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用于生物组织电导率成像的磁感应磁声层析成像(MAT-MI):教程综述

Magnetoacoustic tomography with magnetic induction (MAT-MI) for imaging electrical conductivity of biological tissue: a tutorial review.

作者信息

Li Xu, Yu Kai, He Bin

机构信息

F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA. Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.

出版信息

Phys Med Biol. 2016 Sep 21;61(18):R249-R270. doi: 10.1088/0031-9155/61/18/R249. Epub 2016 Aug 19.

Abstract

Magnetoacoustic tomography with magnetic induction (MAT-MI) is a noninvasive imaging method developed to map electrical conductivity of biological tissue with millimeter level spatial resolution. In MAT-MI, a time-varying magnetic stimulation is applied to induce eddy current inside the conductive tissue sample. In the presence of a static magnetic field, the Lorentz force acting on the induced eddy current drives mechanical vibrations producing detectable ultrasound signals. These ultrasound signals can then be acquired to reconstruct a map related to the sample's electrical conductivity contrast. This work reviews fundamental ideas of MAT-MI and major techniques developed in recent years. First, the physical mechanisms underlying MAT-MI imaging are described, including the magnetic induction and Lorentz force induced acoustic wave propagation. Second, experimental setups and various imaging strategies for MAT-MI are reviewed and compared, together with the corresponding experimental results. In addition, as a recently developed reverse mode of MAT-MI, magneto-acousto-electrical tomography with magnetic induction is briefly reviewed in terms of its theory and experimental studies. Finally, we give our opinions on existing challenges and future directions for MAT-MI research. With all the reported and future technical advancement, MAT-MI has the potential to become an important noninvasive modality for electrical conductivity imaging of biological tissue.

摘要

磁感应磁声层析成像(MAT-MI)是一种非侵入性成像方法,旨在以毫米级空间分辨率绘制生物组织的电导率图谱。在MAT-MI中,施加随时间变化的磁刺激以在导电组织样本内感应出涡流。在存在静磁场的情况下,作用于感应涡流的洛伦兹力驱动机械振动,产生可检测的超声信号。然后可以采集这些超声信号以重建与样本电导率对比度相关的图谱。本文综述了MAT-MI的基本概念以及近年来开发的主要技术。首先,描述了MAT-MI成像的物理机制,包括磁感应和洛伦兹力诱导的声波传播。其次,综述并比较了MAT-MI的实验设置和各种成像策略以及相应的实验结果。此外,作为MAT-MI最近开发的反向模式,简要综述了磁感应磁声电层析成像的理论和实验研究。最后,我们对MAT-MI研究的现有挑战和未来方向发表了看法。随着所有已报道的和未来的技术进步,MAT-MI有潜力成为生物组织电导率成像的重要非侵入性模态。

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本文引用的文献

2
Magneto acoustic tomography with short pulsed magnetic field for in-vivo imaging of magnetic iron oxide nanoparticles.
Nanomedicine. 2016 Apr;12(3):689-699. doi: 10.1016/j.nano.2015.10.014. Epub 2015 Dec 2.
3
Acoustic Source Analysis of Magnetoacoustic Tomography With Magnetic Induction for Conductivity Gradual-Varying Tissues.
IEEE Trans Biomed Eng. 2016 Apr;63(4):758-64. doi: 10.1109/TBME.2015.2470083. Epub 2015 Aug 19.
4
Acousto-electrical speckle pattern in Lorentz force electrical impedance tomography.
Phys Med Biol. 2015 May 7;60(9):3747-57. doi: 10.1088/0031-9155/60/9/3747. Epub 2015 Apr 23.
5
Magneto-Acousto-Electrical Tomography With Magnetic Induction for Conductivity Reconstruction.
IEEE Trans Biomed Eng. 2015 Sep;62(9):2114-24. doi: 10.1109/TBME.2014.2382562. Epub 2014 Dec 18.
6
Imaging of shear waves induced by Lorentz force in soft tissues.
Phys Rev Lett. 2014 Jul 18;113(3):038101. doi: 10.1103/PhysRevLett.113.038101.
8
Electrical tissue property imaging at low frequency using MREIT.
IEEE Trans Biomed Eng. 2014 May;61(5):1390-9. doi: 10.1109/TBME.2014.2298859.
10
A study of acoustic source generation mechanism of Magnetoacoustic Tomography.
Comput Med Imaging Graph. 2014 Jan;38(1):42-8. doi: 10.1016/j.compmedimag.2013.10.006. Epub 2013 Oct 26.

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