• DocumentCode
    2217662
  • Title

    A general form for recursive algorithms in tomographic image reconstruction

  • Author

    Rahimi, Akbar ; Sadri, Saeid ; Nezhad, Abolghasem Zeidaabadi

  • Author_Institution
    Electr. & Comput. Eng. Dept., Isfahan Univ. of Technol., Isfahan
  • fYear
    2008
  • fDate
    30-31 May 2008
  • Firstpage
    54
  • Lastpage
    57
  • Abstract
    The purpose of this study is to introduce a general form for linear recursive image reconstruction using measurement and estimation matrixes. The convergence condition of presented algorithm is proved analytically and illustrated by simulation results. Previous presented recursive algorithms are fitted in our general form. Filtering in reconstructing duration is introduced new form to increase speed of the processing task. Finally forward projection and back projection as a spatial case are proposed and simulated.
  • Keywords
    convergence of numerical methods; filtering theory; image reconstruction; matrix algebra; medical image processing; phantoms; recursive estimation; recursive filters; tomography; convergence conditions; estimation matrixes; filtered back projection; head phantom; linear recursive image reconstruction; recursive algorithms; tomographic image reconstruction; tomography imaging; Algorithm design and analysis; Convergence; Delay estimation; Image reconstruction; Image sampling; Information technology; Iterative algorithms; Iterative methods; Recursive estimation; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications in Biomedicine, 2008. ITAB 2008. International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-2254-8
  • Electronic_ISBN
    978-1-4244-2255-5
  • Type

    conf

  • DOI
    10.1109/ITAB.2008.4570568
  • Filename
    4570568