• DocumentCode
    1621481
  • Title

    Evaluation of the ICS and DEW scatter correction methods for low statistical content scans in 3D PET

  • Author

    Sossi, V. ; Oakes, TR ; Ruth, TJ

  • Author_Institution
    TRIUMF, Vancouver, BC, Canada
  • Volume
    3
  • fYear
    1996
  • Firstpage
    1537
  • Abstract
    The performance of the Integral Convolution and the Dual Energy Window scatter correction methods in 3D PET has been evaluated over a wide range of statistical content of acquired data (1 M to 400 M events). The order in which scatter correction and detector normalization should be applied has also been investigated. Phantom and human neuroreceptor studies were used with the following figures of merit: axial and radial uniformity, sinogram and image noise, contrast accuracy and contrast accuracy uniformity. Both scatter correction methods perform reliably in the range of number of events examined. Normalization applied after scatter correction yields better radial uniformity and fewer image artefacts
  • Keywords
    convolution; error correction; error statistics; gamma-ray detection; gamma-ray scattering; image reconstruction; image sequences; medical image processing; positron emission tomography; 3D PET; DEW scatter correction methods; Dual Energy Window scatter correction methods; ICS; Integral Convolution; axial uniformity; contrast accuracy; contrast accuracy uniformity; detector normalization; figures of merit; human neuroreceptor studies; image artefacts; image noise; low statistical content scans; normalization; phantom studies; radial uniformity; sinogram noise; statistical content; Convolution; Detectors; Event detection; Humans; Imaging phantoms; Kernel; Noise figure; Positron emission tomography; Scattering; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium, 1996. Conference Record., 1996 IEEE
  • Conference_Location
    Anaheim, CA
  • ISSN
    1082-3654
  • Print_ISBN
    0-7803-3534-1
  • Type

    conf

  • DOI
    10.1109/NSSMIC.1996.587918
  • Filename
    587918