基于时间反演的磁动力超声成像仿真与实验

doi:10.19595/j.cnki.1000-6753.tces.180943

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Abstract Magnetic nanoparticles can specifically bind to the tumor, which has great significance and potential application prospects for early diagnosis or specific diagnosis of tumors. This paper presents a magneto-motive ultrasound imaging method based on the time reversal method. Herein, magneto-motive force is produced by a time-varying magnetic field to induce ultrasound in the magnetic nanoparticles labeled tissue, and an image of nanoparticles distribution is reconstructed. In this paper, the finite element method was used to establish nanoparticles labeling biological tissue models with different radii. The acoustic pressure signals of magneto-motive ultrasound were obtained by calculation and simulation. The nanoparticles distribution images were reconstructed based on the time inversion method. The biological tissue imitation models and fresh vitro biological tissue samples were built with labeled nanoparticles. The magneto-motive ultrasound imaging experiments were performed. The simulation and experimental results show that the consistency of nanoparticles distribution image boundary and the nanoparticles boundary of labeling biological tissue is higher. The imaging method can quickly and accurately obtain the size and position information of the imaging targets, which indicates that the effectiveness of the proposed method and provides a promising tool for magnetic nanoparticle-labeled biological tissues in molecular imaging.

Key words： Magnetic nanoparticles magneto-motive ultrasound imaging acoustic pressure signal time reversal method nanoparticles distribution

Received: 04 June 2018 Published: 02 September 2019

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	Zhang Shuai
	Li Zixiu
	Zhang Xueying
	Zhao Mingkang
	Xu Guizhi

Cite this article:

Zhang Shuai,Li Zixiu,Zhang Xueying等. The Simulation and Experiment of Magneto-Motive Ultrasound Imaging Based on Time Reversal Method[J]. Transactions of China Electrotechnical Society, 2019, 34(16): 3303-3310.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.180943 OR https://dgjsxb.ces-transaction.com/EN/Y2019/V34/I16/3303

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