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Reproducibility of electromagnetic field simulations of local radiofrequency transmit elements tailored for 7 T MRI

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Item Type:Article
Title:Reproducibility of electromagnetic field simulations of local radiofrequency transmit elements tailored for 7 T MRI
Creators Name:Hubmann, M.J., Nurzed, B., Hansen, S.L., Kowal, R., Schön, N., Wenz, D., Saha, N., Lutz, M., Fiedler, T.M., Orzada, S., Winter, L., Keil, B., Maune, H., Speck, O. and Niendorf, T.
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 B(1)(+) fields and 12% for peak SAR averaged over 10 g tissue (pSAR10g). The SAR efficiency metric (|B(1)(+)|/√pSAR(10g)) was particularly robust (<5%). The simulated and experimental |B(1)(+)| 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.
Keywords:Numerical Simulations, Reproducibility, Radiofrequency, RF Transmit Elements, MRI, Ultrahigh Field MRI, Validation
Source:Sensors
ISSN:1424-8220
Publisher:MDPI
Volume:25
Number:6
Page Range:1867
Date:March 2025
Official Publication:https://doi.org/10.3390/s25061867

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