Research on magneto-acoustic-electrical tomography method based on liquid metal contrast agent and M sequence coded excitation_Journal of Biomedical Engineering

Authors：

WANG Yuheng , LIN Junjie , MAI Wenshu , LIU Zhipeng , YIN Tao ,  ZHANG Shunqi

Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300000, P. R. China;

Corresponding author：

ZHANG Shunqi, Email: zhangshunqi2004@126.com

Keywords：

Magneto-acoustic-electric tomography; Liquid metal; Longest linear shift register sequence; Coded excitation

DOI：

10.7507/1001-5515.202207044

Video：

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Abstract Full text Figures/Tables Video References Cited by

Magneto-acoustic-electric tomography (MAET) boasts high resolution in ultrasound imaging and high contrast in electrical impedance imaging, making it of significant research value in the fields of early tumor diagnosis and bioelectrical monitoring. In this study, a method was proposed that combined high conductivity liquid metal and maximum length sequence (M sequence) coded excitation to improve the signal-to-noise ratio. It was shown that, under rotational scanning, the liquid metal significantly improved the signal-to-noise ratio of the inter-tissue magneto-acoustic-electric signal and enhanced the quality of the reconstructed image. The signal-to-noise ratio of the signal was increased by 5.6, 11.1, 21.7, and 45.7 times under the excitation of 7-, 15-, 31-, and 63-bit M sequence code, respectively. The total usage time of 31-bit M sequence coded excitation imaging was shortened by 75.6% compared with single-pulse excitation when the same signal-to-noise ratio was improved. In conclusion, the imaging method combining liquid metal and M-sequence coding excitation has positive significance for improving MAET image quality.

Citation： WANG Yuheng, LIN Junjie, MAI Wenshu, LIU Zhipeng, YIN Tao, ZHANG Shunqi. Research on magneto-acoustic-electrical tomography method based on liquid metal contrast agent and M sequence coded excitation. Journal of Biomedical Engineering, 2023, 40(4): 718-724, 735. doi: 10.7507/1001-5515.202207044 Copy

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1. Gabriel C, Gabriel S, Corthout Y E. The dielectric properties of biological tissues: I. Literature survey. Phys Med Biol, 1996, 41(11): 2231..
2. Surowiec A J, Stuchly S S, Barr J R, et al. Dielectric properties of breast carcinoma and the surrounding tissues. IEEE Trans Biomed Eng, 1988, 35(4): 257-263..
3. Haemmerich D, Schutt D J, Wright A S, et al. Electrical conductivity measurement of excised human metastatic liver tumours before and after thermal ablation. Physiol Meas, 2009, 30(5): 459-466..
4. Adler A, Arnold J H, Bayford R, et al. GREIT: a unified approach to 2D linear EIT reconstruction of lung images. Physiol Meas, 2009, 30(6): S35..
5. Aldrich J E. Basic physics of ultrasound imaging. Crit Care Med, 2007, 35(5): S131-S137..
6. Towe B C, Islam M R. A magneto-acoustic method for the noninvasive measurement of bioelectric currents. IEEE Trans Biomed Eng, 1988, 35(10): 892-894..
7. Li X, Xu Y, He B. Imaging electrical impedance from acoustic measurements by means of magnetoacoustic tomography with magnetic induction (MAT-MI). IEEE Trans Biomed Eng, 2007, 54(2): 323-330..
8. Xu Y, He B. Magnetoacoustic tomography with magnetic induction (MAT-MI). Phys Med Biol, 2005, 50(21): 5175..
9. Li Y, Liu G, Xia H, et al. Numerical simulations and experimental study of magneto-acousto-electrical tomography with plane transducer. IEEE Trans Magn, 2017, 54(3): 1-4..
10. Yu K, Shao Q, Ashkenazi S, 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 Trans Med Img, 2016, 35(10): 2301-2311..
11. Aliroteh M S, Scott G, Arbabian A. Frequency-modulated magneto-acoustic detection and imaging. Electron Lett, 2014, 50(11): 790-792..
12. Misaridis T, Jensen J A. Use of modulated excitation signals in medical ultrasound. Part III: High frame rate imaging. IEEE Trans Ultrason Ferroelectr Freq Control, 2005, 52(2): 208-219..
13. Jibiki T. Coded excitation medical ultrasound imaging. Igaku Butsuri, 2001, 21(3): 136-141..
14. Dai M, Chen X, Sun T, et al. A 2D Magneto-Acousto-Electrical Tomography method to detect conductivity variation using multifocus image method. Sensors, 2018, 18(7): 2373..
15. Sun Z, Liu G, Xia H, et al. Lorentz force electrical-impedance tomography using linearly frequency-modulated ultrasound pulse. IEEE Trans Ultrason Ferroelectr Freq Control, 2017, 65(2): 168-177..
16. Yu Z-F, Zhou Y, Li Y-Z, et al. Performance improvement of magneto-acousto-electrical tomography for biological tissues with sinusoid-Barker coded excitation. Chin Phys B, 2018, 27(9): 094302..
17. Hu G, He B. Magnetoacoustic imaging of magnetic iron oxide nanoparticles embedded in biological tissues with microsecond magnetic stimulation. Appl Phys Lett, 2012, 100(1): 013704..
18. Guo G, Gao Y, Li Y, et al. Second harmonic magnetoacoustic responses of magnetic nanoparticles in magnetoacoustic tomography with magnetic induction. Chin Phys B, 2020, 29(3): 034302..
19. Che L, Yao H, Yang C-L, et al. Cyclooxygenase-2 modulates ER-mitochondria crosstalk to mediate superparamagnetic iron oxide nanoparticles induced hepatotoxicity: an in vitro and in vivo study. Nanotoxicology, 2020, 14(2): 162-180..
20. Wang Q, Yu Y, Pan K, et al. Liquid metal angiography for mega contrast X-ray visualization of vascular network in reconstructing in-vitro organ anatomy. IEEE Trans Biomed Eng, 2014, 61(7): 2161-2166..
21. Liu J, Yi L. Liquid metal image contrast agent in angiography// Liquid metal biomaterials. Singapore: Springer, 2018: 117-129..
22. Zhao X, Liu G, Li Y, et al. Magnetoacoustic signal analysis of bio-tissue containing liquid metal. J Phys D, 2019, 53(6): 065401..
23. Zhang S, Zhou X, Liu S, et al. Research on barker coded excitation method for magneto-acoustic imaging. Biomed Signal Process Control, 2018, 39: 169-176..
24. Kunyansky L, Ingram C, Witte R. Rotational magneto-acousto-electric tomography (MAET): Theory and experimental validation. Phys Med Biol, 2017, 62(8): 3025..
25. Zhou Y, Ma Q, Guo G, et al. Magneto-acousto-electrical measurement based electrical conductivity reconstruction for tissues. IEEE Trans Biomed Eng, 2017, 65(5): 1086-1094..
26. Sun X, Yuan B, Sheng L, et al. Liquid metal enabled injectable biomedical technologies and applications. Appl Mater Today, 2020, 20: 100722..
27. Zhang S, Ma R, Yin T, et al. M-sequence-coded excitation for magneto-acoustic imaging. Med Biol Eng Comput, 2019, 57(5): 1059-1067..
28. Liu H, Yu Y, Wang W, et al. Novel contrast media based on the liquid metal gallium for in vivo digestive tract radiography: a feasibility study. Biometals, 2019, 32(5): 795-801..
29. Liu T, Wang S, Zhao W, et al. Experimental analysis of the utility of liquid metal gallium as a contrast agent for CT hepatic artery angiography in living rabbits. Research Square, 2020. DOI: 10.21203/rs.3.rs-135998/v1..
30. Tufail Y, Matyushov A, Baldwin N, et al. Transcranial pulsed ultrasound stimulates intact brain circuits. Neuron, 2010, 66(5): 681-694..

Journal of Biomedical Engineering

Research on magneto-acoustic-electrical tomography method based on liquid metal contrast agent and M sequence coded excitation

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