Key result
In vivo brain conductivity for MRI safety modeling cuts phase errors ~48% versus conventional values.
Why the study?
Radiofrequency safety studies rely on tissue databases where brain conductivity was measured ex vivo, and it was hypothesized that using recent in vivo conductivity measurements would improve simulation accuracy.
Does using in vivo brain conductivity values improve the accuracy of RF safety modeling in MRI compared to conventional ex vivo values?
Does using in vivo brain conductivity values improve the accuracy of RF safety modeling in MRI compared to conventional ex vivo values?
Effect estimate: 48% reduction
p-value: p=0.0004
Using in vivo brain conductivity values improves the accuracy of radiofrequency safety modeling in MRI compared to conventional ex vivo values.
Tissue electrical properties are required by electromagnetic simulation software to conduct radiofrequency (RF) safety studies. Values are commonly taken from existing databases of tissue properties, where brain conductivity was measured ex vivo. We hypothesize that using in vivo brain conductivity values, as reported in the recent literature on in vivo MRI measurements, can improve the accuracy of such simulations. Sixteen subjects were scanned at 3T to obtain experimental maps of the transmit RF field, B 1 + B₁⁺ , of the head. Electromagnetic simulations were performed using biomodels with varying morphologies, using both a conventional ( σ ex vivo = 0.46 S / m σex\ vivo=0.46\ S/m ) and a modified brain conductivity ( σ in vivo = 0.70 S / m σin\ vivo=0.70\ S/m ). A framework was developed to process the simulated B 1 + B₁⁺ fields, including a systematic method to combine the two excitation ports of the transmit coil model (accounting for different load impedances between simulation and experiment), geometric alignment, and scaling of the simulated fields, allowing a quantitative comparison of complex B 1 + B₁⁺ maps of the brain with experimental maps. Specific absorption rate (SAR) maps were also estimated by different methods, including a novel B 1 + B₁⁺ -derived formula. Normalized root-mean-squared errors between simulation and experiment, in the brain, were approximately 6% for B 1 + B₁⁺ magnitude. While head geometry mainly impacted the accuracy of B 1 + B₁⁺ magnitude, with errors up to 11% (p = 0.007) between the best fitting human model and the worst one, brain electrical conductivity mainly impacted B 1 + B₁⁺ phase, with errors reduced by 48% when using σ in vivo σin\ vivo instead of σ ex vivo σex\ vivo (p = 0.0004). The agreement in average brain SAR, between simulation and experiment, was also improved, with differences reduced from 62% ( σ ex vivo σex\ vivo ) to 22% ( σ in vivo σin\ vivo ). Using brain conductivity values from recent in vivo studies improves the accuracy of RF safety modelling. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT04645628.
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Paillart et al. (2026) studied this question. In vivo brain conductivity values vs. Conventional ex vivo brain conductivity values was evaluated on Phase errors between simulation and experiment (48% reduction, p=0.0004). Using in vivo brain conductivity values for MRI safety modelling reduced phase errors by 48% (p=0.0004) and improved average brain SAR agreement from 62% to 22% compared to conventional values.
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