Analysis of the Singular Values for Conductivity Reconstruction in Magneto-Acoustic Tomography With Magnetic Induction

Due to the acoustic source distribution and limited bandwidth ultrasound measurement, the dominant ultrasound signals always come from the boundary of the electrical conductivity in magneto-acoustic tomography with magnetic induction (MAT-MI). To make full use of the strong boundary ultrasound signa...

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Main Authors: Ren Ma, Ming Yang, Shunqi Zhang, Xiaoqing Zhou, Tao Yin, Zhipeng Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9033961/
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author Ren Ma
Ming Yang
Shunqi Zhang
Xiaoqing Zhou
Tao Yin
Zhipeng Liu
author_facet Ren Ma
Ming Yang
Shunqi Zhang
Xiaoqing Zhou
Tao Yin
Zhipeng Liu
author_sort Ren Ma
collection DOAJ
description Due to the acoustic source distribution and limited bandwidth ultrasound measurement, the dominant ultrasound signals always come from the boundary of the electrical conductivity in magneto-acoustic tomography with magnetic induction (MAT-MI). To make full use of the strong boundary ultrasound signals, a system matrix is built which shows the relationship between the electrical conductivity and the ultrasound signals. By analyzing the singular values of the system matrix, the necessary signal to noise ratio(SNR) level is estimated in this study. An inverse procedure based on the truncated singular value decomposition(TSVD) method is presented to improve the quality of the reconstructed MAT-MI image. Simulation results show that the reconstructed conductivity images by using the new algorithm match better than that of the back-projection algorithm. Both the simulation results and the experiment results prove the reconstructed image is close to the original conductivity distribution when the more singular values are used in the inverse procedure. Meanwhile, as the number of singular values increases, the effect of noise will be enhanced in the reconstructed image. The proposed reconstruction algorithm can improve the quality of the reconstruction image for a low SNR system. Moreover, the system matrix based reconstruction algorithm proposed in this work will help to analyze the physical process and to obtain accurate high-resolution reconstructions for MAT-MI.
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spelling doaj.art-b10eec0e577f45adbfd0445dcfad0ae72022-12-21T23:20:55ZengIEEEIEEE Access2169-35362020-01-018517535176010.1109/ACCESS.2020.29802509033961Analysis of the Singular Values for Conductivity Reconstruction in Magneto-Acoustic Tomography With Magnetic InductionRen Ma0Ming Yang1Shunqi Zhang2Xiaoqing Zhou3Tao Yin4Zhipeng Liu5https://orcid.org/0000-0001-7434-4402Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, ChinaInstitute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, ChinaInstitute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, ChinaInstitute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, ChinaInstitute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, ChinaInstitute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, ChinaDue to the acoustic source distribution and limited bandwidth ultrasound measurement, the dominant ultrasound signals always come from the boundary of the electrical conductivity in magneto-acoustic tomography with magnetic induction (MAT-MI). To make full use of the strong boundary ultrasound signals, a system matrix is built which shows the relationship between the electrical conductivity and the ultrasound signals. By analyzing the singular values of the system matrix, the necessary signal to noise ratio(SNR) level is estimated in this study. An inverse procedure based on the truncated singular value decomposition(TSVD) method is presented to improve the quality of the reconstructed MAT-MI image. Simulation results show that the reconstructed conductivity images by using the new algorithm match better than that of the back-projection algorithm. Both the simulation results and the experiment results prove the reconstructed image is close to the original conductivity distribution when the more singular values are used in the inverse procedure. Meanwhile, as the number of singular values increases, the effect of noise will be enhanced in the reconstructed image. The proposed reconstruction algorithm can improve the quality of the reconstruction image for a low SNR system. Moreover, the system matrix based reconstruction algorithm proposed in this work will help to analyze the physical process and to obtain accurate high-resolution reconstructions for MAT-MI.https://ieeexplore.ieee.org/document/9033961/Magneto acoustic tomography with magnetic inductionsingular values decompositionsystem matrixinverse problemelectrical conductivity
spellingShingle Ren Ma
Ming Yang
Shunqi Zhang
Xiaoqing Zhou
Tao Yin
Zhipeng Liu
Analysis of the Singular Values for Conductivity Reconstruction in Magneto-Acoustic Tomography With Magnetic Induction
IEEE Access
Magneto acoustic tomography with magnetic induction
singular values decomposition
system matrix
inverse problem
electrical conductivity
title Analysis of the Singular Values for Conductivity Reconstruction in Magneto-Acoustic Tomography With Magnetic Induction
title_full Analysis of the Singular Values for Conductivity Reconstruction in Magneto-Acoustic Tomography With Magnetic Induction
title_fullStr Analysis of the Singular Values for Conductivity Reconstruction in Magneto-Acoustic Tomography With Magnetic Induction
title_full_unstemmed Analysis of the Singular Values for Conductivity Reconstruction in Magneto-Acoustic Tomography With Magnetic Induction
title_short Analysis of the Singular Values for Conductivity Reconstruction in Magneto-Acoustic Tomography With Magnetic Induction
title_sort analysis of the singular values for conductivity reconstruction in magneto acoustic tomography with magnetic induction
topic Magneto acoustic tomography with magnetic induction
singular values decomposition
system matrix
inverse problem
electrical conductivity
url https://ieeexplore.ieee.org/document/9033961/
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