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Article type: Research Article
Authors: Zhang, Shuai | Li, Wenlong | Zhang, Xueying | Wang, Hongbin | Zhao, Mingkang | Li, Zixiu | Xu, Jinzhao | Xu, Jiayue | Cui, Kun | Shi, Xun | Tan, Chunxiao | Xu, Guizhi*
Affiliations: State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Tianjin 300130, China
Correspondence: [*] Corresponding author: Guizhi Xu, State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei, Tianjin 300130, China. E-mail: gzxu@hebut.edu.cn
Abstract: Magnetoacoustic Tomography with Magnetic Induction (MAT-MI) is a hybrid imaging modality proposed to reconstruct the electrical impedance property in biological tissue with high spatial resolution. The tissue in most parts of human body has inhomogeneous acoustic properties, which will significantly affect the propagations of ultrasound waves. And then it leads to potential distortion and blurring of the acoustic source and conductivity images in the reconstruction. The purpose of this paper is to reconstruct both the acoustic source and conductivity distribution in an acoustically heterogeneous medium. And a new algorithm is presented based on the generalized finite element method (GFEM) and inhomogeneous time reversal method. We established an acoustic inhomogeneous model, in which different regions of the model the acoustic signals spread with different speeds. The numerical simulation experiments showed feasibility of the new method. Then we applied the proposed algorithm to reconstruct the conductivity of a gel phantom with our MAT-MI system. The experimental results indicate that the acoustic inhomogeneity of tissues in terms of speed variation can be reconstructed in the process of MAT-MI imaging.
Keywords: MAT-MI, acoustic inhomogeneity, time reversal method
DOI: 10.3233/JAE-9170095
Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 56, no. 1, pp. 131-140, 2018
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