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Abstract #0641

Sensitivity analysis of Peripheral Nerve Stimulation modeling: Which model parameters actually matter?

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

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

Peripheral nerve stimulation (PNS) has become the main limitation for MRI with high-performance gradients. Recently, we proposed a simulation framework to predict PNS thresholds for arbitrary coil geometries to directly address PNS considerations during the coil prototyping phase. In order to ensure robust modeling of PNS (and thus convergence of the coil optimization phase), we analyze the sensitivity of our framework to key simulation parameters such as the temporal and spatial resolution of the induced electric fields, dielectric tissue parameters of our body models, and the location of the neurodynamic model compartments along the nerve fibers.

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