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Abstract #0726

The PNS oracle: a modified neural activation function metric for rapid assessment of Peripheral Nerve Stimulation (PNS)

Mathias Davids1,2, Bastien Guérin2,3, Valerie Klein1, Lothar R. Schad1, and Lawrence L. Wald2,3,4

1Computer Assisted Clinical Medicine, Heidelberg University, Mannheim, Germany, 2A.A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Harvard-MIT Division of Health Sciences Technology, Cambridge, MA, United States

As gradient engineering advances, Peripheral Nerve Stimulation (PNS) increasingly limits MRI gradient coil use. The ability to predict a winding pattern’s PNS threshold could be useful during design iteration, but recently introduced methods for simulating the threshold in full body models including nerve atlases and neurodynamic simulations are computationally slow. Here we present a simple PNS oracle which is linear (with respect to the E-field) that allows prediction of the gradient-induced stimulation threshold without relying on full neurodynamic modeling. We validated the fast oracle against the full neurodynamic model in multiple gradient coils and two body models.

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