Abstract #0353

Heat Equation Inversion (HEI) Algorithm Sensitivity Assessment for Computation of SAR from MR Thermometry Acquisitions

Leeor Alon^1,2,3,4, Daniel Sodickson^1,2,3, and Cem M. Deniz^1,2,3,4

¹Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, NY, United States, ²Center for Biomedical Imaging, New York University School of Medicine, New York, NY, United States, ³NYU Wireless, NYU-Poly, New York, NY, United States, ⁴RF Test Labs, New York, NY, United States

MR thermometry methods are often used to assess safety of RF antennas. Typically thermal mapping is conducted in phantoms, which measures the temperature change as result of exposure to RF waves. From these temperature difference maps, SAR distribution can be reconstructed using the inverse heat equation (HEI) framework . With a goal of of testing the robustness of this method, in this work, we assessed the fidelity of the algorithm with respect to different regularization parameter, different SAR distributions, excitation frequencies and heating durations.

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