AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (519.1 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Special Issue Paper | Open Access

A Review on the Coupled Method of Using the Magnetic and Acoustic Fields for Biological Tissue Imaging

Yuanyuan Li1,2Guoqiang Liu1,2,3( )
Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
Institute of Electrical Engineering and Advanced Electromagnetic Drive Technology, Qilu Zhongke, Jinan 250102, China
School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
Show Author Information

Graphical Abstract

Magnetic field and acoustic field coupled imaging methods mainly include magnetoacoustic tomography, magneto-acousto-electrical tomography, and thermoacoustic tomography, all of which non-invasively achieve the electrical conductivity imaging of tissues with a resolution of up to the millimeter scale. The principles of these three imaging methods and the research progress in the last two decades are reviewed. First, the principles of the three magnetic and acoustic field coupled methods are individually introduced. The progress in medical electromagnetic imaging is further elaborated, and finally the future directions and summary of the coupled imaging methods are summarized.

Abstract

Magnetic field and acoustic field coupled imaging methods mainly include magnetoacoustic tomography, magneto-acousto-electrical tomography, and thermoacoustic tomography, all of which non-invasively achieve the electrical conductivity imaging of tissues with a resolution of up to the millimeter scale. The principles of these three imaging methods and the research progress in the last two decades are reviewed. First, the principles of the three magnetic and acoustic field coupled methods are individually introduced. The progress in medical electromagnetic imaging is further elaborated, and finally the future directions and summary of the coupled imaging methods are summarized.

References

[1]

W T Joines, Y Zhang, C Li, et al. The measured electrical properties of normal and malignant human tissues from 50 to 900 MHz. Physics in Medicine and Biology, 1994, 21(4): 547-550.

[2]

Y Song,J K Seo,M Chauhan, et al. Accelerating acquisition strategies for low-frequency conductivity imaging using MREIT. Physics in Medicine and Biology, 2018, 63(4): 045011.

[3]

Y Xu, B He. Magnetoacoustic tomography with magnetic induction (MAT-MI). Physics in Medicine and Biology, 2005, 50(21): 5175-5187.

[4]

W Zhang, R Ma, S Zhang, et al. Image reconstruction in magnetoacoustic tomography with magnetic induction (MAT-MI) with variable sound speeds. IEEE Transactions on Biomedical Engineering, 2016, 63(12): 2585-2594.

[5]

S Zhang, W Li, X Zhang, et al. Reconstruction of acoustic inhomogeneous property in magnetoacoustic tomography with magnetic induction. International Journal of Applied Electromagnetics and Mechanics, 2018, 56(1): 131-140.

[6]

L Wang, G Liu, S Chen, et al. Novel reconstruction algorithm of magnetoacoustic tomography based on ring transducer array for acoustic speed inhomogeneous tissues. Medical Physics, 2020, 47(8): 3533-3544.

[7]

H Amman, L Qiu, F Santosa, et al. Determining anisotropic conductivity using diffusion tensor imaging data in magneto-acoustic tomography with magnetic induction. Inverse Problems, 2017, 33(12): 125006.

[8]

Z Yu, S Dai, Q Ma, et al. Conductivity anisotropy influence on acoustic sources for magnetoacoustic tomography with magnetic induction. IEEE Transactions on Biomedical Engineering, 2018, 65(11): 2512-2518.

[9]

Z Sun, P Chen. Reconstruction of conductivity image for endoscopic magnetoacoustic tomography with magnetic induction. Journal of Medical Imaging and Health Informatics, 2018, 8(7): 1468-1477.

[10]

Z Sun, Z Ma. Numerical simulation of endoscopic magnetoacoustic tomography with magnetic induction. Computers in Bilolgy and Medicine, 2017, 90: 1-14.

[11]

A R Zywica, M Ziolkowski, S Gratkowski. Detailed analytical approach to solve the magnetoacoustic tomography with magnetic induction (MAT-MI) problem for three-layer objects. Energies, 2020, 13(24): 6515.

[12]

G Guo, H Ding, S Dai, et al. Boundary normal pressure-based electrical conductivity reconstruction for magneto-acoustic tomography with magnetic induction. Chinese Physics B, 2017, 26(8): 084301.

[13]

R Ma, M Yang, S Zhang, et al. Analysis of the singular values for conductivity reconstruction in magneto-acoustic tomography with magnetic induction. IEEE Access, 2020, 8: 51753-51760.

[14]

Y Zhou, J Wang, X Sun, et al. Transducer selection and application in magnetoacoustic tomography with magnetic induction. Journal of Applied Physics, 2016, 119(9): 094903.

[15]

R Ma, X Zhou, S Zhang, et al. A 3D reconstruction algorithm for magneto-acoustic tomography with magnetic induction based on ultrasound transducer characteristics. Physics in Medicine and Biology, 2016, 61(24): 8762-8778.

[16]

S Wang, L He, M You, et al. Effects of tissue conductivity properties on acoustic source intensity for magnetoacoustic tomography with magnetic induction. Chinese Journal of Medical Physics, 2021, 38(7): 871-876.

[17]

M Leo, G Hu, B He. Magnetoacoustic tomography with magnetic induction for high-resolution bioimepedance imaging through vector source reconstruction under the static field of MRI magnet. American Association of Physicists in Medicine, 2014, 41(1): 022902.

[18]

K Yu, Q Shao, S Ashkenazi, et al. In vivo electrical conductivity contrast imaging in a mouse model of cancer using high-frequency magnetoacoustic tomography with magnetic induction (hfMAT-MI). IEEE Transactions on Medical Imaging, 2016, 35(10): 2301-2311.

[19]
Z Liu, T Yin, S Zhang, et al. The device of coupled magneto-acoustic tomography with current injection: China, CN201010585231.5. 2012-07-04.
[20]

G Liu, X Huang, H Xia, et al. Magnetoacoustic tomography with current injection. Chinese Science Bulletin, 2013, 58(30): 3600-3606.

[21]

H Xia, G Liu, X Huang, et al. The inverse problem study of plane model based on magneto-acoustic tomography with current injection. Transactions of China Electrotechnical Society, 2017, 32(4): 147-153.

[22]

Y Li, G Liu, H Xia, et al. New method for 3D transient eddy current field calculation and its application in magneto-acoustic tomography. Chinese Physics Letters, 2017, 34(11): 79-83.

[23]

X Zhao, G Liu, X Yan, et al. The influence on acoustic frequency characteristics of conductivity gradual-varying tissue in magnetoacoustic tomography (MAT). Computers in Biology and Medicine, 2019, 104(1): 105-110.

[24]
M S Aliroteh, G C Scott, A Arbabian. Frequency-modulated magneto-acoustic detection and imaging: Challenges, experimental procedures, and B-scan images. arXiv preprint arXiv: 160206931, 2016, 1(1): 1-9.
[25]

S Zhang, T Yin, Z Liu. Research on coded excitation processing method for magneto-acoustic signal. Journal of Biomedical Engineering, 2017, 34(5): 653-659.

[26]

S Zhang, X Zhou, S Liu, et al. Research on barker coded excitation method for magneto-acoustic imaging. Biomedical Signal Processing and Control, 2018, 39: 169-176.

[27]

S Zhang, R Ma, T Yin, et al. M-sequence-coded excitation for magneto-acoustic imaging. Medical & Biological Engineering & Computing, 2019, 57(1): 1059-1067.

[28]

S Zhang, R Ma, X Zhou, et al. Research on processing methods to improve the signal-to-noise ratio of a magnetoacoustic signal. Biomedical Signal Processing and Control, 2020, 60(1): 101955.

[29]

S Zhang, X Zhou, T Yin, et al. Magneto-acoustic imaging by continuous-wave excitation. Medical & Biological Engineering & Computing, 2017, 55(4): 595-607.

[30]

S Zhang, R Ma, X Zhou, et al. A preliminary in vivo study of a method for measuring magneto-acoustic sonic source under electrical stimulation. Technology and Health Care, 2020, 28(1): 421-432.

[31]

S Zhang, R Ma, T Yin, et al. Research on the time-frequency characteristics of the magneto-acoustic signal in media of different thicknesses based on the wave summing method. Journal of Medical Imaging and Health Informatics, 2017, 7(2): 453-459.

[32]

N Polydorides. Finite element modelling and image reconstruction for Lorentz force electrical impedance tomography. Physiological Measurement, 2018, 39(4): 044003.

[33]

W Han, S Jatin, S B Robert. Hall effect imaging. IEEE Transactions on Biomedical Engineering, 1998, 45(1): 119-124.

[34]

S Haider, A Hrbek, Y Xu. Magneto-acousto-electrical tomography: A potential method for imaging current density and electrical impedance. Physiological Measurement, 2008, 29(6): 41-50.

[35]

L Guo, G Liu, H Xia, et al. Conductivity reconstruction algorithms and numerical simulations for magneto-acousto-electrical tomography with piston transducer in scan mode. Chinese Physics B, 2014, 23(10): 104303.

[36]

L Guo, G Liu, Y Yang, et al. Vector based reconstruction method in magneto-acousto-electrical tomography with magnetic induction. Chinese Physics Letters, 2015, 32(9): 094301.

[37]

R Zengin, N G Gençer. Lorentz force electrical impedance tomography using magnetic field measurements. Physics in Medicine and Biology, 2016, 61(16): 5887.

[38]

G M Soner, R Zengin, N G Genf'er. Numerical implementation of magneto-acousto-electrical tomography (MAET) using a linear phased array transducer. Physics in Medicine and Biology, 2018, 63(3): 035012.

[39]

Y Li, J Song, H Xia, et al. Three-dimensional model of conductivity imaging for magneto-acousto-electrical tomography. Journal of Applied Physics, 2020, 127(10): 104701.

[40]

Y Li, J Song, H Xia, et al. The experimental study of mouse liver in magneto-acousto-electrical tomography by scan mode. Physics in Medicine and Biology, 2020, 65(21): 215024.

[41]

Y Li, G Liu, Z Sun, et al. Magneto-acousto-electrical tomography for high resolution electrical conductivity contrast imaging. Journal of Medical Imaging and Health Informatics, 2018, 8(7): 1402-1407.

[42]

C Li, S Wu, S Bu, et al. Simulation method of magneto-acousto-electrical tomography for improving computational efficiency. Journal of Applied Physics, 2021, 130(14): 145105.

[43]

G Pol, D François, M Jean-Martial, et al. Acousto-electrical speckle pattern in Lorentz force electrical impedance tomography. Physics in Medicine and Biology, 2015, 60(9): 3747-3757.

[44]

Y Li, G Liu, H Xia, et al. Numerical simulations and experimental study of magneto-acousto-electrical tomography with plane transducer. IEEE Transactions on Magnetics, 2017, 54(3): 1-4.

[45]

Z Sun, G Liu, H Xia. Lorentz force electrical impedance tomography using pulse compression technique. Chinese Physics B, 2017, 26(12): 124302.

[46]

Z Sun, G Liu, H Xia, et al. Lorentz force electrical-impedance tomography using linearly frequency-modulated ultrasound pulse. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2018, 65(2): 168-177.

[47]

Y Zhou, Q Ma, G Guo, et al. Magneto-acousto-electrical measurement based electrical conductivity reconstruction for tissues. IEEE Transactions on Biomedical Engineering, 2017, 65(5): 1086-1094.

[48]

Z Yu, Y Zhou, Y Li, et al. Performance improvement of magneto-acousto-electrical tomography for biological tissues with sinusoid-Barker coded excitation. Chinese Physics B, 2018, 27(9): 094302.

[49]

M Dai, X Chen, M Chen, et al. A novel method to detect interface of conductivity changes in magneto-acousto-electrical tomography using chirp signal excitation method. IEEE Access, 2018, 6: 33503-33512.

[50]

M Dai, X Chen, T Sun, et al. A 2D magneto-acousto-electrical tomography method to detect conductivity variation using multifocus image method. Sensors, 2018, 18(7): 2373.

[51]

M Dai, T Sun, X Chen, et al. A B-scan imaging method of conductivity variation detection for magneto-acousto-electrical tomography. IEEE Access, 2019, 7: 26881-26891.

[52]

M Dai, J Xu, T Sun, et al. Research on factors affecting the imaging resolution of magneto-acousto-electrical tomography. IEEE Access, 2020, 8: 203457-203467.

[53]

T Sun, X Zeng, P Hao, et al. Optimization of multi-angle magneto-acousto-electrical tomography (MAET) based on a numerical method. Mathematical Biosciences and Engineering, 2020, 17(4): 2864.

[54]

T Sun, P Hao, C T Chin, et al. Rapid rotational magneto-acousto-electrical tomography with filtered back-projection algorithm based on plane waves. Physics in Medicine and Biology, 2021 66(9): 095002.

[55]

D Deng, T Sun, L Yu, et al. Image quality improvement of magneto-acousto-electrical tomography with Barker coded excitation. Biomedical Signal Processing and Control, 2022, 77: 103823.

[56]

Y Li, S Bu, X Han, et al. Magneto-acousto-electrical tomography with nonuniform static magnetic field. IEEE Transactions on Instrumentation and Measurement, 2023: 1-12.

[57]

C Li, Y Li, G Liu. Simulation of lung tissue imaging based on magneto-acousto-electrical technology. Transactions of China Electrotechnical Society, 2021, 36(4): 732-737.

[58]

G Ding, H Xia, G Liu, et al. Magneto-acousto-electrical NDT based on photoacoustic transducer using carbon nanotubes composite thin film. Transactions of China Electrotechnical Society, 2019, 34(13): 2709-2715.

[59]

B Shen, L Fu, J Geng, et al. Design and simulation of superconducting Lorentz force electrical impedance tomography (LFEIT). Physica C: Superconductivity and its Applications, 2016, 524: 5-12.

[60]

X Feng, F Gao, K Rahul, et al. Coexisting and mixing phenomena of thermoacoustic and magnetoacoustic waves in water. Scientific Reports, 2015, 5: 11489.

[61]

X Zhou, R Ma, W Zhang, et al. Experimental study of the thermoacoustic effect in magnetoacoustic tomography. AIP Advances, 2016, 6(9): 095008.

[62]

X Zhou, S Liu, X Zhang, et al. Influence of thermoacoustic effect for frequency of magnetoacoustic signals. Chinese Medical Equipment Journal, 2018, 39(1): 41-45.

[63]

Y Yang, G Liu, Z Xia. Simulation research on magnetoacoustic effect and thermoacoustic effect of pulsed magnetic excitation. Journal of Biomedical Engineering, 2017, 34(1): 21-26.

[64]

Y Li, G Liu, Y Yang, et al. Research on thermoacoustic imaging with current injection. Modern Scientific Instruments, 2017, 8(2): 7-11.

[65]

Y Li, G Liu, J Song, et al. Thermo-acoustic imaging based on heat absorption distribution. Scientia Sinica Technologica, 2019, 49(6): 641-651.

[66]

Y Li, G Liu, J Song, et al. Imaging method and experimental research on thermoacoustic imaging with current injection. High Voltage Engineering, 2020, 46(12): 4113-4119.

[67]

M Yang, R Ma, S Zhang, et al. Study on thermo-acoustic effect in magneto-acoustic tomography with magnetic induction. Chinese Journal of Biomedical Engineering, 2020, 39(3): 295-302.

[68]

L Guo, S Li, X Wang, et al. The study on the inverse problem of applied current thermoacoustic imaging based on generative adversarial network. Scientific Report, 2021, 11(1): 22947.

[69]

H Liu, Y Li, G Liu. Thermoacoustic tomography from magnetic nanoparticles by single-pulse magnetic field. Medical Physics, 2022, 49(1): 521-531.

[70]

H Liu, Y Li, G Liu. System matrix reconstruction algorithm for thermoacoustic imaging with magnetic nanoparticles based on acoustic reciprocity theorem. IEEE Transactions on Biomedical Engineering, 2022: 1-9. DOI: 10.1109/TBME.2022.3225451.

[71]

X Zhao, G Liu, Y Li, et al. Magnetoacoustic signal analysis of bio-tissue containing liquid metal. Journal of Physics D-Applied Physics, 2021, 53(6): 065401.

[72]

X Zhao, G Liu, H Xia, et al. Magnetoacoustic position imaging for liquid metal in animal interstitial structure. Chinese Physics B, 2020, 29(5): 054305.

[73]

C Lu, A Yang, F Xia, et al. Liquid metal injected from interstitial channels for inhibiting subcutaneous hepatoma growth and improving MRI/MAT image contrast. Frontiers in Oncology, 2022, 12. DOI: 10.3389/fonc.2022.1019592.

Chinese Journal of Electrical Engineering
Pages 47-60
Cite this article:
Li Y, Liu G. A Review on the Coupled Method of Using the Magnetic and Acoustic Fields for Biological Tissue Imaging. Chinese Journal of Electrical Engineering, 2023, 9(1): 47-60. https://doi.org/10.23919/CJEE.2023.000014

467

Views

24

Downloads

1

Crossref

1

Scopus

0

CSCD

Altmetrics

Received: 16 November 2022
Revised: 18 January 2023
Accepted: 14 February 2023
Published: 31 March 2023
© 2023 China Machinery Industry Information Institute
Return