• DocumentCode
    2621030
  • Title

    Algebraic reconstruction technique in image reconstruction with narrow fan-beam

  • Author

    Qu, Zhong ; Wen, Junhao ; Yang, Dan ; Wu, Yu

  • Author_Institution
    Coll. of Comput. Sci., Chongqing Univ., China
  • Volume
    2
  • fYear
    2005
  • fDate
    25-27 July 2005
  • Firstpage
    622
  • Abstract
    In order to improve the quality of reconstruction image, the authors propose a new algebraic reconstruction technique. The new method ameliorates the process of the old iterative method and adds a new iterative parameter: A, which can improve the quality of reconstruction image by changing the iterative process and adjusting convergence factor. The efficiency of algebraic reconstruction technique is evaluated in contrast to that of its traditional serial counterpart. Experiment results clearly demonstrate that algebraic reconstruction technique can efficiently improve quality of reconstruction images when processing the incomplete projection data or noisy projection data.
  • Keywords
    algebra; image reconstruction; iterative methods; algebraic reconstruction; convergence factor; image reconstruction; iterative method; iterative parameter; narrow fan-beam; Computed tomography; Computer science; Convergence; Detectors; Digital images; Image reconstruction; Iterative methods; Object detection; Pixel; Testing; algebraic reconstruction technique; fan-beam scan mode; image reconstruction; projection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9017-2
  • Type

    conf

  • DOI
    10.1109/GRC.2005.1547366
  • Filename
    1547366