To perform accurate T1 and T2 mapping, $$$B_1^+$$$ maps are usually required, but not always available. For these situations, a large dataset of $$$B_1^+$$$ maps may aid in predicting $$$B_1^+$$$. In this work, Bloch-Siegert $$$B_1^+$$$ maps in the brain are characterized from a dataset of 373 healthy participants on the same 3 T. After transforming all maps to the same standard space, we show that $$$B_1^+$$$ distribution is similar across subjects with a mean CoV of 3.65% across the whole brain; slight variations were found due to brain size, shape, CSF volume, head orientation and transmit power calibration.
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