Iterative Image Reconstruction Algorithms for CT Metal Artifact Reduction: A Review
Affiliation: Department of Radiation Oncology, The University Texas Southwestern Medical Center, Dallas, TX 75235-8808, USA.
The presence of metals in patients causes streaking artifacts in x-ray CT and has been recognized as a problem
that limits various applications of CT imaging. In this article, we will summarize recent developments and patents in
software-based approaches for metal artifacts reduction in CT. In particular, we will focus on the iterative image
reconstruction algorithms for metal artifacts reduction as well as for accurate determination of the shape and the location
of metal objects.
Keywords: Accurate localization, constrained optimization, iterative image reconstruction, metal artifacts reduction, x-ray CT.
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