• DocumentCode
    1009788
  • Title

    Two new strategies to increase the signal to noise ratio in positron volume imaging

  • Author

    Thompson, C.J. ; Picard, Y.

  • Author_Institution
    Montreal Neurol. Inst., McGill Univ., Montreal, Que., Canada
  • Volume
    40
  • Issue
    4
  • fYear
    1993
  • fDate
    8/1/1993 12:00:00 AM
  • Firstpage
    956
  • Lastpage
    961
  • Abstract
    Two new hardware techniques which improve the scatter fraction of positron volume imaging (PVI) systems are presented. The first uses the fact that Compton scattered rays scattered through a large angle have a lower energy. The range of angles through which rays can be scattered and still be in the scanner field of view (FOV) depends on the radius of the line of response. By using a low-energy threshold which is proportional to the line of response´s (LOR´s) radius, the scatter fraction at the edges of the image is substantially reduced. The second technique is based on the observation that in NaI crystals many of the 511-keV rays are backscattered, and the scattered photon then escapes undetected. The use of a notched energy acceptance window, which includes the photo-peak and the backscatter peak, but discards the scattered events in between, is proposed
  • Keywords
    Compton effect; backscatter; medical diagnostic computing; radioisotope scanning and imaging; 511 keV; Compton scattered rays; NaI crystals; backscatter peak; hardware techniques; large angle; low-energy threshold; notched energy acceptance window; photo-peak; positron volume imaging; scanner field of view; scatter fraction; signal to noise ratio; Electromagnetic scattering; Energy resolution; Event detection; Hardware; Light scattering; Particle scattering; Photonic crystals; Positron emission tomography; Signal to noise ratio; Solid scintillation detectors;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/23.256692
  • Filename
    256692