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      Comparison of quantitative measurements of four manufacturer’s metal artifact reduction techniques for CT imaging with a self-made acrylic phantom

      research-article
      a , b , c , d , e , a , *
      ,
      Technology and Health Care
      IOS Press
      Computed tomography, metal artifact reduction, quantitative analysis

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          Abstract

          BACKGROUND:

          Metal artifact reduction (MAR) techniques can improve metal artifacts of computed tomography (CT) images.

          OBJECTIVE:

          This work focused on conducting a quantitative analysis to compare the effectiveness of four commercial MAR techniques on three types of metal implants (hip implant, spinal implant, and dental filling) with a self-made acrylic phantom.

          METHODS:

          A cylindrical phantom was made from acrylic with a groove in the middle, and then three types of metal implants were placed in the groove. The phantom was scanned by four CT scanners and four commercialized MAR techniques were used to analyze the images. The techniques used were single-energy metal artifact reduction (SEMAR, Canon), smart metal artifact reduction software (Smart-MAR, GE), iterative metal artifact reduction (IMAR, Siemens), and metal artifact reduction for orthopedic implants (OMAR, Philips). Quantitative analysis methods included objective and subjective analysis.

          RESULTS:

          The expected value of SEMAR, Smart-MAR, IMAR, and OMAR were 36.6, 37.8, 5.0, and 2.3, respectively. SEMAR and Smart-MAR achieved optimal results.

          CONCLUSION:

          This study successfully evaluated the effects of four commercial MAR techniques on three types of metal implants in a phantom. All MAR techniques effectively reduced metal artifacts, but the effect was not significant with dental fillings due to high-density material.

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          Most cited references25

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          An evaluation of three commercially available metal artifact reduction methods for CT imaging.

          Three commercial metal artifact reduction methods were evaluated for use in computed tomography (CT) imaging in the presence of clinically realistic metal implants: Philips O-MAR, GE's monochromatic gemstone spectral imaging (GSI) using dual-energy CT, and GSI monochromatic imaging with metal artifact reduction software applied (MARs). Each method was evaluated according to CT number accuracy, metal size accuracy, and streak artifact severity reduction by using several phantoms, including three anthropomorphic phantoms containing metal implants (hip prosthesis, dental fillings and spinal fixation rods). All three methods showed varying degrees of success for the hip prosthesis and spinal fixation rod cases, while none were particularly beneficial for dental artifacts. Limitations of the methods were also observed. MARs underestimated the size of metal implants and introduced new artifacts in imaging planes beyond the metal implant when applied to dental artifacts, and both the O-MAR and MARs algorithms induced artifacts for spinal fixation rods in a thoracic phantom. Our findings suggest that all three artifact mitigation methods may benefit patients with metal implants, though they should be used with caution in certain scenarios.
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            • Record: found
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            • Article: not found

            Metal streak artifacts in X-ray computed tomography: a simulation study

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              • Record: found
              • Abstract: not found
              • Article: not found

              Metal Artifact Reduction in CT: Where Are We After Four Decades?

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                Author and article information

                Journal
                Technol Health Care
                Technol Health Care
                THC
                Technology and Health Care
                IOS Press (Nieuwe Hemweg 6B, 1013 BG Amsterdam, The Netherlands )
                0928-7329
                1878-7401
                24 April 2020
                4 June 2020
                2020
                : 28
                : Suppl 1 , The 8th International Conference on Biomedical Engineering and Biotechnology
                : 273-287
                Affiliations
                [a ]Department of Medical Imaging and Radiological Sciences, Central Taiwan University of Science and Technology , Taichung, Taiwan
                [b ]Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
                [c ]Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan
                [d ]Department of Radiology, E-DA Cancer Hospital, Kaohsiung, Taiwan
                [e ]Department of Medical Imaging, Cheng Hsin General Hospital, Taipei, Taiwan
                Author notes
                [* ]Corresponding author: Cheng-Hsun Lin, Department of Medical Imaging and Radiological Sciences, Central Taiwan University of Science and Technology, No. 666, Buzih Road, Beitun District, Taichung, 40601, Taiwan. Tel.: +886 4 22391647#7100; Fax: +886 4 22396762; E-mail: jslin@ 123456ctust.edu.tw .
                Article
                THC209028
                10.3233/THC-209028
                7369061
                32364160
                9efc2df4-991d-489f-89a6-5f4c1ef98a57
                © 2020 – IOS Press and the authors. All rights reserved

                This article is published online with Open Access and distributed under the terms of the Creative Commons Attribution Non-Commercial License (CC BY-NC 4.0).

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                Research Article

                computed tomography,metal artifact reduction,quantitative analysis

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