• DocumentCode
    572879
  • Title

    Iterative reconstruction method for irregular object

  • Author

    Zou, Jing ; Gui, Jianbao ; Hu, Zhanli ; Zhang, Qiyang ; Xia, Dan

  • Author_Institution
    Paul Lauterbur Center for Biomed. Imaging Res., Shenzhen Inst. of Adv. Technol., Shenzhen, China
  • fYear
    2012
  • fDate
    24-26 Aug. 2012
  • Firstpage
    385
  • Lastpage
    388
  • Abstract
    Conventional CT reconstruction algorithm, filtered-backprojection (FBP), requires the projection data acquired within the angular range from 0 to 2pi. However, for an irregular object, the data acquired at some projection views may be not available due to the detector saturation. In this work, we proposed a method to optimize the current patterns for obtaining two sets of complementary attenuation data and to employ an iterative method based on equation and inequality to improve the reconstruction quality. The simulation results obtained from the projection data, which are generated by use of the GEANT toolkit, show that the uses of optimal current scanning method and the corresponding iterative reconstruction method can yield the accuracy images with lower noise level.
  • Keywords
    computerised tomography; image reconstruction; iterative methods; medical image processing; CT reconstruction algorithm; EANT toolkit; FBP; complementary attenuation data; computed tomography; detector saturation; equation; filtered-backprojection; inequality; irregular object; iterative reconstruction method; optimal current scanning method; projection data; Equations; Mercury (metals); Image reconstruction; detector saturation; iterative algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Processing (CSIP), 2012 International Conference on
  • Conference_Location
    Xi´an, Shaanxi
  • Print_ISBN
    978-1-4673-1410-7
  • Type

    conf

  • DOI
    10.1109/CSIP.2012.6308874
  • Filename
    6308874