MR-EPT aims to non-invasively assess the electrical properties (EP) of the tissues. However, conventional methods based on second-order derivatives of the transmit field are hampered by high noise amplification and boundary errors. Here, we propose to rely on the correlation between electrical properties and water content, which in turn is correlated to tissue T1, in order to extract EP maps from MR Fingerprinting based T1 estimation. We demonstrate whole-brain high-resolution EP mapping of healthy human volunteers and consistent results with both theoretical predictions and standard MR-EPT estimations.
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