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Accelerating implant RF safety assessment using a low‐rank inverse update method

PURPOSE: Patients who have medical metallic implants, e.g. orthopaedic implants and pacemakers, often cannot undergo an MRI exam. One of the largest risks is tissue heating due to the radio frequency (RF) fields. The RF safety assessment of implants is computationally demanding. This is due to the l...

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Autores principales: Stijnman, Peter R. S., Tokaya, Janot P., van Gemert, Jeroen, Luijten, Peter R., Pluim, Josien P. W., Brink, Wyger M., Remis, Rob F., van den Berg, Cornelis A. T., Raaijmakers, Alexander J. E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003873/
https://www.ncbi.nlm.nih.gov/pubmed/31566265
http://dx.doi.org/10.1002/mrm.28023
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author Stijnman, Peter R. S.
Tokaya, Janot P.
van Gemert, Jeroen
Luijten, Peter R.
Pluim, Josien P. W.
Brink, Wyger M.
Remis, Rob F.
van den Berg, Cornelis A. T.
Raaijmakers, Alexander J. E.
author_facet Stijnman, Peter R. S.
Tokaya, Janot P.
van Gemert, Jeroen
Luijten, Peter R.
Pluim, Josien P. W.
Brink, Wyger M.
Remis, Rob F.
van den Berg, Cornelis A. T.
Raaijmakers, Alexander J. E.
author_sort Stijnman, Peter R. S.
collection PubMed
description PURPOSE: Patients who have medical metallic implants, e.g. orthopaedic implants and pacemakers, often cannot undergo an MRI exam. One of the largest risks is tissue heating due to the radio frequency (RF) fields. The RF safety assessment of implants is computationally demanding. This is due to the large dimensions of the transmit coil compared to the very detailed geometry of an implant. METHODS: In this work, we explore a faster computational method for the RF safety assessment of implants that exploits the small geometry. The method requires the RF field without an implant as a basis and calculates the perturbation that the implant induces. The inputs for this method are the incident fields and a library matrix that contains the RF field response of every edge an implant can occupy. Through a low‐rank inverse update, using the Sherman–Woodbury–Morrison matrix identity, the EM response of arbitrary implants can be computed within seconds. We compare the solution from full‐wave simulations with the results from the presented method, for two implant geometries. RESULTS: From the comparison, we found that the resulting electric and magnetic fields are numerically equivalent (maximum error of 1.35%). However, the computation was between 171 to 2478 times faster than the corresponding GPU accelerated full‐wave simulation. CONCLUSIONS: The presented method enables for rapid and efficient evaluation of the RF fields near implants and might enable situation‐specific scanning conditions.
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spelling pubmed-70038732020-02-11 Accelerating implant RF safety assessment using a low‐rank inverse update method Stijnman, Peter R. S. Tokaya, Janot P. van Gemert, Jeroen Luijten, Peter R. Pluim, Josien P. W. Brink, Wyger M. Remis, Rob F. van den Berg, Cornelis A. T. Raaijmakers, Alexander J. E. Magn Reson Med Full Papers—Computer Processing and Modeling PURPOSE: Patients who have medical metallic implants, e.g. orthopaedic implants and pacemakers, often cannot undergo an MRI exam. One of the largest risks is tissue heating due to the radio frequency (RF) fields. The RF safety assessment of implants is computationally demanding. This is due to the large dimensions of the transmit coil compared to the very detailed geometry of an implant. METHODS: In this work, we explore a faster computational method for the RF safety assessment of implants that exploits the small geometry. The method requires the RF field without an implant as a basis and calculates the perturbation that the implant induces. The inputs for this method are the incident fields and a library matrix that contains the RF field response of every edge an implant can occupy. Through a low‐rank inverse update, using the Sherman–Woodbury–Morrison matrix identity, the EM response of arbitrary implants can be computed within seconds. We compare the solution from full‐wave simulations with the results from the presented method, for two implant geometries. RESULTS: From the comparison, we found that the resulting electric and magnetic fields are numerically equivalent (maximum error of 1.35%). However, the computation was between 171 to 2478 times faster than the corresponding GPU accelerated full‐wave simulation. CONCLUSIONS: The presented method enables for rapid and efficient evaluation of the RF fields near implants and might enable situation‐specific scanning conditions. John Wiley and Sons Inc. 2019-09-30 2020-05 /pmc/articles/PMC7003873/ /pubmed/31566265 http://dx.doi.org/10.1002/mrm.28023 Text en © 2019 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Full Papers—Computer Processing and Modeling
Stijnman, Peter R. S.
Tokaya, Janot P.
van Gemert, Jeroen
Luijten, Peter R.
Pluim, Josien P. W.
Brink, Wyger M.
Remis, Rob F.
van den Berg, Cornelis A. T.
Raaijmakers, Alexander J. E.
Accelerating implant RF safety assessment using a low‐rank inverse update method
title Accelerating implant RF safety assessment using a low‐rank inverse update method
title_full Accelerating implant RF safety assessment using a low‐rank inverse update method
title_fullStr Accelerating implant RF safety assessment using a low‐rank inverse update method
title_full_unstemmed Accelerating implant RF safety assessment using a low‐rank inverse update method
title_short Accelerating implant RF safety assessment using a low‐rank inverse update method
title_sort accelerating implant rf safety assessment using a low‐rank inverse update method
topic Full Papers—Computer Processing and Modeling
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003873/
https://www.ncbi.nlm.nih.gov/pubmed/31566265
http://dx.doi.org/10.1002/mrm.28023
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