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Development and evaluation of a numerical simulation approach to predict metal artifacts from passive implants in MRI

OBJECTIVE: This study presents the development and evaluation of a numerical approach to simulate artifacts of metallic implants in an MR environment that can be applied to improve the testing procedure for MR image artifacts in medical implants according to ASTM F2119. METHODS: The numerical approa...

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Autores principales: Spronk, Tobias, Kraff, Oliver, Kreutner, Jakob, Schaefers, Gregor, Quick, Harald H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188622/
https://www.ncbi.nlm.nih.gov/pubmed/34655346
http://dx.doi.org/10.1007/s10334-021-00966-5
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author Spronk, Tobias
Kraff, Oliver
Kreutner, Jakob
Schaefers, Gregor
Quick, Harald H.
author_facet Spronk, Tobias
Kraff, Oliver
Kreutner, Jakob
Schaefers, Gregor
Quick, Harald H.
author_sort Spronk, Tobias
collection PubMed
description OBJECTIVE: This study presents the development and evaluation of a numerical approach to simulate artifacts of metallic implants in an MR environment that can be applied to improve the testing procedure for MR image artifacts in medical implants according to ASTM F2119. METHODS: The numerical approach is validated by comparing simulations and measurements of two metallic test objects made of titanium and stainless steel at three different field strengths (1.5T, 3T and 7T). The difference in artifact size and shape between the simulated and measured artifacts were evaluated. A trend analysis of the artifact sizes in relation to the field strength was performed. RESULTS: The numerical simulation approach shows high similarity (between 75% and 84%) of simulated and measured artifact sizes of metallic implants. Simulated and measured artifact sizes in relation to the field strength resulted in a calculation guideline to determine and predict the artifact size at one field strength (e.g., 3T or 7T) based on a measurement that was obtained at another field strength only (e.g. 1.5T). CONCLUSION: This work presents a novel tool to improve the MR image artifact testing procedure of passive medical implants. With the help of this tool detailed artifact investigations can be performed, which would otherwise only be possible with substantial measurement effort on different MRI systems and field strengths.
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spelling pubmed-91886222022-06-13 Development and evaluation of a numerical simulation approach to predict metal artifacts from passive implants in MRI Spronk, Tobias Kraff, Oliver Kreutner, Jakob Schaefers, Gregor Quick, Harald H. MAGMA Research Article OBJECTIVE: This study presents the development and evaluation of a numerical approach to simulate artifacts of metallic implants in an MR environment that can be applied to improve the testing procedure for MR image artifacts in medical implants according to ASTM F2119. METHODS: The numerical approach is validated by comparing simulations and measurements of two metallic test objects made of titanium and stainless steel at three different field strengths (1.5T, 3T and 7T). The difference in artifact size and shape between the simulated and measured artifacts were evaluated. A trend analysis of the artifact sizes in relation to the field strength was performed. RESULTS: The numerical simulation approach shows high similarity (between 75% and 84%) of simulated and measured artifact sizes of metallic implants. Simulated and measured artifact sizes in relation to the field strength resulted in a calculation guideline to determine and predict the artifact size at one field strength (e.g., 3T or 7T) based on a measurement that was obtained at another field strength only (e.g. 1.5T). CONCLUSION: This work presents a novel tool to improve the MR image artifact testing procedure of passive medical implants. With the help of this tool detailed artifact investigations can be performed, which would otherwise only be possible with substantial measurement effort on different MRI systems and field strengths. Springer International Publishing 2021-10-16 2022 /pmc/articles/PMC9188622/ /pubmed/34655346 http://dx.doi.org/10.1007/s10334-021-00966-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Spronk, Tobias
Kraff, Oliver
Kreutner, Jakob
Schaefers, Gregor
Quick, Harald H.
Development and evaluation of a numerical simulation approach to predict metal artifacts from passive implants in MRI
title Development and evaluation of a numerical simulation approach to predict metal artifacts from passive implants in MRI
title_full Development and evaluation of a numerical simulation approach to predict metal artifacts from passive implants in MRI
title_fullStr Development and evaluation of a numerical simulation approach to predict metal artifacts from passive implants in MRI
title_full_unstemmed Development and evaluation of a numerical simulation approach to predict metal artifacts from passive implants in MRI
title_short Development and evaluation of a numerical simulation approach to predict metal artifacts from passive implants in MRI
title_sort development and evaluation of a numerical simulation approach to predict metal artifacts from passive implants in mri
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188622/
https://www.ncbi.nlm.nih.gov/pubmed/34655346
http://dx.doi.org/10.1007/s10334-021-00966-5
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