• DocumentCode
    1828857
  • Title

    Data correction and normalization for a new PET scanner having coarse septa

  • Author

    Ote, K. ; Takahashi, M. ; Kosugi, T. ; Yamada, R. ; Watanabe, M. ; Yamashita, T. ; Hasegawa, T. ; Tanaka, E.

  • Author_Institution
    Hamamatsu Photonics KK, Hirakuchi, Japan
  • Volume
    4
  • fYear
    2003
  • fDate
    19-25 Oct. 2003
  • Firstpage
    2420
  • Abstract
    A new PET scanner having coarse septa provides high sensitivity with suppressing single and scattered events. Data correction and normalization methods for the PET scanner have been developed, which include a new scatter correction method utilizing measured scatter event data, component-based normalization for the detector sensitivity and segmentation attenuation correction using X-ray CT scanner data. Some coincidence lines among the detectors are intercepted by the coarse septa. The data intercepted by the septa, shady data, mostly consist of scatter events, while those not intercepted by the septa, sunny data, include both true and scatter events. Thus the scatter components can be corrected by the subtraction of the shady data from the sunny data. Preliminary studies of new scatter correction were performed with phantoms.
  • Keywords
    image scanners; image segmentation; medical computing; phantoms; positron emission tomography; PET scanner; X-ray CT scanner data; coarse septa; coincidence lines; component-based normalization; data correction; detector sensitivity; phantoms; scatter components; scatter correction method; scatter event data; segmentation attenuation correction; shady data; sunny data; Attenuation measurement; Background noise; Data acquisition; Detectors; Electromagnetic scattering; Event detection; Particle scattering; Positron emission tomography; Whole-body PET; X-ray scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2003 IEEE
  • ISSN
    1082-3654
  • Print_ISBN
    0-7803-8257-9
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2003.1352383
  • Filename
    1352383