• DocumentCode
    2558017
  • Title

    PET random reduction with a FOV-dependent coincidence window and tangential TOF-mask

  • Author

    Wenli Wang ; Xiaofeng Niu ; Hongwei Ye ; Gagnon, Denis

  • Author_Institution
    Toshiba Med. Res. Inst. USA, Inc., Vernon Hills, IL, USA
  • fYear
    2012
  • fDate
    Oct. 27 2012-Nov. 3 2012
  • Firstpage
    3005
  • Lastpage
    3008
  • Abstract
    Time-of-flight (TOF) positron emission tomography (PET) has achieved a 500-600 ps coincidence timing resolution for clinical whole-body scanners. TOF PET has been used to narrow the coincidence window to 4-6 ns for whole-body imaging and thus reduced random coincidence rate and improved the noise-equivalent-count (NEC) rate. In this paper, we revisit the random reduction by deriving an explicit coincidence window equation, and propose a tangential TOF-mask to tailor the coincidence window to conform to the FOV without any patient morphological information. Experimental line source data at the edge of various FOVs are used to validate the coincidence window equation and TOF-mask. A new signal-to-noise ratio (SNR) formula via NEC is given with this TOF mask. Multiple FOVs of NEMA NU-2 experimental count-rate data are used to demonstrate the relative gain in NEC with this TOF mask.
  • Keywords
    coincidence techniques; positron emission tomography; FOV-dependent coincidence window; NEMA NU-2 experimental count-rate data; PET random reduction; clinical whole-body scanners; coincidence window equation; experimental line source data; noise-equivalent-count rate; patient morphological information; reduced random coincidence rate; signal-to-noise ratio formula; tangential TOF-mask; time-of-flight positron emission tomography; whole-body imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2012 IEEE
  • Conference_Location
    Anaheim, CA
  • ISSN
    1082-3654
  • Print_ISBN
    978-1-4673-2028-3
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2012.6551686
  • Filename
    6551686