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Abstract #1039

Peripheral Nerve Stimulation (PNS) constrained gradient coil design within a Boundary Element Method Stream Function (BEM-SF) optimization

Mathias Davids1,2, Bastien Guérin2,3, 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

Gradient system performance is increasingly constrained by Peripheral Nerve Stimulation (PNS). Nonetheless, gradient coil windings are optimized using the boundary element stream function method (BEM-SF) incorporating only non-biological metrics. We introduce direct incorporation of PNS constraints into a BEM-SF optimization in addition to the usual constraints. We pre-compute a novel PNS “oracle” matrix of each nerve segment’s likelihood to be excited by a given stream-function basis. The constraint is linear in current, so stimulation likelihood is a simple sum over all stream function bases. This allows convex optimization with a PNS constraint and examination of tradeoffs with linearity, inductance, torque and efficiency.

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