Simulation of Lung Tissue Imaging Based on Magneto-Acousto-Electrical Technology
Li Cailian1,2, Li Yuanyuan1,2, Liu Guoqiang1,2
1. Institute of Electrical Engineering Chinese Academy of Sciences Beijing 100190 China; 2. School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing 100190 China
Abstract：COVID-19 can cause pulmonary edema and pulmonary consolidation, causing serious damage to the lungs. CT is radioactive, and ultrasound imaging is difficult to play a role in patients with mild symptoms. Magneto-acousto-electrical tomography (MAET) is a typical electrical characteristic imaging technology that couples electromagnetic field and ultrasound. It has the advantages of high spatial resolution and high contrast, and can detect early-stage of lung lesions. In this paper, the principle of MAET is introduced, and the pre-pulmonary edema or pre-consolidation model and complete pulmonary edema or pulmonary consolidation model are established through finite element software. The MAET signal of the model is analyzed, and the B-scan imaging is realized. The simulation results show that the gas in the lung tissue has a reflection effect on ultrasound. As the gas content in the lung tissue decreases, the amplitude of the pulse signal formed by the reflected ultrasound on the left boundary of the lung tissue gradually decreases, while on the right boundary of lung tissue, the amplitude of pulse signal generated by the increase of ultrasonic diffraction through gassed tissue increases. When the lungs are completely edema or consolidation, the lung tissue no longer contains gas, the pulse signal caused by reflected ultrasound disappears, and pulse signal of internal mass can be displayed. The potential of MAET is discussed in the clinical application of COVID-19 through simulation.
李彩莲, 李元园, 刘国强. 基于磁声电技术的肺部组织成像仿真研究[J]. 电工技术学报, 2021, 36(4): 732-737.
Li Cailian, Li Yuanyuan, Liu Guoqiang. Simulation of Lung Tissue Imaging Based on Magneto-Acousto-Electrical Technology. Transactions of China Electrotechnical Society, 2021, 36(4): 732-737.
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2021, Vol. 36 
