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首页> 外文期刊>Biomedical Engineering, IEEE Transactions on >Magneto-Acousto-Electrical Tomography With Magnetic Induction for Conductivity Reconstruction
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Magneto-Acousto-Electrical Tomography With Magnetic Induction for Conductivity Reconstruction

机译:具有磁感应的磁-声-电层析成像技术,用于电导率重建

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Magneto-acousto-electrical tomography (MAET) is an imaging modality proposed to conduct noninvasive electrical conductivity imaging of biological tissue with high spatial resolution. In this study, we present a method of MAET in coil detection mode, which is named as magneto-acousto-electrical tomography with magnetic induction (MAET-MI). Based on the analysis of the mechanism of MAET-MI, we derive a reciprocal theorem and give an integral equation for computing the induced voltage of the coil. The forward problem of MAET-MI can be solved by this integral equation. In the inverse problem of MAET-MI, two steps are taken to reconstruct the conductivity. The first step is to reconstruct the curl of the eddy current density in the reciprocal process by the compression sensing method. And then the conductivity is recovered by the iterative methods such as the Levenberg–Marquardt algorithm. Both the mechanism of MAET-MI and the reconstruction of conductivity are verified by computer simulations. We have also conducted the phantom experiments. The reconstructed images are approximately consistent with the phantom's conductivity. The imaging results prove the ability and the reliability of our proposed methods. It is shown that the relative conductivity distribution can be reconstructed with our proposed reciprocal theorem in MAET-MI modality. Comparing with the traditional MAET, The MAET-MI modality would benefit from the noncontact measurement and be convenient for clinical application.
机译:磁声电层析成像(MAET)是一种成像模式,旨在以高空间分辨率对生物组织进行无创电导率成像。在这项研究中,我们提出了一种在线圈检测模式下进行MAET的方法,该方法被称为带有磁感应的磁声电层析成像(MAET-MI)。在分析MAET-MI机理的基础上,我们推导了一个倒易定理,并给出了一个积分方程,用于计算线圈的感应电压。 MAET-MI的正向问题可以通过这个积分方程来解决。在MAET-MI的反问题中,采取了两个步骤来重建电导率。第一步是通过压缩感测方法在往复过程中重建涡流密度的卷曲。然后,通过诸如Levenberg-Marquardt算法之类的迭代方法恢复电导率。通过计算机仿真验证了MAET-MI的机理和电导率的重建。我们还进行了幻像实验。重建的图像与体模的电导率大致一致。成像结果证明了所提出方法的能力和可靠性。结果表明,相对电导率分布可以用我们提出的互惠定理在MAET-MI模态中重建。与传统的MAET相比,MAET-MI方式将从非接触式测量中受益,并且便于临床应用。

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