• DocumentCode
    686789
  • Title

    A mathematical proof of a noise weighted FBP reconstruction algorithm

  • Author

    Zeng, Gengsheng L. ; Ya Li ; Zamyatin, Alexander

  • Author_Institution
    Dept. of Electr. Eng., Weber State Univ., Ogden, UT, USA
  • fYear
    2013
  • fDate
    Oct. 27 2013-Nov. 2 2013
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    This paper shows that the FBP algorithm is able to provide a solution to a weighted least-squares problem. Therefore, the projection noise model can be included in the FBP reconstruction. Bayesian information can also be incorporated in the FBP reconstruction.
  • Keywords
    Bayes methods; least squares approximations; signal reconstruction; Bayesian information; filtered backprojection; noise weighted FBP reconstruction algorithm; projection noise model; weighted least squares problem; Bayes methods; Convolution; Image reconstruction; Kernel; Linear programming; Noise; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4799-0533-1
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2013.6829219
  • Filename
    6829219
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=686789