• DocumentCode
    2845661
  • Title

    Impact of instrumentation parameters on the performance of neural network based positioning algorithms for monolithic scintillator blocks

  • Author

    Bruyndonckx, Peter ; Zhi, Li ; Lemaitre, Cedric ; Perez, Jose M. ; Rato, Pedro ; Schaart, Dennis ; Maas, M. ; Van Der Laan, D.J. ; Tavernier, Stefaan ; Yonggang, Wang

  • Author_Institution
    Vrije Univ. Brussel, Brussels
  • Volume
    6
  • fYear
    2007
  • fDate
    Oct. 26 2007-Nov. 3 2007
  • Firstpage
    4266
  • Lastpage
    4270
  • Abstract
    The information embedded in the light distribution generated in monolithic scintillator blocks allows the incidence position of an impinging 511 keV gamma to be estimated with an average resolution of 1.8 mm FWHM. To study which instrumentation parameters limit the performance, a validated Monte Carlo simulation was used. It was concluded that the preamplifier noise of 600 electrons rms was the most limiting factor since all other parameters in the set-up such as a photon beam width of 1 mm FWHM, beam step size of 250 mum and an ADC resolution of 12 bits are already at an optimal level. The indiscernible presence of events that undergo multiple interactions in the scintillator block also adds 0.2 mm to the achievable FWHM resolution.
  • Keywords
    Monte Carlo methods; analogue-digital conversion; biomedical electronics; field programmable gate arrays; medical computing; neural nets; positron emission tomography; solid scintillation detectors; ADC resolution; FPGA implementation; FWHM resolution; Monte Carlo simulation; PET detectors; electron volt energy 511 keV; instrumentation parameters; light distribution; monolithic scintillator blocks; neural network based positioning algorithms; preamplifier equivalence noise charge; size 1 mm; size 250 mum; Data acquisition; Detectors; Instruments; Neural networks; Noise level; Nuclear and plasma sciences; Optical noise; Optical scattering; Photonic crystals; Preamplifiers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2007. NSS '07. IEEE
  • Conference_Location
    Honolulu, HI
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-0922-8
  • Electronic_ISBN
    1095-7863
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2007.4437059
  • Filename
    4437059