Suskin, PhilipPhilipSuskinFörger, FynnFynnFörgerJürß, PaulPaulJürßBoberg, MarijaMarijaBobergKnopp, TobiasTobiasKnoppMöddel, MartinMartinMöddel2025-04-112025-04-112025-03-14International Journal on Magnetic Particle Imaging 11 (1, Suppl 1): 2503023 (2025)https://hdl.handle.net/11420/55324The scaling of electrical power constitutes a significant challenge when adapting Magnetic Particle Imaging (MPI) to a human scale. The use of coils incorporating soft-iron cores serves to reduce power usage, but also introduces spatial imperfections and non-linearities in the current-to-field relationship. This study proposes methodologies for the control of the magnetic field output of a system comprising 18 coils, subject to the influence of saturated iron. In particular, we integrate current sequence optimization with neural network-based predictions for field and gradient values, thereby enabling the precise and power-optimal generation of magnetic fields. The proposed framework for controlling non-linear magnetic field generators represents a significant advancement in MPI technology, paving the way for the development of human-scale, power-efficient medical imaging solutions.en2365-903320251, Suppl 1Infinite Science Publishinghttps://creativecommons.org/licenses/by/4.0/Technology::621: Applied Physics::621.3: Electrical Engineering, Electronic EngineeringComputer Science, Information and General Works::004: Computer SciencesNatural Sciences and Mathematics::530: PhysicsJournal Articlehttps://doi.org/10.15480/882.1506810.18416/IJMPI.2025.250302310.15480/882.15068Journal Article