• DocumentCode
    847966
  • Title

    Image restoration in computed tomography: restoration of experimental CT images

  • Author

    Rathee, Satyapal ; Koles, Zoly J. ; Overton, Thomas R.

  • Author_Institution
    Dept. of Appl. Sci. in Med., Alberta Univ., Edmonton, Alta., Canada
  • Volume
    11
  • Issue
    4
  • fYear
    1992
  • fDate
    12/1/1992 12:00:00 AM
  • Firstpage
    546
  • Lastpage
    553
  • Abstract
    It is pointed out that to restore experimental computed tomography (CT) images which have been blurred by a spatially variant point spread function (PSF), a quadrant symmetry method which simultaneously optimizes storage requirements for the estimated PSFs and computational speed is used. The quadrant symmetry approach required less than 0.579 Megawords of storage for 9×9 pixel spatially variant PSFs in a 256×256 pixel image, allowing image restoration in Cartesian coordinates. A locally adaptive restoration method formulated using a noise prewhitening filter derived from the measured noise power spectrum, the conjugate gradient method was used to obtain a numerical solution. Restored images for a resolution phantom and for a cadaver femur are presented
  • Keywords
    computerised tomography; medical diagnostic computing; medical image processing; Cartesian coordinates; blurred images restoration; cadaver femur; computational speed; conjugate gradient method; experimental CT images restoration; locally adaptive restoration method; noise power spectrum; noise prewhitening filter; numerical solution; quadrant symmetry approach; resolution phantom; spatially variant point spread function; storage requirements optimization; Adaptive filters; Computed tomography; Gradient methods; Image restoration; Image storage; Noise measurement; Optimization methods; Pixel; Power measurement; Spatial resolution;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.192690
  • Filename
    192690