Abstract #0549

Improving Peak Local SAR Prediction in Parallel Transmit Using In-situ S-matrix Measurements

Matthew Restivo¹, Alexander Raaijmakers¹, Cornelis A.T. van den Berg¹, Pedro Crespo-Valero², Peter Luijten¹, and Hans Hoogduin¹

¹Center for Imaging Sciences, University Medical Center Utrecht, Utrecht, Netherlands, ²Zurich Med Tech, Zurich, Switzerland

We propose a technique where we measure the real S-matrix of the array/subject setup in-situ and then closely match it in simulation using circuit co-simulation with a modified cost function. We show that by accurately simulating coupling, the B1+ and thus the SAR can be better predicted using FDTD simulations. Better pTx SAR predictions will ensure RF safety while reducing the overly conservative pTx SAR predictions that are used currently.

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