International Journal on Magnetic Particle Imaging IJMPI
Vol. 9 No. 1 Suppl 1 (2023): Int J Mag Part Imag
https://doi.org/10.18416/IJMPI.2023.2303009
Multi-dimensional Debye model for nanoparticle magnetization in magnetic particle imaging
Main Article Content
Copyright (c) 2023 yimeng li, Peng Zhang, Xin Feng, Hui Hui, Jie Tian
This work is licensed under a Creative Commons Attribution 4.0 International License.
Abstract
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.
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References
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[4] L. R. Croft, P. W. Goodwill, and S. M. Conolly. Relaxation in x-space magnetic particle imaging. IEEE transactions on medical imaging, 31(12):2335–2342, 2012.
[5] P. W. Goodwill and S. M. Conolly. Multidimensional x-space magnetic particle imaging. IEEE transactions on medical imaging, 30(9):1581–1590, 2011.
[6] T. Kluth, P. Szwargulski, and T. Knopp. Towards accurate modelingof the multidimensional magnetic particle imaging physics. New journal of physics, 21(10):103032, 2019.