• DocumentCode
    2808571
  • Title

    A model of the high count rate performance of NaI(Tl)-based PET detectors

  • Author

    Wear, James A. ; Karp, Joel S. ; Freifelder, Richard ; Mankoff, David A. ; Muehllehner, Gerd

  • Author_Institution
    Dept. of Radiol., Pennsylvania Univ., Philadelphia, PA, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    9-15 Nov 1997
  • Firstpage
    1203
  • Abstract
    A detailed model of the response of large-area NaI(Tl) detectors used in PET and their triggering and data acquisition electronics has been developed. This allows the authors to examine the limitations of the imaging system´s performance due to degradation in the detector performance from light pile-up and deadtime from triggering and event processing. Comparisons of simulation results to measurements from the HEAD PENN-PET scanner have been performed to validate the Monte Carlo model. The model was then used to predict improvements in the high count rate performance of the HEAD PENN-PET scanner using different signal integration times, light response functions, and detectors
  • Keywords
    Monte Carlo methods; biomedical equipment; gamma-ray detection; modelling; positron emission tomography; sodium compounds; solid scintillation detectors; thallium; Monte Carlo model validation; NaI(Tl)-based PET detectors; NaI:Tl; data acquisition electronics; deadtime; event processing; high count rate performance; light pile-up; light response functions; medical diagnostic imaging; medical instrumentation; nuclear medicine; signal integration time; triggering electronics; Data acquisition; Degradation; Detectors; Event detection; Head; Monte Carlo methods; Performance evaluation; Positron emission tomography; Predictive models; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium, 1997. IEEE
  • Conference_Location
    Albuquerque, NM
  • ISSN
    1082-3654
  • Print_ISBN
    0-7803-4258-5
  • Type

    conf

  • DOI
    10.1109/NSSMIC.1997.670525
  • Filename
    670525