• DocumentCode
    871429
  • Title

    Algebraic reconstruction in CT from limited views

  • Author

    Andersen, Anders H.

  • Author_Institution
    Dept. of Electr. Eng., Kentucky Univ., Lexington, KY, USA
  • Volume
    8
  • Issue
    1
  • fYear
    1989
  • fDate
    3/1/1989 12:00:00 AM
  • Firstpage
    50
  • Lastpage
    55
  • Abstract
    The author presents an algebraic reconstruction technique (ART) as a viable alternative in computerized tomography (CT) from limited views. Recently, algorithms of iterative reconstruction-reprojection (IRR) based on the method of convolution-backprojection have been proposed for application in limited-view CT. Reprojection was used in an iterative fashion alternating with backprojection as a means of estimating projection values within the sector of missing views. In algebraic methods of reconstruction for CT, only those projections corresponding to known data are required. Reprojection along missing views would merely serve to introduce redundant equations. Computer simulation studies are presented which demonstrate significantly improved reconstructed images achieved by an ART algorithm as compared to IRR methods
  • Keywords
    computerised tomography; algebraic reconstruction technique; computerized tomography; convolution-backprojection; iterative reconstruction-reprojection; limited views; medical diagnostic imaging; Application software; Attenuation; Computed tomography; Convergence; Equations; Image reconstruction; Iterative algorithms; Iterative methods; Reconstruction algorithms; Subspace constraints;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.20361
  • Filename
    20361