Metal artifact reduction algorithm
Last revised by Andrew Murphy on 23 Mar 2023
Citation, DOI, disclosures and article data
Citation:
Knipe H, Murphy A, Metal artifact reduction algorithm. Reference article, Radiopaedia.org (Accessed on 18 Apr 2024) https://doi.org/10.53347/rID-67664
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67664
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Disclosures:
At the time the article was created Henry Knipe had no recorded disclosures.
View Henry Knipe's current disclosures
Last revised:
23 Mar 2023,
Andrew Murphy ◉
Disclosures:
At the time the article was last revised Andrew Murphy had no financial relationships to ineligible companies to disclose.
View Andrew Murphy's current disclosures
Revisions:
3 times, by
2 contributors -
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Synonyms:
- Metal artifact reduction (MAR) algorithm
- MAR algorithm
Metal artifact reduction (MAR) algorithms are used to improve CT image quality in patients with metalware, however, can be affected by novel artifacts 1-3. There are a number of commercially-available algorithms (in 2019) 1,3:
- iterative MAR (iMAR) - Siemens
- MAR for orthopedic implants (O-MAR) - Philips
- single-energy MAR (SEMAR) - Toshiba/Canon
- SmartMAR - GE
Practical points
- images obtained with and without MAR should be reviewed together with multiplanar reformats to avoid misinterpreting newly created artifacts 3
References
- 1. Bolstad K, Flatabø S, Aadnevik D, Dalehaug I, Vetti N. Metal artifact reduction in CT, a phantom study: subjective and objective evaluation of four commercial metal artifact reduction algorithms when used on three different orthopedic metal implants. (2018) Acta radiologica (Stockholm, Sweden : 1987). 59 (9): 1110-1118. doi:10.1177/0284185117751278 - Pubmed
- 2. Wellenberg RHH, Hakvoort ET, Slump CH, Boomsma MF, Maas M, Streekstra GJ. Metal artifact reduction techniques in musculoskeletal CT-imaging. (2018) European journal of radiology. 107: 60-69. doi:10.1016/j.ejrad.2018.08.010 - Pubmed
- 3. Masaki Katsura, Jiro Sato, Masaaki Akahane, Akira Kunimatsu, Osamu Abe. Current and Novel Techniques for Metal Artifact Reduction at CT Practical Guide for Radiologists. (2018) RadioGraphics. 38 (2): 450-461. doi:10.1148/rg.2018170102 - Pubmed
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