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肺部和心血管活动时胸部的微波近场动态层析成像

Microwave Near-Field Dynamical Tomography of Thorax at Pulmonary and Cardiovascular Activity.

作者信息

Gaikovich Konstantin P, Maksimovitch Yelena S, Badeev Vitaly A, Bockeria Leo A, Djitava Tamara G, Kakuchaya Tea T, Kuular Arzhana M

机构信息

Institute for Physics of Microstructures of Russian Academy of Sciences, Nizhniy Novgorod 603950, Russia.

Institute of Applied Physics National Academy of Sciences of Belarus, 220072 Minsk, Belarus.

出版信息

Diagnostics (Basel). 2023 Mar 9;13(6):1051. doi: 10.3390/diagnostics13061051.

Abstract

The developed near-field microwave diagnostics of dynamical lung tomography provide information about variations of air and blood content depth structure in the processes of breathing and heart beating that are unattainable for other available methods. The method of dynamical pulse 1D tomography (profiling) is based on solving the corresponding nonlinear ill-posed inverse problem in the extremely complicated case of the strongly absorbing frequency-dispersive layered medium with the dual regularization method-a new Lagrange approach in the theory of ill-posed problems. This method has been realized experimentally by data of bistatic measurements with two electrically small bow-tie antennas that provide a subwavelength resolution. The proposed methods of 3D lung tomography based on the multisensory pulse, multifrequency, or multi-base measurements are based on solving the corresponding integral equations in the Born approximation. The experimental 3D tomography of lung air content was obtained by the results of the multiple 1D pulse profiling by pulse measurements in several grid points over the planar square region of the thorax. Additionally, the possible applicability of multifrequency measurements of scattered harmonic signals in the monitoring of lungs was demonstrated by four-frequency measurements in the process of breathing. The results demonstrated the feasibility of the proposed control in the diagnosis of some lung diseases.

摘要

所开发的动态肺部断层扫描近场微波诊断技术能够提供呼吸和心跳过程中空气和血液含量深度结构变化的信息,这是其他现有方法无法获取的。动态脉冲一维断层扫描(剖析)方法基于在强吸收频率色散分层介质这种极其复杂的情况下,采用双正则化方法——不适定问题理论中的一种新的拉格朗日方法,来求解相应的非线性不适定逆问题。该方法已通过使用两个电小蝴蝶结天线进行双基地测量的数据在实验中得以实现,这两个天线提供了亚波长分辨率。所提出的基于多传感器脉冲、多频率或多基地测量的三维肺部断层扫描方法基于在玻恩近似下求解相应的积分方程。通过在胸部平面方形区域的多个网格点进行脉冲测量的多次一维脉冲剖析结果,获得了肺部空气含量的实验性三维断层扫描图像。此外,通过呼吸过程中的四频率测量证明了散射谐波信号的多频率测量在肺部监测中的可能适用性。结果表明了所提出的控制方法在某些肺部疾病诊断中的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/972d/10047846/3bef4046cd25/diagnostics-13-01051-g0A1.jpg

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