• DocumentCode
    3536588
  • Title

    Statistical reconstruction for a high resolution Medipix CT

  • Author

    Luebke, J. ; Procz, S. ; Zwerger, A. ; Fiederle, M. ; Mix, M.

  • Author_Institution
    Nuklearmedizinische Klinik, Universitatsklinikum Freiburg, Freiburg, Germany
  • fYear
    2010
  • fDate
    Oct. 30 2010-Nov. 6 2010
  • Firstpage
    3896
  • Lastpage
    3900
  • Abstract
    Statistical reconstruction methods are especially suitable for use with low-count statistics. We propose a special, for-transmission modified, ordered subset expectation algorithm (mTR-OSEM). This algorithm was adapted for use in connection with an existing Medipix-CT. The combination of the Medipix with different semiconductor materials for the tomographic imaging and the Maximum - Likelihood - Expectation - Maximization - based reconstruction allows a reduction in the accelerated X-ray dose while maintaining good image quality. Basic information about the Medipix-CT, and its reconstruction requirements will be presented in addition to the first reconstruction results.
  • Keywords
    computerised tomography; dosimetry; expectation-maximisation algorithm; image reconstruction; image resolution; medical image processing; photon counting; accelerated X-ray dose; high-resolution Medipix CT; low-count statistics; maximum-likelihood-expectation method; ordered subset expectation algorithm; semiconductor materials; statistical reconstruction methods; tomographic imaging; transmission modified algorithm; Bones; Image quality; Image reconstruction; Pixel; Signal to noise ratio; Tomography; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record (NSS/MIC), 2010 IEEE
  • Conference_Location
    Knoxville, TN
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-9106-3
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2010.5874545
  • Filename
    5874545