基于永磁体和线圈复合结构的磁性粒子成像零磁场研究

doi:10.19595/j.cnki.1000-6753.tces.232203

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Abstract In the magnetic particle imaging (MPI) process, due to different topologies of the selection field and the driving field, significant differences exist in the zero magnetic field region, which has a key influence on the MPI imaging effect. This paper proposes an MPI topology based on the permanent magnet and coil composite structure for large aperture, low power consumption, and high resolution. The feasibility of its application in 3D imaging is verified.
The selection magnetic field structure of the MPI device is designed based on the Maxwell configuration. When the excitation current is symmetric, the field-free line (FFL) is distributed along the z-axis; otherwise, the FFL is translated along the x-axis. The driving coil set is designed based on the Helmholtz structure. When the AC excitation signal is input, the driving magnetic field is superimposed with the selection magnetic field, and the FFL is driven to scan along a certain plane perpendicular to the x-axis. Secondly, COMSOL simulation software simulates the magnetic field generated by the composite device, and the effects of current excitation, magnet material, and spatial position on the magnetic field are calculated to determine the maximum scanning range and trajectory of the FFL. Finally, the effects of magnetic field gradient and particle size on the image reconstruction results are analyzed. In the layered scanning simulation, due to the small inter-layer distance, the coupling of signals between adjacent layers is considered in the image reconstruction.
The simulation results show that the structure produces a linear magnetic field gradient of 3.075 T/m and 3.064 T/m in the x and y directions. The scanning area of the magnetic field reaches 30 mm×70 mm×70 mm, and the magnetic field uniformity in the scanning area reaches more than 98.7%. MPI simulation and reconstruction using 3 T/m, 2 T/m, and 1 T/m magnetic field gradients show a positive correlation between the gradient and the imaging quality. Finally, the 3D vascular model is imaged by layers. The minimum structural similarity (SSIM) value of the vascular model data index of each layer is 0.939 5, and the maximum root mean square error (RMSE) value is 0.039 6.
The following conclusions can be drawn. (1) The magnetic field generated by the proposed topology has good uniformity, and the scanning trajectory of FFL can be kept in the same plane. The proposed topology can realize hierarchical scanning compared to the traditional electromagnetic coil structure. (2) The image reconstruction results show that the designed magnetic field realizes multi-layer two-dimensional imaging in space, and the maximum resolution reaches 1 mm. A higher magnetic field gradient is more conducive to improving MPI imaging quality. (3) A 3D model is used for 2D layered scanning, and the influence of signal between adjacent layers is considered, which is helpful for MPI 3D imaging study.

Key words： Magnetic particle imaging permanent magnet and coil composite field-free line magnetic field gradient magnetic field uniformity

Received: 02 January 2024

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TM153

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	Yang Dan
	Liu Suyu
	Zhang Hao
	Li Tianzhao
	Xu Bin

Cite this article:

Yang Dan,Liu Suyu,Zhang Hao等. Research on Magnetic Particle Imaging Zero Magnetic Field Based on Permanent Magnet and Coil Composite Structure[J]. Transactions of China Electrotechnical Society, 2025, 40(2): 335-345.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.232203 OR https://dgjsxb.ces-transaction.com/EN/Y2025/V40/I2/335

[1] Irfan M, Mercan Dogan O, Dogan N, et al.Selection field generation using permanent magnets and electromagnets for a magnetic particle imaging scanner[J]. Alexandria Engineering Journal, 2022, 61(10): 7685-7696.
[2] McDonough C, Pagan J, Tonyushkin A. Implement- ation of the surface gradiometer receive coils for the improved detection limit and sensitivity in the single-sided MPI scanner[J]. Physics in Medicine & Biology, 2022, 67(24): 245009.
[3] Paes F M, Munera F.Computer tomography angiography of peripheral vascular injuries[J]. Radiol Clin North Am, 2023, 61(1): 141-150.
[4] 曲洪一, 刘鑫, 王晖, 等. 磁共振成像磁体无源匀场改进策略及实验研究[J]. 电工技术学报, 2022, 37(24): 6284-6293.
Qu Hongyi, Liu Xin, Wang Hui, et al.Improved strategy and experimental research on passive shimming in magnetic resonance imaging magnet[J]. Transactions of China Electrotechnical Society, 2022, 37(24): 6284-6293.
[5] 冯焕, 姜晖, 王雪梅. 功能磁共振成像在肿瘤学领域的应用[J]. 电工技术学报, 2021, 36(4): 705-716.
Feng Huan, Jiang Hui, Wang Xuemei.Application of functional magnetic resonance imaging in the field of oncology[J]. Transactions of China Electrotechnical Society, 2021, 36(4): 705-716.
[6] Lindberg A, Chassé M, Varlow C, et al.Strategies for designing novel positron emission tomography (PET) radiotracers to cross the blood-brain barrier[J]. Journal of Labelled Compounds and Radiopharma- ceuticals, 2023, 66(9): 205-221.
[7] Knopp T, Buzug T M.Magnetic particle imaging: an introduction to imaging principles and scanner instrumentation[M]. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
[8] Bulte J W M, Walczak P, Bernard S, et al. Developing cellular MPI: initial experience[M]. Magnetic Nanoparticles: Particle Science, Imaging Technology, and Clinical Applications, 2010: 201-204.
[9] Irfan M, Dogan N.Comprehensive evaluation of magnetic particle imaging (MPI) scanners for biomedical applications[J]. IEEE Access, 2022, 10: 86718-86732.
[10] Le T A, Hadadian Y, Yoon J.A prediction model for magnetic particle imaging-based magnetic hyperthermia applied to a brain tumor model[J]. Computer Methods and Programs in Biomedicine, 2023, 235: 107546.
[11] Weizenecker J, Gleich B, Borgert J. Magnetic particle imaging using a field free line[J]. Journal of Physics D: Applied Physics, 2008, 41(10): 105009-1-105009-3.
[12] Top C B, Ilbey S, Güven H E.Electronically rotated and translated field-free line generation for open bore magnetic particle imaging[J]. Medical Physics, 2017, 44(12): 6225-6238.
[13] 刘洋洋, 杜强, 柯丽, 等. 磁性粒子成像线型零磁场设计及性能分析[J]. 电工技术学报, 2020, 35(10): 2088-2097.
Liu Yangyang, Du Qiang, Ke Li, et al.Design and analysis of magnetic field-free line in magnetic particle imaging[J]. Transactions of China Electro- technical Society, 2020, 35(10): 2088-2097.
[14] 刘蓉晖, 刘锦坤, 章君达, 等. 基于双曲余切变换的Halbach阵列表贴式永磁电机转子偏心气隙磁场解析模型[J]. 电工技术学报, 2023, 38(6): 1433-1446.
Liu Ronghui, Liu Jinkun, Zhang Junda, et al.Analytical model for air-gap magnetic field in Halbach arrays surface-mounted permanent magnet motor with rotor eccentricity based on hyperbolic cotangent transformation[J]. Transactions of China Electrotechnical Society, 2023, 38(6): 1433-1446.
[15] 王紫叶, 杨猛, 熊奇. 电磁成形过程中线圈温升及结构优化[J]. 电工技术学报, 2021, 36(18): 3891-3901.
Wang Ziye, Yang Meng, Xiong Qi.Coil temperature rise and structure optimization in electromagnetic forming[J]. Transactions of China Electrotechnical Society, 2021, 36(18): 3891-3901.
[16] Weber M, Bente K, von Gladiß A, et al. MPI with a mechanically rotated FFL[C]//2015 5th International Workshop on Magnetic Particle Imaging (IWMPI), Istanbul, Turkey, 2015: 1.
[17] 姜策, 柯丽, 杜强, 等. 基于圆环磁体阵列的线型零磁场系统研究[J]. 仪器仪表学报, 2021, 41(9): 192-201.
Jiang Ce, Ke Li, Du Qiang, et al.Research on the magnetic field-free line system based on ring magnet array[J]. Chinese Journal of Scientific Instrument, 2021, 41(9): 192-201.
[18] Ergor M, Olamat A, Dogan N, et al.Nested Halbach arrays of rectangular, cylindrical, and polygonal magnets optimize the field-free line in magnetic particle imaging[J]. IEEE Magnetics Letters, 2021, 12: 7500505.
[19] Ergor M, Bingolbali A.Field-free line magnetic particle imaging magnet design using nested Halbach cylinders[J]. IEEE Magnetics Letters, 2022, 13: 7503304.
[20] 闫孝姮, 李政兴, 潘也, 等. 相同极性永磁体对感应式磁声磁粒子浓度成像过程影响的仿真[J]. 电工技术学报, 2022, 37(8): 1926-1937.
Yan Xiaoheng, Li Zhengxing, Pan Ye, et al.Simu- lation of the influence of permanent magnets of the same polarity on the magneto-acoustic concentration tomography of magnetic nanoparticles with magnetic induction process[J]. Transactions of China Electro- technical Society, 2022, 37(8): 1926-1937.
[21] McDonough C, Newey D, Tonyushkin A. 1-D imaging of a superparamagnetic iron oxide nanoparticle distribution by a single-sided FFL magnetic particle imaging scanner[J]. IEEE Transa- ctions on Magnetics, 2022, 58(8): 6501105.