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Updated: Sep 18, 2026

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
Published on: February 19, 2021
High Dynamic Range Turbo-FLASH B1 Mapping for Characterizing Multi-Transmit Multi-Receive RF Arrays, Validated at 7 T
Natalia Dudysheva1, Franck Mauconduit1, Michel Luong2
1Université Paris-Saclay, CEA, CNRS, BAOBAB, NeuroSpin, Gif sur Yvette, France.
Purpose:
Transmit (B1 +) and receive (B1 -) sensitivities of parallel-transmit/receive RF array are a prerequisite for modern ultra-high-field MRI. Their accurate mapping remains challenging for coils with high transmit dynamic range, particularly in regions with low combined-mode B1 + magnitude, where standard reconstruction is impaired by noise. This work presents a new B1 + and B1 - model-based fitting approach for interferometric presaturated TurboFLASH (satTFL) data. With an optimized acquisition scheme, this method improves B1 +/B1 - mapping accuracy.
Methods:
Voxel-wise B1 + and B1 - are expressed as the product of a complex unit-norm vector (phasor) and a scalar (efficiency). Phasors are estimated through singular value decomposition of satTFL signals, and efficiencies are recovered with fitting to the signal equation. This method was evaluated in phantom simulations for 7 T and 11.7 T 8Tx/32Rx RF arrays and compared with standard approaches. As it supports a variable number of pre-saturated scans, different interferometric schemes were optimized for B1 + accuracy. Finally, schemes yielding acceptable B1 + error with minimal acquisition time were tested in vitro at 7 T and 11.7 T and in vivo at 7 T.
Results:
The proposed method provided lower median B1 + and B1 - errors than conventional satTFL methods and fewer outliers; the number of voxels with error > 30% is reduced from several dozens to zero. In vitro results were consistent with the simulations, and in vivo maps demonstrated good quality.
Conclusion:
The proposed method improves B1 + and B1 - mapping robustness to noise and enables more flexible satTFL acquisition scheme, allowing better trade-offs between accuracy and scan time.
