Suppr超能文献

基于磁感应的磁声电层析成像用于电导率重建

Magneto-Acousto-Electrical Tomography With Magnetic Induction for Conductivity Reconstruction.

作者信息

Guo Liang, Liu Guoqiang, Xia Hui

出版信息

IEEE Trans Biomed Eng. 2015 Sep;62(9):2114-24. doi: 10.1109/TBME.2014.2382562. Epub 2014 Dec 18.

Abstract

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.

摘要

磁声电层析成像(MAET)是一种被提出用于对生物组织进行高空间分辨率无创电导率成像的成像模态。在本研究中,我们提出了一种线圈检测模式下的MAET方法,即磁感应磁声电层析成像(MAET-MI)。基于对MAET-MI机制的分析,我们推导了一个互易定理,并给出了一个用于计算线圈感应电压的积分方程。MAET-MI的正问题可通过该积分方程求解。在MAET-MI的逆问题中,采用两步来重建电导率。第一步是通过压缩感知方法在互易过程中重建涡电流密度的旋度。然后通过诸如Levenberg-Marquardt算法等迭代方法恢复电导率。MAET-MI的机制和电导率的重建均通过计算机模拟得到验证。我们还进行了体模实验。重建图像与体模的电导率大致一致。成像结果证明了我们所提方法的能力和可靠性。结果表明,利用我们在MAET-MI模态中提出的互易定理可以重建相对电导率分布。与传统的MAET相比,MAET-MI模态将受益于非接触测量,便于临床应用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验