Magnetic resonance in medicine · 2026
A Fast B 1 + -Driven RF Co-Simulation Optimization Method for RF Coil Arrays.
СтатьяНазвание и аннотация: Перевод в очереди
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Mustafa Mazin M, Polcyn Ethan, Waks Matt, Bratch Alexander, Metzger Gregory J, Li Xiufeng, Eryaman Yigitcan
Аннотация
PURPOSE: To generate accurate EM simulation models of RF coil arrays, improve coil safety validation procedures, and improve RF power management without sacrificing patient safety.
METHODS: A fast, customized RF co-simulation formulation was developed for pTx RF coils, enabling the use of experimentally measured B 1 + maps to optimize the values of lumped elements, phase shifters, and attenuators in the EM simulation model, and demonstrate in a phantom. The proposed method was tested on an 8-channel pTx knee coil at 7T and a 16-channel pTx head coil at 10.5T. An RF co-simulation optimization method that relies solely on matching the simulated and experimental S -matrices was also implemented as a baseline. 50,000 random RF shims were used to evaluate the B 1 + error for both co-simulation optimization methods.
RESULTS: The proposed B 1 + -driven co-simulation optimization method generated accurate B 1 + maps when compared to experimentally measured B 1 + maps. The proposed method reduced the average NRMSE of the EM modeling against the measurements from 48.0% to 30.8% for the 7T 8-channel coil, and from 91.1% to 50.9% for the 10.5T 16-channel coil when compared to conventional methods using 50,000 random RF shims.
CONCLUSION: The developed B 1 + -driven RF co-simulation optimization method in this work can be used to generate a more accurate EM simulation model of custom-built arrays and potentially reduce the need for large safety margins, with improved RF power management.
METHODS: A fast, customized RF co-simulation formulation was developed for pTx RF coils, enabling the use of experimentally measured B 1 + maps to optimize the values of lumped elements, phase shifters, and attenuators in the EM simulation model, and demonstrate in a phantom. The proposed method was tested on an 8-channel pTx knee coil at 7T and a 16-channel pTx head coil at 10.5T. An RF co-simulation optimization method that relies solely on matching the simulated and experimental S -matrices was also implemented as a baseline. 50,000 random RF shims were used to evaluate the B 1 + error for both co-simulation optimization methods.
RESULTS: The proposed B 1 + -driven co-simulation optimization method generated accurate B 1 + maps when compared to experimentally measured B 1 + maps. The proposed method reduced the average NRMSE of the EM modeling against the measurements from 48.0% to 30.8% for the 7T 8-channel coil, and from 91.1% to 50.9% for the 10.5T 16-channel coil when compared to conventional methods using 50,000 random RF shims.
CONCLUSION: The developed B 1 + -driven RF co-simulation optimization method in this work can be used to generate a more accurate EM simulation model of custom-built arrays and potentially reduce the need for large safety margins, with improved RF power management.