Vol. 104

Front:[PDF file] Back:[PDF file]
Latest Volume
All Volumes
All Issues
2021-09-24

Simulation Research on Forward Problem of Magnetoacoustic Concentration Tomograghy of Magnetic Nanoparticles with Magnetic Induction Based on Multi-Coils

By Xiaoheng Yan, Peng Gao, Mingchen Cai, and Zhengxing Li
Progress In Electromagnetics Research M, Vol. 104, 223-233, 2021
doi:10.2528/PIERM21053104

Abstract

Magnetoacoustic concentration tomograghy of magnetic nanoparticles (MNPs) with magnetic induction (MACT-MI) is a multi-physics field imaging method based on the coupling effect of magnetic field and acoustic field. In order to generate a gradient magnetic field with higher uniformity by using lower current excitation, this paper takes the magnetic field gradient of 0.3 T/m as the design objective and utilizes the Beetle Antennae Search Algorithm to optimize the parameters of the excitation current of multiple coils. The uniformity of gradient magnetic field generated by four typical six-coils structures with different radii and distances was compared with that generated by the Maxwell coil, and then the optimal structure of six-coils was determined. By using the finite element method, the physical process of MACT-MI was numerically solved according to the optimization results, and we obtained the one-dimensional and two-dimensional distribution images of magnetic force and sound pressure. The results show that compared with the Maxwell coil, the multi-coil structure can effectively reduce the current excitation and provide a higher uniform gradient magnetic field, which makes the magnetic force of MNPs more uniform and promotes the complete reconstruction of the sound source. These research results can provide research ideas for the optimization of MACT-MI system and lay a foundation for subsequent experiments and even clinical practice.

Citation


Xiaoheng Yan, Peng Gao, Mingchen Cai, and Zhengxing Li, "Simulation Research on Forward Problem of Magnetoacoustic Concentration Tomograghy of Magnetic Nanoparticles with Magnetic Induction Based on Multi-Coils," Progress In Electromagnetics Research M, Vol. 104, 223-233, 2021.
doi:10.2528/PIERM21053104
http://www.jpier.org/PIERM/pier.php?paper=21053104

References


    1. Guo, Y. and X. Fan, "Ultrasound molecular imaging: Present situation and future," Journal of the Third Military Medical University, Vol. 36, No. 1, 6-10, 2014.

    2. Pysz, M. A., S. S. Gambhir, and J. K. Willmann, "Molecular imaging: Current status and emerging strategies," Clinical Radiology, Vol. 65, No. 7-516, 2010.
    doi:10.1016/j.crad.2010.03.011

    3. Chu, C. C. and G. Liu, "Hot spots and challenges of magnetic nanomolecular imaging probe," Science & Technology Review, Vol. 36, No. 22, 89-97, 2018.

    4. Oh, J., et al., "Detection of magnetic nanoparticles in tissue using magneto-motive ultrasound," Nanotechnology, Vol. 17, No. 16, 4183-4190, 2006.
    doi:10.1088/0957-4484/17/16/031

    5. Mehrmohammadi, M., et al., "Pulsed magneto-motive ultrasound imaging using ultrasmall magnetic nanoprobes," Molecular Imaging, Vol. 10, No. 2, 2011.
    doi:10.2310/7290.2010.00037

    6. Hu, G. and B. He, "Magnetoacoustic imaging of magnetic iron oxide nanoparticles embedded in biological tissues with microsecond magnetic stimulation," Applied Physics Letters, Vol. 100, No. 1, 484, 2012.
    doi:10.1063/1.3675457

    7. Bringout, G. and T. M. Buzug, "Coil design for magnetic particle imaging: Application for a preclinical scanner," IEEE Transactions on Magnetics, Vol. 51, No. 2, 1-8, 2015.

    8. Yan, X.-H., Y. Zhang, and G.-Q. Liu, "Simulation research on effect of magnetic nanoparticles on physical process of magneto-acoustic tomography with magnetic induction," Chinese Physics B, Vol. 27, No. 10, 104302, 2018.
    doi:10.1088/1674-1056/27/10/104302

    9. Hamanaga, S., et al., "Three-dimensional detection of magnetic nanoparticles using a field-free line with weak field gradient and multiple pickup coils," Japanese Journal of Applied Physics, Vol. 58, No. 6, 061001.1-061001.6, 2019.
    doi:10.7567/1347-4065/ab1950

    10. Shi, X., et al., "Simulation research on magneto-acoustic concentration tomography of magnetic nanoparticles with magnetic induction," Computers in Biology and Medicine, Vol. 119, 103653, 2020.
    doi:10.1016/j.compbiomed.2020.103653

    11. Yan, X., et al., "Implementation method for magneto-acoustic concentration tomography with magnetic induction (MACT-MI) based on the method of moments," Computers in Biology and Medicine, Vol. 128, 104105, 2021.
    doi:10.1016/j.compbiomed.2020.104105

    12. Sun, X., D. Hao, and D. Peng, "Analysis of magnetic field and magnetic gradient of Maxwell coil," Magnetic Materials and Devices, Vol. 51, No. 2, 16-19, 2020.

    13. Mihailescu, B., M. N. Velcea, and I. Plotog, "Comparative assessment of maxwell and Helmholtz coils magnetic field for biotechnological applications," IEEE International Symposium for Design and Technology in Electronic Packaging, SIITME 2015, IEEE, 2015.

    14. Wang, J. and H. Zhou, "Design method of permanent magnet MRI gradient coils," Chinese Journal of Medical Devices, Vol. 33, No. 3, 188-192, 2009.

    15. Jin, D., D. F. Cheng, and Y. Z. Wang, "Design of a magnetic gradient coil with high uniformity," Applied Mechanics & Materials, Vol. 556-562, 1865-1869, 2014.
    doi:10.4028/www.scientific.net/AMM.556-562.1865

    16. Song, X. C., "Comparison of magnetic field distribution and uniformity of helmholtz coils and Maxwell coils," Magnetic Materials and Devices, Vol. 47, No. 5, 16-18+77, 2016.

    17. Jiang, X. and S. Li, "BAS: Beetle antennae search algorithm for optimization problems," International Journal of Robotics and Control, Vol. 1, No. 1, 2017.

    18. Jiang, X. and S. Li, "Beetle Antennae Search without Parameter Tuning (BAS-WPT) for multi-objective optimization,", 2017.

    19. Wang, Q., S. Wei, Z. Wang, and W. Yang, "Optimization design of matrix gradient coil based on particle swarm optimization and genetic algorithm," Journal of Spectrum, Vol. 36, No. 4, 463-471, 2019.

    20. Bellizzi, G., O. M. Bucci, and I. Catapano, "Microwave cancer imaging exploiting magnetic nanoparticles as contrast agent," IEEE Transactions on Bio-medical Engineering, Vol. 58, No. 9, 2528, 2011.
    doi:10.1109/TBME.2011.2158544

    21. Bevacqua, M. T. and R. Scapaticci, "A compressive sensing approach for 3D breast cancer microwave imaging with magnetic nanoparticles as contrast agent," IEEE Transactions on Medical Imaging, Vol. 35, No. 2, 665, 2016.
    doi:10.1109/TMI.2015.2490340

    22. Song, J., et al., "Evaluation of contrast enhancement by carbon nanotubes for microwave-induced thermoacoustic tomography," IEEE Transactions on Biomedical Engineering, Vol. 62, No. 3, 930-938, 2015.
    doi:10.1109/TBME.2014.2373397

    23. Yan, X., et al., "Simulation research on the forward problem of magnetoacoustic concentration tomography for magnetic nanoparticles with magnetic induction in a saturation magnetization state," Journal of Physics D: Applied Physics, Vol. 54, No. 7, 075002 (10pp), 2021.
    doi:10.1088/1361-6463/abc27c