Abstract Magnetoacoustic concentration tomography of magnetic nanoparticles (MNPs) with magnetic induction (MACT-MI) is a new method for MNPs concentration tomography. To reduce the amplitude of the excitation current source and produce a more stable magnetoacoustic signal, MACT-MI system based on matrix coils was studied. Optimal design of matrix coils used the artificial fish swarm algorithm based on beetle antennae search algorithm (BAS-AFSA). According to the optimization results the physical process of MACT-MI was solved by using COMSOL and then the results were compared with the results of Maxwell coils. A concentration gradient model was also constructed based on the distribution of MNPs in the actual biological tissue environment, and both the magnetic force and sound pressure distribution in the region of interest (ROI) were obtained. The results show that the matrix coils designed in this paper can produce a more stable sound pressure signal and a more uniformly distributed gradient magnetic field with equal size under a smaller excitation. According to the constructed concentration gradient model, both the magnetic force and the width of the sound pressure wave of MNPs are proportional to the width of the gradient region, and the peak value of sound pressure is proportional to the concentration gradient in the gradient region. The results provide a prospective basis for the design of imaging equipment, the follow-up experiments and clinical applications of MACT-MI.
Fund:This work is partially supported by the Natural Science Foundation of Liaoning Province (2019-ZD-0039) and the Basic Scientific Research Project of Liaoning Education Department (LJ2020JCL003).
Corresponding Authors:
Li Zhengxing, born in 1997, postgraduate, research interests include electromagnetic detection and imaging.E-mail: lizhengxing@163.com
About author:: Yan Xiaoheng, born in 1984, PhD, associate professor, research interests include electromagnetic detection and imaging.E-mail: xiaohengyan@163.com
Yan Xiaoheng,Li Zhengxing,Sun Di等. Magnetoacoustic Concentration Tomography of Magnetic Nanoparticles with Magnetic Induction Based on Matrix Coil[J]. Transactions of China Electrotechnical Society, 2022, 37(17): 4269-4283.
[1] Shi Xiaoyu, Liu Guoqiang, Yan Xiaoheng, et al.Simulation research on magneto-acoustic concentration tomography of magnetic nanoparticles with magnetic induction[J]. Computers in Biology and Medicine, 2020, 119(9): 103653. [2] He Hongyan, Wei Shufeng, Wang Huixian, et al.Matrix gradient coil: current research status and perspectives[J]. Chinese Journal of Magnetic Resonance, 2021, 38(1): 140-153. [3] Juchem C, Nixon T W, McIntyre S, et al. Magnetic field modeling with a set of individual localized coils[J]. Journal of Magnetic Resonance, 2010, 204(2): 281-289. [4] Juchem C, Nixon T W, McIntyre S, et al. Dynamic multi-coil shimming of the human brain at 7 T[J]. Journal of Magnetic Resonance, 2011, 212(2): 280-288. [5] While P T, Korvink J G.Designing MR shim arrays with irregular coil geometry: theoretical considerations[J]. IEEE Transactions on Bio-Medical Engineering, 2014, 61(6): 1614-1620. [6] Jia Feng, Schultz G, Testud F, et al.Performance evaluation of matrix gradient coils[J]. Magnetic Resonance Materials in Physics, Biology and Medicine, 2016, 29(1): 59-73. [7] Xu Yajie, Yu Peng, Wu Zhenzhou, et al.Matrix coil (mc) active shimming research in halbach array magnet[C]//the 20th China Molecular Spectroscopy Annual Conferenc Abstract Collectione, Wenzhou, China, 2018: 326-327. [8] Wang Qiang, Wei Shufeng, Wang Zheng, et al.Design of matrix gradient coils with particle swarm optimization and the genetic algorithm[J]. Chinese Journal of Magnetic Resonance, 2019, 36(4): 463-471. [9] Aghaeifar A, Zhou Jiazheng, Heule R, et al.A 32-channel multi-coil setup optimized for human brain shimming at 9.4T[J]. Magnetic Resonance in Medicine, 2020, 83(2): 749-764. [10] Yan Xiaoheng, Pan Ye, Chen Weihua, et al.Simulation research on the forward problem of magnetoacoustic concentration tomography for magnetic nanoparticles with magnetic induction in a saturation magnetization state[J]. Journal of Physics D: Applied Physics, 2021, 54(7): 075002. [11] Zu Wanni, Ke Li, Du Qiang, et al.Electronically rotated field-free line generation for open bore magnetic particle tomography imaging[J]. Transactions of China Electrotechnical Society, 2020, 35(19): 4161-4170. [12] Zhang Shuai, Li Zixiu, Zhang Xueying, et al.The simulation and experiment of magneto-motive ultrasound imaging based on time reversal method[J]. Transactions of China Electrotechnical Society, 2019, 34(16): 3303-3310. [13] Chen Weijie, Chen Jie, Sun Huijun, et al.Simulation and analysis of irregular multicoil B0 shimming in C-type permanent magnets using genetic algorithm and simulated annealing[J]. Applied Magnetic Resonance, 2019, 50(1): 227-242. [14] Zhou Lei, Dong Xueyu, Sun Fei.Economic dispatch of micro-grid based on improved artificial fish swarm algorithm[J]. Distribution & Utilization, 2019, 36(12): 62-68. [15] Kroboth S, Layton K J, Jia Feng, et al.Optimization of coil element configurations for a matrix gradient coil[J]. IEEE Transactions on Medical Imaging, 2018, 37(1): 284-292. [17] Zhao Yingge, Li Ying, Wang Lingyue, et al.The application of univariate dimension reduction method based on mean point expansion in the research of electrical impedance tomography uncertainty quantification[J]. Transactions of China Electrote-chnical Society,2021,36(18): 3776-3786. [18] Liu Jing, Liu Guoqiang.Electrical particles imaging method and numerical study on the forward problem[J]. Transactions of China Electrotechnical Society, 2020, 35(22): 4621-4626. [19] Li Xiaonan, Ren Wenting, Liu Guoqiang, et al.Preliminary conductivity reconstruction by high-resolution magnetic resonance electrical properties tomography for brain tumor diagnosis[J]. Transactions of China Electrotechnical Society, 2021, 36(18): 3860-3866. [20] Hu Gang, He Bin.Magnetoacoustic imaging of magnetic iron oxide nanoparticles embedded in biological tissues with microsecond magnetic stimulation[J]. Applied Physics Letters, 2012, 100(1): 013704. [21] Liu Guoqiang.Magnetoacoustic imaging technology[M]. Beijing: Science Press, 2014. [22] Sun C, Lee J S H, Zhang Miqin. Magnetic nanoparticles in MR imaging and drug delivery[J]. Advanced Drug Delivery Reviews, 2008, 60(11): 1252-1265.
2022, Vol. 37 
