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Abstract #0178

In-vivo Electromagnetic Field Mapping for Transcranial Electrical Stimulation (tES) using Deep Learning

Saurav Zaman Khan Sajib1, Munish Chauhan1, and Rosalind J Sadleir1
1School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, United States

Magnetic flux densities induced by tES currents can be measured from MR phase and used to reconstruct current density, electric field and conductivity tensor distributions, via diffusion tensor magnetic resonance electrical impedance tomography (DT-MREIT). Determination of tES electric field distributions from DT-MREIT conductivities is challenging, because DT-MREIT requires data from two independent current administrations, increasing acquisition time. We demonstrate a deep-learning model for DT-MREIT reconstruction, showing that conductivity tensors and electric fields can be measured in human subjects in-vivo using a single current administration. This strategy can be used to directly monitor tES electric fields and verify treatment precision.

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