carlo methods; image reconstruction; image scanners; medical image processing; phantoms; positron emission tomography; Monte Carlo-based PET simulation platform; PET-SORTEO; bias sources; image formation processes; noise sources; phantom; raw data correction; raw data reconstruction; scanner geometry; Character generation; Computational modeling; Data analysis; Geometry; Image reconstruction; Imaging phantoms; Interference; Positron emission tomography; Reconstruction algorithms; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2004 IEEE
  • Conference_Location
    Rome
  • ISSN
    1082-3654
  • Print_ISBN
    0-7803-8700-7
  • Electronic_ISBN
    1082-3654
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2004.1466784
  • Filename
    1466784