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Comparison of the Quality of Various Polychromatic and Monochromatic Dual-Energy CT Images with or without a Metal Artifact Reduction Algorithm to Evaluate Total Knee Arthroplasty
OBJECTIVE: To compare the quality of various polychromatic and monochromatic images with or without using an iterative metal artifact reduction algorithm (iMAR) obtained from a dual-energy computed tomography (CT) to evaluate total knee arthroplasty. MATERIALS AND METHODS: We included 58 patients (2...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Korean Society of Radiology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316773/ https://www.ncbi.nlm.nih.gov/pubmed/34132074 http://dx.doi.org/10.3348/kjr.2020.0548 |
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author | Choo, Hye Jung Lee, Sun Joo Kim, Dong Wook Lee, Yoo Jin Baek, Jin Wook Han, Ji-yeon Heo, Young Jin |
author_facet | Choo, Hye Jung Lee, Sun Joo Kim, Dong Wook Lee, Yoo Jin Baek, Jin Wook Han, Ji-yeon Heo, Young Jin |
author_sort | Choo, Hye Jung |
collection | PubMed |
description | OBJECTIVE: To compare the quality of various polychromatic and monochromatic images with or without using an iterative metal artifact reduction algorithm (iMAR) obtained from a dual-energy computed tomography (CT) to evaluate total knee arthroplasty. MATERIALS AND METHODS: We included 58 patients (28 male and 30 female; mean age [range], 71.4 [61–83] years) who underwent 74 knee examinations after total knee arthroplasty using dual-energy CT. CT image sets consisted of polychromatic image sets that linearly blended 80 kVp and tin-filtered 140 kVp using weighting factors of 0.4, 0, and −0.3, and monochromatic images at 130, 150, 170, and 190 keV. These image sets were obtained with and without applying iMAR, creating a total of 14 image sets. Two readers qualitatively ranked the image quality (1 [lowest quality] through 14 [highest quality]). Volumes of high- and low-density artifacts and contrast-to-noise ratios (CNRs) between the bone and fat tissue were quantitatively measured in a subset of 25 knees unaffected by metal artifacts. RESULTS: iMAR-applied, polychromatic images using weighting factors of −0.3 and 0.0 (P(−0.3i) and P(0.0i), respectively) showed the highest image-quality rank scores (median of 14 for both by one reader and 13 and 14, respectively, by the other reader; p < 0.001). All iMAR-applied image series showed higher rank scores than the iMAR-unapplied ones. The smallest volumes of low-density artifacts were found in P(−0.3i), P(0.0i), and iMAR-applied monochromatic images at 130 keV. The smallest volumes of high-density artifacts were noted in P(−0.3i). The CNRs were best in polychromatic images using a weighting factor of 0.4 with or without iMAR application, followed by polychromatic images using a weighting factor of 0.0 with or without iMAR application. CONCLUSION: Polychromatic images combined with iMAR application, P(−0.3i) and P(0.0i), provided better image qualities and substantial metal artifact reduction compared with other image sets. |
format | Online Article Text |
id | pubmed-8316773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Korean Society of Radiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-83167732021-08-03 Comparison of the Quality of Various Polychromatic and Monochromatic Dual-Energy CT Images with or without a Metal Artifact Reduction Algorithm to Evaluate Total Knee Arthroplasty Choo, Hye Jung Lee, Sun Joo Kim, Dong Wook Lee, Yoo Jin Baek, Jin Wook Han, Ji-yeon Heo, Young Jin Korean J Radiol Musculoskeletal Imaging OBJECTIVE: To compare the quality of various polychromatic and monochromatic images with or without using an iterative metal artifact reduction algorithm (iMAR) obtained from a dual-energy computed tomography (CT) to evaluate total knee arthroplasty. MATERIALS AND METHODS: We included 58 patients (28 male and 30 female; mean age [range], 71.4 [61–83] years) who underwent 74 knee examinations after total knee arthroplasty using dual-energy CT. CT image sets consisted of polychromatic image sets that linearly blended 80 kVp and tin-filtered 140 kVp using weighting factors of 0.4, 0, and −0.3, and monochromatic images at 130, 150, 170, and 190 keV. These image sets were obtained with and without applying iMAR, creating a total of 14 image sets. Two readers qualitatively ranked the image quality (1 [lowest quality] through 14 [highest quality]). Volumes of high- and low-density artifacts and contrast-to-noise ratios (CNRs) between the bone and fat tissue were quantitatively measured in a subset of 25 knees unaffected by metal artifacts. RESULTS: iMAR-applied, polychromatic images using weighting factors of −0.3 and 0.0 (P(−0.3i) and P(0.0i), respectively) showed the highest image-quality rank scores (median of 14 for both by one reader and 13 and 14, respectively, by the other reader; p < 0.001). All iMAR-applied image series showed higher rank scores than the iMAR-unapplied ones. The smallest volumes of low-density artifacts were found in P(−0.3i), P(0.0i), and iMAR-applied monochromatic images at 130 keV. The smallest volumes of high-density artifacts were noted in P(−0.3i). The CNRs were best in polychromatic images using a weighting factor of 0.4 with or without iMAR application, followed by polychromatic images using a weighting factor of 0.0 with or without iMAR application. CONCLUSION: Polychromatic images combined with iMAR application, P(−0.3i) and P(0.0i), provided better image qualities and substantial metal artifact reduction compared with other image sets. The Korean Society of Radiology 2021-08 2021-05-26 /pmc/articles/PMC8316773/ /pubmed/34132074 http://dx.doi.org/10.3348/kjr.2020.0548 Text en Copyright © 2021 The Korean Society of Radiology https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Musculoskeletal Imaging Choo, Hye Jung Lee, Sun Joo Kim, Dong Wook Lee, Yoo Jin Baek, Jin Wook Han, Ji-yeon Heo, Young Jin Comparison of the Quality of Various Polychromatic and Monochromatic Dual-Energy CT Images with or without a Metal Artifact Reduction Algorithm to Evaluate Total Knee Arthroplasty |
title | Comparison of the Quality of Various Polychromatic and Monochromatic Dual-Energy CT Images with or without a Metal Artifact Reduction Algorithm to Evaluate Total Knee Arthroplasty |
title_full | Comparison of the Quality of Various Polychromatic and Monochromatic Dual-Energy CT Images with or without a Metal Artifact Reduction Algorithm to Evaluate Total Knee Arthroplasty |
title_fullStr | Comparison of the Quality of Various Polychromatic and Monochromatic Dual-Energy CT Images with or without a Metal Artifact Reduction Algorithm to Evaluate Total Knee Arthroplasty |
title_full_unstemmed | Comparison of the Quality of Various Polychromatic and Monochromatic Dual-Energy CT Images with or without a Metal Artifact Reduction Algorithm to Evaluate Total Knee Arthroplasty |
title_short | Comparison of the Quality of Various Polychromatic and Monochromatic Dual-Energy CT Images with or without a Metal Artifact Reduction Algorithm to Evaluate Total Knee Arthroplasty |
title_sort | comparison of the quality of various polychromatic and monochromatic dual-energy ct images with or without a metal artifact reduction algorithm to evaluate total knee arthroplasty |
topic | Musculoskeletal Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316773/ https://www.ncbi.nlm.nih.gov/pubmed/34132074 http://dx.doi.org/10.3348/kjr.2020.0548 |
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