Subject Specific Prediction of Gradient-Induced E-fields Using a Multivariate Linear Modeling Approach

Peripheral Nerve Stimulation (PNS) remains as a limiting factor for gradient coils despite the recent advances. PNS thresholds varies significantly across population group. In this study, E-fields are simulated on simplified body model population with randomized realistic body dimensions and different patient landmark positions. It is shown that multivariate linear model with body dimensions and z-offset location as the independent variables can accurately predict the maximum E-field on the surface which can also be used to predict PNS thresholds. This simple multivariate model may pave the way to estimate subject specific PNS thresholds using simple anatomical measurements.