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Abstract #2774

Inverse Field-Based Approach for the Evaluation of Electromagnetic Fields and Its Application in Local SNR Shimming

Jin Jin1, Feng Liu1, Ewald Weber1, Stuart Crozier1

1The School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Queensland, Australia

The substantial challenges for high-field magnetic resonance imaging are the control of transmit magnetic field (B1+) homogeneity and the specific absorption rate (SAR), so that the potential for higher signal-to-noise ratio (SNR) at high fields can be realised. To address these challenges, we demonstrate the use of the inverse field-based approach for simultaneous mapping of the magnetic and the concomitant electric field distributions within the imaged subject. Using a simple yet effective RF shimming algorithm, dubbed SNR shimming, the complete knowledge of the electromagnetic field distribution enables us to more effectively regulate B1-inhomogeneity, maximum local SAR and local SNR.