• DocumentCode
    2248687
  • Title

    Research of the image reconstruction from incomplete projection data based on the homotopy mapping

  • Author

    Fei, Li ; Jin-Xiao, Pan

  • Author_Institution
    Dept. of Math., North Univ. of China, Taiyuan, China
  • Volume
    3
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    391
  • Lastpage
    394
  • Abstract
    Multi-objective optimization reconstruction algorithm is one of the main methods to solve the limited angle image reconstruction. However we have great difficulty in selecting the right parameter reasonably because there is not only one objective function. So we give a new method to choose the parameter which was called homotopy parameter based on the theory of homotopy in this paper. Finally, the simulations were carried out to verify the proposed strategy, and the simulation results show that this algorithm is superior to the conventional multi-objective optimization methods in many aspects, such as less reconstruction errors, higher smoothness and gray value resolution.
  • Keywords
    image reconstruction; optimisation; gray value resolution; higher smoothness; homotopy mapping; image reconstruction research; incomplete projection data; less reconstruction errors; multiobjective optimization reconstruction algorithm; Asia; Blindness; Computed tomography; Image reconstruction; Mathematics; Optimization methods; Pixel; Robotics and automation; Testing; X-ray imaging; homotopy parameter; limited angle image reconstruction; multi-objective optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
  • Conference_Location
    Wuhan
  • ISSN
    1948-3414
  • Print_ISBN
    978-1-4244-5192-0
  • Electronic_ISBN
    1948-3414
  • Type

    conf

  • DOI
    10.1109/CAR.2010.5456717
  • Filename
    5456717