International Journal on Magnetic Particle Imaging IJMPI
Vol. 9 No. 1 Suppl 1 (2023): Int J Mag Part Imag

Proceedings Articles

Multi-dimensional Debye model for nanoparticle magnetization in magnetic particle imaging

Main Article Content

yimeng li (Beihang University), Peng Zhang , Xin Feng , Hui Hui , Jie Tian 


Magnetic particle imaging (MPI) is a new medical modality to safely and sensitively image the concentration distribution of superparamagnetic iron-oxide nanoparticle (SPIO). It relies on the nonlinear magnetization response of SPIO under time-varying magnetic field to induce output voltage signal. When the multidimensional magnetic fields are applied in MPI, the commonly used first-order Debye model decreases accuracy in modeling the magnetization of SPIO. To solve this problem, we propose a high-order Debye model, which considers the contribution of each dimensional magnetic field on the magnetization of SPIO. Through various experiments, the proposed high-order Debye model shows superiority over the first-order Debye model, with 30% lower root-mean-square error in modeling the magnetization. Using the high-order Debye model, the influence of different magnetic fields on the SPIO can be accurately analyzed, and this model can further provide guidance for MPI instrument optimization.

Article Details


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