Subject-specific PNS prediction using a localizer and fast E-field calculation

Motivation: Given the large population variability in PNS thresholds (~3-fold), rapid and accurately prediction of PNS thresholds for individual subjects would be valuable. Goal(s): To apply our E-field-based PNS prediction method to individual subjects, and to test the hypothesis that we can predict an individual subject’s PNS threshold with reasonable accuracy. Approach: Subject-specific body models were fit to an individual’s anatomy based on a localizer. E-field calculations yielded Emax and therefore PNS threshold. We compared to measured PNS thresholds using 3 different head gradient coils and 7 different gradient directions. Results: Individual subject PNS thresholds values can be predicted to an accuracy of ~35%. Impact: There would be significant advantages in being able to predict PNS thresholds rapidly and accurately for individual subjects. This would allow much more effective use of high-performance gradient hardware, benefitting the subset of the population with high PNS thresholds.