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Abstract #4429

B1-Based SAR Estimation for Human Brain Imaging with Average Brain Property Values Substitution

Xiaotong Zhang1, Jiaen Liu1, Sebastian Schmitter2, Pierre-Francois Van de Moortele2, Bin He1

1Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States; 2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States

Recently proposed Electrical Properties Tomography technique, which aims to reconstruct the electrical properties of biological tissues via measured B1, provides a feasible way for quantitative subject-specific SAR estimation. However, Laplacian over B1 is involved in the inverse algorithm, which may severely suffer from noise-contamination in measured B1, and deteriorate the reliability of SAR estimation. In this study, by using multi-channel coil at 7T for brain imaging, the performance of local SAR calculation has been evaluated when literature-reported average electrical property and mass density values are employed as a substitution, which intends for a more robust and reliable SAR estimation approach.

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