Key points are not available for this paper at this time.
A method is proposed for real time patient-specific local SAR estimation based on B1 field mapping and machine-learning. The axial component of RF E-field is estimated by electric property tomography (EPT) method from B1 field, and the transversal component of RF E-field is predicted by a cycleGAN model trained with EM simulation input data. The safety factor of peak local SAR estimation is analyzed for a large set of random transmit weighting factors and the feasibility of the method is discussed.
Che et al. (Wed,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: