International Journal on Magnetic Particle Imaging IJMPI
Vol. 10 No. 1 Suppl 1 (2024): Int J Mag Part Imag

Proceedings Articles

Fourier Neural Operator for Coupled Brown-Neel Rotation Model

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Muhammed Hasan Kayapinar (Bilkent University), Asli Alpman (University of California Berkeley), Emine Ulku Saritas (Bilkent University)


Modelling magnetization dynamics of magnetic nanoparticles (MNPs) is crucial to understand and predict their signal response in magnetic particle imaging (MPI). Coupled Brown-Ne?el rotation model expresses MNP magnetization as a system of ordinary differential equations (ODEs). However, numerical solution of these ODEs can be computationally intensive and time consuming using classical solvers. In this work, we propose a neural solver that utilizes a Fourier Neural Operator (FNO) to speed up the computation time for the coupled Brown-Ne?el rotation model. We show that the FNO model provides high signal fidelity with 5 orders of magnitude acceleration in computation time.

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