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Abstract #3869

Local SAR Calibration and Prediction Model in Parallel Transmit MRI

Leeor Alon1, Cem Murat Deniz1, Riccardo Lattanzi1, Graham Wiggins1, Ryan Brown1, Daniel K. Sodickson1,2, Yudong Zhu1

1Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, NYU School of Medicine, New York, NY, United States; 2Sackler Institute of Graduate Biomedical Sciences, NYU School of Medicine, New York, NY

Current SAR monitoring methods offer no capability for a-priori prediction of local SAR under actual experimental conditions. In this study, we present a model implementation for the calibration and prediction of local SAR distribution in parallel transmit MR systems. Calibration based on a modest number of targeted MR thermometry experiments suffices to enable accurate prediction of local SAR maps for any pulse shape in situ as long as the temperature change is within linear regime and heating occurs rapidly. This method is a potential candidate for ex-vivo local SAR prediction, which would be useful to evaluate the performance of parallel transmit coil setups on various tissues with different electrical properties. In vivo applications will also be explored.