The invention discloses a
peripheral nerve stimulation threshold prediction method of a magnetic
resonance gradient coil and application thereof. The method comprises the following steps: firstly, designing a reference coil group with differentiated electromagnetic parameters based on a target gradient coil space structure; then combining a high-precision virtual
human body anatomical model and an electromagnetic-neurodynamics
coupling model, calculating the induction
electric field distribution and stimulation threshold of each coil, and positioning sensitive
neuron nodes; expressing a stimulation function as a weighted sum of a local magnetic
vector potential component, constructing a linear equation set, and solving an optimal coefficient by adopting a least square method; and finally, establishing a
linear regression model of a stimulation function and a threshold reciprocal, and defining a prediction function based on a
local field. The prediction method provided by the invention has both calculation efficiency and prediction precision, can further derive a magnetic
resonance coil
peripheral nerve stimulation threshold curve for real-time evaluation of stimulation risks in imaging scanning, and can also introduce a coil
design framework to realize electromagnetic optimization design of a high-threshold gradient coil.