2-spoke placement optimization under explicit SAR and power constraints in parallel transmission at ultra-high field

The simultaneous optimization of 2-spoke trajectories and RF-waveforms in the Magnitude Least Squares problem in parallel transmission is performed under explicit SAR and power constraints for axial slices of the human brain at 7 T. After making the observation that only the vector between the 2 spokes is relevant for the MLS cost-function, an active-set algorithm optimizes both the RF-weights and this vector starting from a large set of initial k-space candidates. A final normalized root mean square error of less than 2 % is systematically returned for 4 volunteers datasets. Bloch simulations and in-vivo T2*-weighted images validate the approach.

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