• DocumentCode
    2560704
  • Title

    Beam hardening correction using an attenuation coefficient decomposition approach

  • Author

    Junjun Deng ; Shikui Yan

  • Author_Institution
    Siemens Med. Solutions, USA, Inc., Knoxville, TN, USA
  • fYear
    2012
  • fDate
    Oct. 27 2012-Nov. 3 2012
  • Firstpage
    3602
  • Lastpage
    3604
  • Abstract
    In X-ray CT system, the X-ray source generates x-rays with a broad range of spectrum. When the polychromatic photons travel through a subject, the lower energy photons are attenuated more effectively than the higher energy ones. This causes different attenuation coefficient (AC) of the material with respect to different X-ray photon energy. The reconstruction algorithms assuming invariant A C will introduce beam hardening artifacts in the reconstructed images. One effective method to address this is to model the X-ray attenuation process during the reconstruction. Generally an objective function is derived and an iterative method is used to minimize the objective function. This can be very time-consuming, and meanwhile it is relatively more difficult to compute such iterative algorithms in parallel. This work introduces an approach that uses an intermediate step to reduce the beam hardening artifacts. Due to the independence between the computation for each projection, it has the advantage of being able to compute in parallel.
  • Keywords
    computerised tomography; image reconstruction; medical image processing; X-ray CT system; X-ray photon energy; X-ray source generation; attenuation coefficient; attenuation coefficient decomposition approach; beam hardening artifact correction; image reconstruction algorithm; polychromatic photons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2012 IEEE
  • Conference_Location
    Anaheim, CA
  • ISSN
    1082-3654
  • Print_ISBN
    978-1-4673-2028-3
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2012.6551827
  • Filename
    6551827