Metal artifacts reduction in computed tomography: A phantom study to compare the effectiveness of metal artifact reduction algorithm, model-based iterative reconstruction, and virtual monochromatic imaging
The purpose of this study was to compare the effectiveness of a metal artifact reduction algorithm (MAR), model-based iterative reconstruction (MBIR), and virtual monochromatic imaging (VMI) for reducing metal artifacts in CT imaging.A phantom study was performed for quantitatively evaluating the da...
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| Veröffentlicht in: | Medicine (Baltimore) 2020-12, Vol.99 (50), p.e23692-e23692 |
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| creator | Ishikawa, Takuya Suzuki, Shigeru Harashima, Shingo Fukui, Rika Kaiume, Masafumi Katada, Yoshiaki |
| description | The purpose of this study was to compare the effectiveness of a metal artifact reduction algorithm (MAR), model-based iterative reconstruction (MBIR), and virtual monochromatic imaging (VMI) for reducing metal artifacts in CT imaging.A phantom study was performed for quantitatively evaluating the dark bands and fine streak artifacts generated by unilateral hip prostheses. Images were obtained by conventional scanning at 120 kilovolt peak, and reconstructed using filtered back projection, MAR, and MBIR. Furthermore, virtual monochromatic images (VMIs) at 70 kilo-electron volts (keV) and 140 keV with/without use of MAR were obtained by dual-energy CT. The extents and mean CT values of the dark bands and the differences in the standard deviations and location parameters of the fine streak artifacts evaluated by the Gumbel method in the images obtained by each of the methods were statistically compared by analyses of variance.Significant reduction of the extent of the dark bands was observed in the images reconstructed using MAR than in those not reconstructed using MAR (all, P |
| doi_str_mv | 10.1097/MD.0000000000023692 |
| format | Article |
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Images were obtained by conventional scanning at 120 kilovolt peak, and reconstructed using filtered back projection, MAR, and MBIR. Furthermore, virtual monochromatic images (VMIs) at 70 kilo-electron volts (keV) and 140 keV with/without use of MAR were obtained by dual-energy CT. The extents and mean CT values of the dark bands and the differences in the standard deviations and location parameters of the fine streak artifacts evaluated by the Gumbel method in the images obtained by each of the methods were statistically compared by analyses of variance.Significant reduction of the extent of the dark bands was observed in the images reconstructed using MAR than in those not reconstructed using MAR (all, P < .01). Images obtained by VMI at 70 keV and 140 keV with use of MAR showed significantly increased mean CT values of the dark bands as compared to those obtained by reconstructions without use of MAR (all, <.01). Significant reduction of the difference in the standard deviations used to evaluate fine streak artifacts was observed in each of the image sets obtained with VMI at 140 keV with/without MAR and conventional CT with MBIR as compared to the images obtained using other methods (all, P < .05), except between VMI at 140 keV without MAR and conventional CT with MAR. The location parameter to evaluate fine streak artifacts was significantly reduced in CT images obtained using MBIR and in images obtained by VMI at 140 keV with/without MAR as compared to those obtained using other reconstruction methods (all, P < .01).In our present study, MAR appeared to be the most effective reconstruction method for reducing dark bands in CT images, and MBIR and VMI at 140 keV appeared to the most effective for reducing streak artifacts.</description><identifier>ISSN: 0025-7974</identifier><identifier>EISSN: 1536-5964</identifier><identifier>DOI: 10.1097/MD.0000000000023692</identifier><identifier>PMID: 33327359</identifier><language>eng</language><publisher>United States: Lippincott Williams & Wilkins</publisher><subject>Humans ; Metals ; Phantoms, Imaging ; Prostheses and Implants ; Quality Improvement Study ; Radiographic Image Interpretation, Computer-Assisted - methods ; Tomography, X-Ray Computed - methods ; Tomography, X-Ray Computed - standards</subject><ispartof>Medicine (Baltimore), 2020-12, Vol.99 (50), p.e23692-e23692</ispartof><rights>Lippincott Williams & Wilkins</rights><rights>Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4500-f55cff35954ec5105ad4757bfb771c24048493ef82bf4ad8fd9de71de5628603</citedby><cites>FETCH-LOGICAL-c4500-f55cff35954ec5105ad4757bfb771c24048493ef82bf4ad8fd9de71de5628603</cites><orcidid>0000-0002-4198-9201</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738054/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738054/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33327359$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ishikawa, Takuya</creatorcontrib><creatorcontrib>Suzuki, Shigeru</creatorcontrib><creatorcontrib>Harashima, Shingo</creatorcontrib><creatorcontrib>Fukui, Rika</creatorcontrib><creatorcontrib>Kaiume, Masafumi</creatorcontrib><creatorcontrib>Katada, Yoshiaki</creatorcontrib><title>Metal artifacts reduction in computed tomography: A phantom study to compare the effectiveness of metal artifact reduction algorithm, model-based iterative reconstruction, and virtual monochromatic imaging</title><title>Medicine (Baltimore)</title><addtitle>Medicine (Baltimore)</addtitle><description>The purpose of this study was to compare the effectiveness of a metal artifact reduction algorithm (MAR), model-based iterative reconstruction (MBIR), and virtual monochromatic imaging (VMI) for reducing metal artifacts in CT imaging.A phantom study was performed for quantitatively evaluating the dark bands and fine streak artifacts generated by unilateral hip prostheses. Images were obtained by conventional scanning at 120 kilovolt peak, and reconstructed using filtered back projection, MAR, and MBIR. Furthermore, virtual monochromatic images (VMIs) at 70 kilo-electron volts (keV) and 140 keV with/without use of MAR were obtained by dual-energy CT. The extents and mean CT values of the dark bands and the differences in the standard deviations and location parameters of the fine streak artifacts evaluated by the Gumbel method in the images obtained by each of the methods were statistically compared by analyses of variance.Significant reduction of the extent of the dark bands was observed in the images reconstructed using MAR than in those not reconstructed using MAR (all, P < .01). Images obtained by VMI at 70 keV and 140 keV with use of MAR showed significantly increased mean CT values of the dark bands as compared to those obtained by reconstructions without use of MAR (all, <.01). Significant reduction of the difference in the standard deviations used to evaluate fine streak artifacts was observed in each of the image sets obtained with VMI at 140 keV with/without MAR and conventional CT with MBIR as compared to the images obtained using other methods (all, P < .05), except between VMI at 140 keV without MAR and conventional CT with MAR. The location parameter to evaluate fine streak artifacts was significantly reduced in CT images obtained using MBIR and in images obtained by VMI at 140 keV with/without MAR as compared to those obtained using other reconstruction methods (all, P < .01).In our present study, MAR appeared to be the most effective reconstruction method for reducing dark bands in CT images, and MBIR and VMI at 140 keV appeared to the most effective for reducing streak artifacts.</description><subject>Humans</subject><subject>Metals</subject><subject>Phantoms, Imaging</subject><subject>Prostheses and Implants</subject><subject>Quality Improvement Study</subject><subject>Radiographic Image Interpretation, Computer-Assisted - methods</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Tomography, X-Ray Computed - standards</subject><issn>0025-7974</issn><issn>1536-5964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkk1vEzEQhlcIREPhFyAhHzl0iz_jXQ5IVcuX1IhL75Zjj7OGXTvY3lT5kf1PuE0pLb5YmnnmfceeaZq3BJ8S3MsPq4tT_O9Qtuzps2ZBBFu2ol_y582iRkUre8mPmlc5_8SYMEn5y-aIMUYlE_2iuVlB0SPSqXinTckogZ1N8TEgH5CJ03YuYFGJU9wkvR32H9EZ2g461AjKZbb7mrvjdAJUBkDgHFSBHQTIGUWHpicOjwz0uInJl2E6QVO0MLZrnauXL5D0rUBFTQy5pAN_gnSwaOdTmaveFEM0Q4pTRQ3yk974sHndvHB6zPDm_j5urr58vjr_1l7--Pr9_OyyNVxg3DohjHP1_YKDEQQLbbkUcu3WUhJDOeYd7xm4jq4d17ZztrcgiQWxpN0Ss-Pm00F2O68nsAZCSXpU21TbSHsVtVdPM8EPahN3SkrWYcGrwPt7gRR_z5CLmnw2MI46QJyzolziru_rjCrKDqhJMecE7sGGYHW7B2p1of7fg1r17nGHDzV_B18BfgCu41j_O_8a52tIagA9luFOT8iethRTTCghuK3LwzH7A8i7xUk</recordid><startdate>20201211</startdate><enddate>20201211</enddate><creator>Ishikawa, Takuya</creator><creator>Suzuki, Shigeru</creator><creator>Harashima, Shingo</creator><creator>Fukui, Rika</creator><creator>Kaiume, Masafumi</creator><creator>Katada, Yoshiaki</creator><general>Lippincott Williams & Wilkins</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4198-9201</orcidid></search><sort><creationdate>20201211</creationdate><title>Metal artifacts reduction in computed tomography: A phantom study to compare the effectiveness of metal artifact reduction algorithm, model-based iterative reconstruction, and virtual monochromatic imaging</title><author>Ishikawa, Takuya ; Suzuki, Shigeru ; Harashima, Shingo ; Fukui, Rika ; Kaiume, Masafumi ; Katada, Yoshiaki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4500-f55cff35954ec5105ad4757bfb771c24048493ef82bf4ad8fd9de71de5628603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Humans</topic><topic>Metals</topic><topic>Phantoms, Imaging</topic><topic>Prostheses and Implants</topic><topic>Quality Improvement Study</topic><topic>Radiographic Image Interpretation, Computer-Assisted - methods</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Tomography, X-Ray Computed - standards</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ishikawa, Takuya</creatorcontrib><creatorcontrib>Suzuki, Shigeru</creatorcontrib><creatorcontrib>Harashima, Shingo</creatorcontrib><creatorcontrib>Fukui, Rika</creatorcontrib><creatorcontrib>Kaiume, Masafumi</creatorcontrib><creatorcontrib>Katada, Yoshiaki</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Medicine (Baltimore)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ishikawa, Takuya</au><au>Suzuki, Shigeru</au><au>Harashima, Shingo</au><au>Fukui, Rika</au><au>Kaiume, Masafumi</au><au>Katada, Yoshiaki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metal artifacts reduction in computed tomography: A phantom study to compare the effectiveness of metal artifact reduction algorithm, model-based iterative reconstruction, and virtual monochromatic imaging</atitle><jtitle>Medicine (Baltimore)</jtitle><addtitle>Medicine (Baltimore)</addtitle><date>2020-12-11</date><risdate>2020</risdate><volume>99</volume><issue>50</issue><spage>e23692</spage><epage>e23692</epage><pages>e23692-e23692</pages><issn>0025-7974</issn><eissn>1536-5964</eissn><abstract>The purpose of this study was to compare the effectiveness of a metal artifact reduction algorithm (MAR), model-based iterative reconstruction (MBIR), and virtual monochromatic imaging (VMI) for reducing metal artifacts in CT imaging.A phantom study was performed for quantitatively evaluating the dark bands and fine streak artifacts generated by unilateral hip prostheses. Images were obtained by conventional scanning at 120 kilovolt peak, and reconstructed using filtered back projection, MAR, and MBIR. Furthermore, virtual monochromatic images (VMIs) at 70 kilo-electron volts (keV) and 140 keV with/without use of MAR were obtained by dual-energy CT. The extents and mean CT values of the dark bands and the differences in the standard deviations and location parameters of the fine streak artifacts evaluated by the Gumbel method in the images obtained by each of the methods were statistically compared by analyses of variance.Significant reduction of the extent of the dark bands was observed in the images reconstructed using MAR than in those not reconstructed using MAR (all, P < .01). Images obtained by VMI at 70 keV and 140 keV with use of MAR showed significantly increased mean CT values of the dark bands as compared to those obtained by reconstructions without use of MAR (all, <.01). Significant reduction of the difference in the standard deviations used to evaluate fine streak artifacts was observed in each of the image sets obtained with VMI at 140 keV with/without MAR and conventional CT with MBIR as compared to the images obtained using other methods (all, P < .05), except between VMI at 140 keV without MAR and conventional CT with MAR. The location parameter to evaluate fine streak artifacts was significantly reduced in CT images obtained using MBIR and in images obtained by VMI at 140 keV with/without MAR as compared to those obtained using other reconstruction methods (all, P < .01).In our present study, MAR appeared to be the most effective reconstruction method for reducing dark bands in CT images, and MBIR and VMI at 140 keV appeared to the most effective for reducing streak artifacts.</abstract><cop>United States</cop><pub>Lippincott Williams & Wilkins</pub><pmid>33327359</pmid><doi>10.1097/MD.0000000000023692</doi><orcidid>https://orcid.org/0000-0002-4198-9201</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Wolters Kluwer Open Health; IngentaConnect Free/Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection |
| subjects | Humans Metals Phantoms, Imaging Prostheses and Implants Quality Improvement Study Radiographic Image Interpretation, Computer-Assisted - methods Tomography, X-Ray Computed - methods Tomography, X-Ray Computed - standards |
| title | Metal artifacts reduction in computed tomography: A phantom study to compare the effectiveness of metal artifact reduction algorithm, model-based iterative reconstruction, and virtual monochromatic imaging |
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