• DocumentCode
    3342638
  • Title

    Fast GATE fan beam SPECT projector

  • Author

    De Beenhouwer, Jan ; Pieters, Bart ; Van de Walle, Rik

  • Author_Institution
    Vision Lab., Antwerp Univ., Antwerp, Belgium
  • fYear
    2011
  • fDate
    23-29 Oct. 2011
  • Firstpage
    4188
  • Lastpage
    4191
  • Abstract
    Fan beam collimation offers a higher sensitivity than parallel beam collimation at the cost of a reduced field of view. The spatially varying collimator-detector response has so far been studied analytically and with Monte Carlo simulations in order to improve reconstruction quality. Similarly to parallel beam collimation, it may be possible to improve the reconstruction quality further by using accurate Monte Carlo-based scatter estimates. In this work, we have developed a fast hybrid CPU-GPU accelerated Monte Carlo projector for fan beam collimation that can be used for this purpose. A pre-simulated collimator-detector response was combined with a parallelized GEANT4 implementation and GPU accelerated convolution-based forced detection. Our method was validated with a GATE model of the Prism 3000XP equiped with low energy high resolution fan beam collimators. Projections of an image quality phantom showed an excellent agreement with GATE. Almost noiseless projections can be obtained in under 30 seconds.
  • Keywords
    Monte Carlo methods; collimators; graphics processing units; image resolution; medical image processing; phantoms; single photon emission computed tomography; CPU-GPU accelerated Monte Carlo projector; GATE fan beam; GEANT4; Monte Carlo simulation; Monte Carlo-based scatter estimate; Prism 3000XP; SPECT projector; fan beam collimation; image quality; parallel beam collimation; phantom; presimulated collimator-detector; spatially varying collimator-detector; Graphics processing unit; Logic gates; Physics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE
  • Conference_Location
    Valencia
  • ISSN
    1082-3654
  • Print_ISBN
    978-1-4673-0118-3
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2011.6153802
  • Filename
    6153802