• DocumentCode
    329456
  • Title

    Edge-preserving tomographic reconstruction with nonlocal regularization

  • Author

    Yu, Daniel F. ; Fessler, Jeffrey A.

  • Author_Institution
    Michigan Univ., Ann Arbor, MI, USA
  • Volume
    1
  • fYear
    1998
  • fDate
    4-7 Oct 1998
  • Firstpage
    29
  • Abstract
    We propose a new objective function for the image reconstruction problem, where the image is comprised of piecewise smooth regions separated by sharp boundaries. We use alternating minimization to minimize our objective function. We use the level set technique to minimize with regard to the boundary. The advantage of this new approach is shown through the bias/variance analysis of a hot spot
  • Keywords
    image reconstruction; image segmentation; least squares approximations; minimisation; positron emission tomography; PET; alternating minimization; bias/variance analysis; edge-preserving tomographic reconstruction; hot spot; image segmentation; level set technique; nonlocal regularization; objective function; penalized least squares image reconstruction; piecewise smooth regions; sharp boundaries; Equations; Image analysis; Image reconstruction; Image restoration; Image segmentation; Level set; Modeling; Smoothing methods; Statistical analysis; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-8186-8821-1
  • Type

    conf

  • DOI
    10.1109/ICIP.1998.723402
  • Filename
    723402
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=329456