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通过在电阻抗断层成像中结合频率和时差成像方法对生物和非导电目标进行同步成像。

Simultaneous Imaging of Bio- and Non-Conductive Targets by Combining Frequency and Time Difference Imaging Methods in Electrical Impedance Tomography.

机构信息

School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China.

Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China.

出版信息

Biosensors (Basel). 2021 May 31;11(6):176. doi: 10.3390/bios11060176.

Abstract

As a promising medical imaging modality, electrical impedance tomography (EIT) can image the electrical properties within a region of interest using electrical measurements applied at electrodes on the region boundary. This paper proposes to combine frequency and time difference imaging methods in EIT to simultaneously image bio- and non-conductive targets, where the image fusion is accomplished by applying a wavelet-based technique. To enable image fusion, both time and frequency difference imaging methods are investigated regarding the reconstruction of bio- or non-conductive inclusions in the target region at varied excitation frequencies, indicating that none of those two methods can tackle with the scenarios where both bio- and non-conductive inclusions exist. This dilemma can be resolved by fusing the time difference (td) and appropriate frequency difference (fd) EIT images since they are complementary to each other. Through simulation and in vitro experiment, it is demonstrated that the proposed fusion method can reasonably reconstruct both the bio- and non-conductive inclusions within the lung models established to simulate the ventilation process, which is expected to be beneficial for the diagnosis of lung-tissue related diseases by EIT.

摘要

作为一种很有前途的医学成像模式,电阻抗断层成像(EIT)可以使用边界电极施加的电测量来对感兴趣区域内的电特性进行成像。本文提出在 EIT 中结合频率和时差成像方法,以同时对生物和非导电目标进行成像,其中图像融合通过应用基于小波的技术来完成。为了实现图像融合,研究了时差和适当的频差 EIT 方法,以在不同激励频率下重建目标区域中的生物或非导电内含物,结果表明这两种方法都无法解决同时存在生物和非导电内含物的情况。通过融合时差(td)和适当的频差(fd)EIT 图像可以解决这个困境,因为它们是互补的。通过仿真和体外实验,证明了所提出的融合方法可以合理地重建模拟通气过程的肺模型中既包含生物组织又包含非导电组织的内含物,这有望通过 EIT 对肺部疾病进行诊断。

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