• 1. Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, Liaoning 125105, P.R.China;
  • 2. Institute of Electrical Engineering Chinese Academy of Sciences, Beijing 100190, P.R.China;
  • 3. School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101407, P.R.China;
LIU Guoqiang, Email: liuguoqiang@mail.iee.ac.cn
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As drug carriers, magnetic nanoparticles can specifically bind to tumors and have the potential for targeted therapy. It is of great significance to explore non-invasive imaging methods that can detect the distribution of magnetic nanoparticles. Based on the mechanism that magnetic nanoparticles can generate ultrasonic waves through the pulsed magnetic field excitation, the sound pressure wave equation containing the concentration information of magnetic nanoparticles was derived. Using the finite element method and the analytical solution, the consistent transient pulsed magnetic field was obtained. A three-dimensional simulation model was constructed for the coupling calculation of electromagnetic field and sound field. The simulation results verified that the sound pressure waveform at the detection point reflected the position of magnetic nanoparticles in biological tissue. Using the sound pressure data detected by the ultrasonic transducer, the B-scan imaging of the magnetic nanoparticles was achieved. The maximum error of the target area position was 1.56%, and the magnetic nanoparticles regions with different concentrations were distinguished by comparing the amplitude of the boundary signals in the image. Studies in this paper indicate that B-scan imaging can quickly and accurately obtain the dimensional and positional information of the target region and is expected to be used for the detection of magnetic nanoparticles in targeted therapy.

Citation: SHI Xiaoyu, LIU Guoqiang, YAN Xiaoheng, LI Yanhong. Simulation research on magnetoacoustic B-scan imaging of magnetic nanoparticles. Journal of Biomedical Engineering, 2020, 37(5): 786-792, 801. doi: 10.7507/1001-5515.202001025 Copy

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