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Abstract #2745

Coil Tuning with Piezoelectric Actuators Using the MRI Signal as the Optimization Parameter

Aaron T. Hess1, Carl J. Snyder2, Graeme A. Keith3, Christopher T. Rodgers3, Stefan Neubauer3, University of Minnesota University of Minnesota Vaughan4, Matthew D. Robson3

1University of Oxford, Oxford, Oxon, United Kingdom; 2University of Minnesota - Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States; 3University of Oxford Centre for Clinical Magnetic Resonance Research, Oxford, Oxon, United Kingdom; 4University of Minnesota - Center for Magnetic Resonance Research, Minneapolis, MN, United States

The effectiveness of using MRI signal from turbo flash images to tune and match a four element transmit receive transverse electromagnetic (TEM) coil is assessed. The complete range of the tune and match capacitors is assessed over a 30x32 grid using piezoelectric controlled actuators. The measure was repeated in four coil elements in a phantom and two subjects. The maximum MRI signal fell within -10 dB reflected/forward power (S11) for the four elements. We conclude that MRI is a suitable metric for tuning and matching a TEM coil but less sensitive around the optimum than the S11 metric.

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