Recent Patents on Medical Imaging

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.

Keywords: Accurate localization, constrained optimization, iterative image reconstruction, metal artifacts reduction, x-ray CT.

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.

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Article Details

VOLUME: 3
ISSUE: 2
Page: [111 - 117]
Pages: 7
DOI: 10.2174/2210684703666131211003524