• DocumentCode
    687140
  • Title

    Comparison of digital and analog silicon photomultiplier for positron emission tomography application

  • Author

    Chen Xu ; Garutti, Erika ; Mandai, Shingo ; Charbon, E.

  • Author_Institution
    DESY, Hamburg, Germany
  • fYear
    2013
  • fDate
    Oct. 27 2013-Nov. 2 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In recent years, silicon photomultipliers (SiPMs) became popular candidates for applications in positron emission tomography (PET) scanners or PET based multi-modality detectors. In this paper, we perform a comparative study of digital and analog SiPM in gamma spectroscopy with a lutetium-yttrium oxyorthosilicate (LYSO) scintillator. The energy spectrum in terms of photo-electron numbers (fired pixels) is obtained directly from the digital SiPM. The energy spectrum obtained with analog SiPM is converted to number of fired pixels using single photoelectron spectrum measurement. Non-linear behavior of both detectors is studied. Energy response for 511 keV gamma ray under non-linear conditions for both detectors are corrected using a Monte-Carlo simulation tool.
  • Keywords
    Monte Carlo methods; biomedical equipment; digital-analogue conversion; elemental semiconductors; gamma-ray spectra; photoelectron spectra; photomultipliers; positron emission tomography; silicon; Monte Carlo simulation tool; PET based multimodality detectors; PET scanners; Si; analog silicon photomultiplier; digital silicon photomultiplier; energy spectrum; fired pixels; gamma spectroscopy; lutetium-yttrium oxyorthosilicate scintillator; nonlinear conditions; photoelectron numbers; photoelectron spectrum measurement; positron emission tomography application; CMOS integrated circuits; Crystals; Pancreas; Positron emission tomography; Q measurement; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4799-0533-1
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2013.6829585
  • Filename
    6829585