• DocumentCode
    2804459
  • Title

    A simulation model of the counting-rate response of clinical pet systems and it´s application to optimize the injected dose

  • Author

    Karakatsanis, Nicolas ; Nikita, Konstantina

  • Author_Institution
    Nat. Tech. Univ. of Athens, Athens, Greece
  • fYear
    2009
  • fDate
    June 28 2009-July 1 2009
  • Firstpage
    398
  • Lastpage
    401
  • Abstract
    The design principles of clinical PET data acquisition protocols require images of high statistical quality, while the scanning time remains relatively short and the total amount of radioactive dose does not exceed a level, above which significant count losses are observed. This can be satisfied by determining a range of injected dose levels where the performance parameter of noise equivalent count rate (NECR) is maximized. However certain patient- and scanner-related parameters can shift the range. We propose a methodology to design a model of the NECR response to certain patient-scanner parameters, based on validated simulations of imaging systems and realistic human phantoms. We used Geant4 application for tomography emission and investigated the relationship between the NECR and the patient size, the coincidence time window of the scanner, the dead-time of the system´s electronics and the energy window.
  • Keywords
    data acquisition; dosimetry; optimisation; phantoms; positron emission tomography; Geant4 application; clinical PET systems; count losses; counting-rate response; data acquisition; human phantoms; imaging systems; injected dose optimization; noise equivalent count rate; patient-scanner parameters; radioactive dose; tomography emission; Biological system modeling; Data acquisition; Design optimization; Geometry; Humans; Imaging phantoms; Noise level; Positron emission tomography; Predictive models; Protocols; Monte Carlo methods; Positron Emission Tomography; biomedical imaging; dose; optimization methods; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
  • Conference_Location
    Boston, MA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-3931-7
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2009.5193068
  • Filename
    5193068