• DocumentCode
    840183
  • Title

    Improving the precision and accuracy of Monte Carlo simulation in positron emission tomography

  • Author

    Picard, Y. ; Thompson, C.J. ; Marrett, S.

  • Author_Institution
    Montreal Neurol. Inst., McGill Univ., Que., Canada
  • Volume
    39
  • Issue
    4
  • fYear
    1992
  • fDate
    8/1/1992 12:00:00 AM
  • Firstpage
    1111
  • Lastpage
    1116
  • Abstract
    The authors present the methods used to improve the precision and accuracy of Monte Carlo simulations which are executed in different phases for the source distribution and the phantom, the collimators, and the detectors. This has been achieved by giving a more appropriate description of the materials used in the simulations and a better fitting of the Compton scattering and photoelectric effect absorption coefficients of the materials. For many events in which the original rays were directed generally towards the detectors, the precision of the final simulation can be improved by recycling them without reseeding the random number generator, giving them a second or greater chance of being detected. For simulation programs which cascade the simulation process into source, collimator, and detection phases, recycling can improve the precision of the simulation without requiring larger files of events from the source distribution simulation phase
  • Keywords
    Compton effect; Monte Carlo methods; computerised tomography; photoelectricity; radioisotope scanning and imaging; Compton scattering; Monte Carlo simulation; absorption coefficients; accuracy; phantom; photoelectric effect; positron emission tomography; precision; random number generator; recycling; simulation phase; source distribution; Absorption; Collimators; Detectors; Discrete event simulation; Event detection; Imaging phantoms; Phase detection; Photovoltaic effects; Recycling; Scattering;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/23.159769
  • Filename
    159769