volume | PIER Journals

Abstract

Magneto-acousto-electrical tomography (MAET) is an imaging method generating a source current under excitation of both static magnetic field and acoustic field, and electrodes are used to detect the electrical signal to further reconstruct conductivity image. Previous studies ignored the non-uniformity of magnetic field. However, the reconstructed image will introduce artifacts due to magnetic field inhomogeneity, which is small but cannot be neglected. We analyzed the characteristics of magneto-acousto-electrical signal under uniform and inhomogeneous magnetic fields in simulation. This paper deduces the relation of magneto-acoustic signal generated by inhomogeneous static magnetic field, and reconstructed conductivity image under non-uniform static magnetic field through synthetic aperture imaging. Furthermore, to verify the validity of the theory, an experimental platform was built to reconstruct the conductivity of phantom. In clinical applications, non-uniform static magnetic field can achieve a fully open magnetic field structure, which is much more friendly for inspection of patients with autism and even children. Permanent magnets that generate non-uniform static magnetic fields have the advantages of smaller size, lighter weight, and lower cost than magnets that generate uniform static magnetic field, which can effectively optimize equipment space.

1. Gabriel, Sami, R. W. Lau, and Camelia Gabriel, "The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz," Physics in Medicine & Biology, Vol. 41, No. 11, 2251, 1996.

2. Grasland-Mongrain, P. and C. Lafon, "Review on biomedical techniques for imaging electrical impedance," IRBM, Vol. 39, No. 4, 243-250, Aug. 2018.

3. Liu, Dong, Danny Smyl, and Jiangfeng Du, "Nonstationary shape estimation in electrical impedance tomography using a parametric level set-based extended kalman filter approach," IEEE Transactions on Instrumentation and Measurement, Vol. 69, No. 5, 1894-1907, May 2020.

4. Wen, Han, Jatin Shah, and Robert S. Balaban, "Hall effect imaging," IEEE Transactions on Biomedical Engineering, Vol. 45, No. 1, 119-124, 1998.

5. Zengin, Reyhan and Nevzat Güneri Gençer, "Lorentz force electrical impedance tomography using magnetic field measurements," Physics in Medicine & Biology, Vol. 61, No. 16, 5887, 2016.

6. Montalibet, Amalric, Jacques Jossinet, and Adrien Matias, "Scanning electric conductivity gradients with ultrasonically-induced lorentz force," Ultrasonic Imaging, Vol. 23, No. 2, 117-132, 2001.

7. Ammari, Habib, Pol Grasland-Mongrain, Pierre Millien, Laurent Seppecher, and Jin-Keun Seo, "A mathematical and numerical framework for ultrasonically-induced Lorentz force electrical impedance tomography," Journal de Mathématiques Pures et Appliquées, Vol. 103, No. 6, 1390-1409, 2015.

8. Xu, Y., S. Haider, and A. Hrbek, "Magneto-acousto-electrical tomography: A new imaging modality for electrical impedance," 13th International Conference on Electrical Bioimpedance and the 8th Conference on Electrical Impedance Tomography, 292-295, 2007.

9. Haider, Saja, A. Hrbek, and Yuan Xu, "Magneto-acousto-electrical tomography: A potential method for imaging current density and electrical impedance," Physiological Measurement, Vol. 29, No. 6, S41, 2008.

10. Renzhiglova, Elena, Vitaliy Ivantsiv, and Yuan Xu, "Difference frequency magneto-acousto-electrical tomography (DF-MAET): Application of ultrasound-induced radiation force to imaging electrical current density," IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 57, No. 11, 2391-2402, 2010.

11. Zeng, Xiaoping, Guoqing Liu, Hui Xia, and Xiaoyu Xu, "An acoustic characteristic study of magneto-acousto-electrical tomography," 2010 3rd International Conference on Biomedical Engineering and Informatics, Vol. 1, 95-98, 2010.

12. Guo, Liang, Guo-Qiang Liu, Hui Xia, Yu Liu, and Min-Hua Lu, "Conductivity reconstruction algorithms and numerical simulations for magneto-acousto-electrical tomography with piston transducer in scan mode," Chinese Physics B, Vol. 23, No. 10, 104303, 2014.

13. Guo, Liang, Guoqiang Liu, and Hui Xia, "Magneto-acousto-electrical tomography with magnetic induction for conductivity reconstruction," IEEE Transactions on Biomedical Engineering, Vol. 62, No. 9, 2114-2124, 2015.

14. Grasland-Mongrain, Pol, François Destrempes, Jean-Martial Mari, Rémi Souchon, Stefan Catheline, Jean-Yves Chapelon, Cyril Lafon, and Guy Cloutier, "Acousto-electrical speckle pattern in lorentz force electrical impedance tomography," Physics in Medicine & Biology, Vol. 60, No. 9, 3747, 2015.

15. Kunyansky, L., C. P. Ingram, and R. S. Witte, "Rotational magneto-acousto-electric tomography (MAET): Theory and experimental validation," Physics in Medicine & Biology, Vol. 62, No. 8, 3025, 2017.

16. He, Y., Theoretical and experimental research of inductive magneto-acoustic coupling imaging based on ultra-fast active detection technology, M.S. thesis, School of Biomedical Engineering, Shenzhen Univ., 2017.

17. Dai, Ming, Xin Chen, Tong Sun, Lingyao Yu, Mian Chen, Haoming Lin, and Siping Chen, "A 2D magneto-acousto-electrical tomography method to detect conductivity variation using multifocus image method," Sensors, Vol. 18, No. 7, 2373, 2018.

18. Kaboutari, Keivan, Ahmet Önder Tetik, Elyar Ghalichi, Mehmet Soner Gözü, Reyhan Zengin, and Nevzat Güneri Gençer, "Data acquisition system for MAET with magnetic field measurements," Physics in Medicine & Biology, Vol. 64, No. 11, 115016, 2019.

19. Sun, Tong, Penghui Hao, Chien Ting Chin, Dingqian Deng, Tiemei Chen, Yi Chen, Mian Chen, Haoming Lin, Minhua Lu, Yi Gao, Siping Chen, Chunqi Chang, and Xin Chen, "Rapid rotational magneto-acousto-electrical tomography with filtered back-projection algorithm based on plane waves," Physics in Medicine & Biology, Vol. 66, No. 9, 095002, 2021.

20. Sun, Zhishen, Guoqiang Liu, Hui Xia, and Stefan Catheline, "Lorentz force electrical-impedance tomography using linearly frequency-modulated ultrasound pulse," IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 65, No. 2, 168-177, 2018.

21. Li, Yuanyuan, Guoqiang Liu, Hui Xia, and Zhengwu Xia, "Numerical simulations and experimental study of magneto-acousto-electrical tomography with plane transducer," IEEE Transactions on Magnetics, Vol. 54, No. 3, 1-4, 2018.

22. Li, Yuanyuan, Guoqiang Liu, Zhishen Sun, Hui Xia, and Zhengwu Xia, "Magneto-acousto-electrical tomography for high resolution electrical conductivity contrast imaging," Journal of Medical Imaging and Health Informatics, Vol. 8, No. 7, 1402-1407, 2018.

23. Li, Yuanyuan, Jiaxiang Song, Hui Xia, and Guoqiang Liu, "The experimental study of mouse liver in magneto-acousto-electrical tomography by scan mode," Physics in Medicine & Biology, Vol. 65, No. 21, 215024, 2020.

24. Li, C., Y. Li, and G. Liu, "Simulation of lung tissue imaging based on magneto-acousto-electrical technology," Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, Vol. 36, No. 4, 732-737, 2021.

25. Deng, Dingqian, Tong Sun, Linguo Yu, Yi Chen, Xin Chen, Mian Chen, Siping Chen, and Haoming Lin, "Image quality improvement of magneto-acousto-electrical tomography with barker coded excitation," Biomedical Signal Processing and Control, Vol. 77, 103823, 2022.

26. Li, Peixia, Wei Chen, Gepu Guo, Juan Tu, Dong Zhang, and Qingyu Ma, "General principle and optimization of magneto-acousto-electrical tomography based on image distortion evaluation," Medical Physics, Vol. 50, No. 5, 3076-3091, 2023.

27. Li, Yuanyuan, Shuaiyu Bu, Xuelong Han, Hui Xia, Wenting Ren, and Guoqiang Liu, "Magneto-acousto-electrical tomography with nonuniform static magnetic field," IEEE Transactions on Instrumentation and Measurement, Vol. 72, 1-12, 2023.

28. Moreira, Alberto, Pau Prats-Iraola, Marwan Younis, Gerhard Krieger, Irena Hajnsek, and Konstantinos P. Papathanassiou, "A tutorial on synthetic aperture radar," IEEE Geoscience and Remote Sensing Magazine, Vol. 1, No. 1, 6-43, Mar. 2013.

29. Holmes, Philip M., Hyoung-Ki Lee, and Matthew W. Urban, "F-number optimization for synthetic aperture delay-multiply-and-sum reconstruction," Ultrasonics, Vol. 136, 107158, Jan. 2024.

Dr. Shuaiyu Bu

Dr. Xingchen Zhang

Dr. Sanxi Wu

Prof. Guo-Qiang Liu

Dr. Wenting Ren

Dr. Yuanyuan Li