• DocumentCode
    1519048
  • Title

    Correction for the random coincidences in dual-head gamma camera imaging

  • Author

    Brasse, D. ; Comtat, C. ; Trébossen, R. ; Tararine, M. ; Nguyen, Q.T. ; Bendriem, B.

  • Author_Institution
    Dept. of Radiol., Pittsburgh Univ., PA, USA
  • Volume
    48
  • Issue
    3
  • fYear
    2001
  • fDate
    6/1/2001 12:00:00 AM
  • Firstpage
    864
  • Lastpage
    871
  • Abstract
    Planar large field-of-view gamma camera detectors in coincidence imaging are characterized by a high singles count rate, leading to a high acquired random coincidence rate. The authors propose and compare two methods to correct the random coincidences that account for the variation of the random count rate during the detector rotation. One method consists of using a uniform distribution for the random coincidences (UD) and the other is based on the single photon distribution (SPD) on each detector. Unlike the UD method, the SPD method accounts for the variation of the spatial distribution of the random coincidences. The UD method leads to an underestimation of the random coincidences inside the object and an overestimation outside the object. The distribution of the random coincidences is better estimated with the SPD method, which allows one to recover contrast values closer to those expected without randoms background
  • Keywords
    cameras; gamma-ray detection; medical image processing; positron emission tomography; PET; coincidence imaging; dual-head gamma camera imaging; medical diagnostic imaging; nuclear medicine; random coincidences; random coincidences correction; single photon distribution; spatial distribution variation; Biomedical imaging; Cameras; Delay estimation; Event detection; Fitting; Gamma ray detection; Gamma ray detectors; Optical imaging; Positron emission tomography; Radiology;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/23.940177
  • Filename
    940177