Iterative Image Reconstruction Algorithms for CT Metal Artifact Reduction: A Review

ISSN: 1877-6132 (Online)
ISSN: 2210-6847 (Print)


Volume 4, 2 Issues, 2014


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Editor-in-Chief:
Charles Bellows
Chief Division of General Surgery
University of New Mexico
New Mexico
USA
Email: cbellows@salud.unm.edu

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Iterative Image Reconstruction Algorithms for CT Metal Artifact Reduction: A Review

Author(s): Jing Wang

Affiliation: Department of Radiation Oncology, The University Texas Southwestern Medical Center, Dallas, TX 75235-8808, USA.

Abstract

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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Article Details

Volume: 3
Issue Number: 2
First Page: 111
Last Page: 117
Page Count: 7
DOI: 10.2174/2210684703666131211003524
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