A Fast and Accurate Transfer Function Validation Strategy Using Optimized Rotation-Invariant Lead Trajectories

Abstract

This article demonstrates a novel strategy to effectively and efficiently validate the lead transfer function model, which is used to predict the radiofrequency induced heating near the distal end of active implantable medical devices under magnetic resonance imaging exposure. The strategy uses the particle swarm optimization (PSO) algorithm to generate optimized rotation-invariant lead trajectories for arbitrary lead lengths in a rectangular phantom. The validation trajectories are generated by rotating a PSO optimized trajectory on a circular plate. The incident electric fields along these trajectories are minimally correlated resulting in very accurate validation. Compared with other validation trajectories used in the literature and recommended by ISO/TS 10974, the new method is significantly more robust, effective, accurate, and time efficient; and therefore, an ideal candidate for standardization.