Deblurring subject to nonnegativity constraints when known functions are present with application to object-constrained computerized tomography

Donald L. Snyder, Joseph A. O'Sullivan, Bruce R. Whiting, Ryan J. Murphy, Jasenka Benac, J. Adam Cataldo, David G. Politte, Jeffrey F. Williamson

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

The reconstruction of tomographic images is often treated as a linear deblurring problem. When a high-density, man-made metal object is present somewhere in the image field, it is a deblurring problem in which the unknown function has a component that is known except for some location and orientation parameters. We first address general linear deblurring problems in which a known function having unknown parameters is present. We then show how the resulting iterative solution can be applied to tomographic imaging in the presence of man-made foreign objects, and we apply the result, in particular, to X-ray computed tomography imaging used in support of brachytherapy treatment of advanced cervical cancer.

Original languageEnglish
Pages (from-to)1009-1017
Number of pages9
JournalIEEE Transactions on Medical Imaging
Volume20
Issue number10
DOIs
StatePublished - Oct 2001

Keywords

  • Brachytherapy
  • Cervical cancer
  • Computerized tomography
  • Metal artifacts
  • Tomography

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