Reproducibility of Electromagnetic Field Simulations of Local Radiofrequency Transmit Elements Tailored for 7 T MRI

The literature reports on radiofrequency (RF) transmit (Tx) elements tailored for ultrahigh-field (UHF) magnetic resonance imaging (MRI) showed confounded reproducibility due to variations in simulation tools, modeling assumptions, and meshing techniques. This study proposes a standardized methodology to improve reproducibility and consistency across research sites (testers) and simulation tools (testing conditions). The methodology includes detailed simulation workflow and performance metrics for RF Tx elements. The impact of the used mesh setting is assessed. Following the methodology, a reproducibility study was conducted using CST Microwave Studio Suite, HFSS, and Sim4Life. The methodology and simulations were ultimately validated through 7 T MRI phantom experiments. The reproducibility study showed consistent performance with less than 6% standard deviation for <i>B</i><sub>1</sub><sup>+</sup> fields and 12% for peak SAR averaged over 10 g tissue (pSAR<sub>10g</sub>). The SAR efficiency metric (|<i>B</i><sub>1</sub><sup>+</sup>|/√pSAR<sub>10g</sub>) was particularly robust (<5%). The simulated and experimental |<i>B</i><sub>1</sub><sup>+</sup>| maps showed good qualitative agreement. This study demonstrates the feasibility of a standardized methodology for achieving reproducible RF Tx element electromagnetic field simulations. By following the FAIR principles including making the framework publicly available, we promote transparency and collaboration within the MRI community, supporting the advancement of technological innovation and improving patient safety in UHF-MRI.

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Publication Details

Journal
Sensors
Published
2025-03-17
DOI
https://doi.org/10.3390/s25061867
Citations
2
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
2.72

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article

Reproducibility of Electromagnetic Field Simulations of Local Radiofrequency Transmit Elements Tailored for 7 T MRI

Stephan Orzada, Thomas M. Fiedler, Sam-Luca Hansen, Nandita Saha et al.
2 citations
Sensors
Advanced MRI Techniques and Applications
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article

Reproducibility of Electromagnetic Field Simulations of Local Radiofrequency Transmit Elements Tailored for 7 T MRI

Stephan Orzada, Thomas M. Fiedler, Sam-Luca Hansen, Nandita Saha, Max Joris Hubmann, Max Lutz, Robert Kowal, Natalie Schön, Holger Maune, Oliver Speck, Daniel Wenz, Bilguun Nurzed, Boris Keil, Thoralf Niendorf, Lukas Winter
article en
2 citations

Abstract

The literature reports on radiofrequency (RF) transmit (Tx) elements tailored for ultrahigh-field (UHF) magnetic resonance imaging (MRI) showed confounded reproducibility due to variations in simulation tools, modeling assumptions, and meshing techniques. This study proposes a standardized methodology to improve reproducibility and consistency across research sites (testers) and simulation tools (testing conditions). The methodology includes detailed simulation workflow and performance metrics for RF Tx elements. The impact of the used mesh setting is assessed. Following the methodology, a reproducibility study was conducted using CST Microwave Studio Suite, HFSS, and Sim4Life. The methodology and simulations were ultimately validated through 7 T MRI phantom experiments. The reproducibility study showed consistent performance with less than 6% standard deviation for <i>B</i><sub>1</sub><sup>+</sup> fields and 12% for peak SAR averaged over 10 g tissue (pSAR<sub>10g</sub>). The SAR efficiency metric (|<i>B</i><sub>1</sub><sup>+</sup>|/√pSAR<sub>10g</sub>) was particularly robust (<5%). The simulated and experimental |<i>B</i><sub>1</sub><sup>+</sup>| maps showed good qualitative agreement. This study demonstrates the feasibility of a standardized methodology for achieving reproducible RF Tx element electromagnetic field simulations. By following the FAIR principles including making the framework publicly available, we promote transparency and collaboration within the MRI community, supporting the advancement of technological innovation and improving patient safety in UHF-MRI.

SensorsVol. 25(6)
Physikalisch-Technische Bundesanstalt (DE), Berliner Hochschule für Technik (DE), Philipps University of Marburg (DE), German Cancer Research Center (DE), Max Delbrück Center (DE), Heidelberg University (DE), Centre d'Imagerie BioMedicale (CH), Technische Hochschule Mittelhessen (DE), Technische Universität Berlin (DE), École Polytechnique Fédérale de Lausanne (CH), Charité - Universitätsmedizin Berlin (DE), Otto-von-Guericke-Universität Magdeburg (DE)
Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, European Research Council, European Regional Development Fund
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Advanced MRI Techniques and Applications
2.72
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