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[用于识别体表异常结节组织的微波传感器]

[Microwave sensor for recognition of abnormal nodule tissue on body surface].

作者信息

Li Chunxue, Guo Hongfu, Zhou Chen, Wang Xinran, Bai Junkai

机构信息

School of Physics, Xidian University, Xi'an 710071, P. R. China.

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2023 Feb 25;40(1):149-154. doi: 10.7507/1001-5515.202209014.

Abstract

For the detection and identification of abnormal nodular tissues on the body surface, a microwave sensor structure loaded with a spiral resonator is proposed in this paper, a sensor simulation model is established using HFSS software, the structural parameters are optimized, and the actual sensor is fabricated. The S21 parameters of the tissue were obtained when nodules appeared by simulation, and the characteristic relationship between the difference of S21 parameters with position was analyzed and tested experimentally. The results showed that when nodules were present in normal tissues, the curve of S21 parameter difference with position change had obvious inverted bimodal characteristics, and the extreme value of S21 parameter difference appeared when the sensor was directly above the nodules, which was easy to identify the position of nodules. It provides an objective detection tool for the identification of abnormal nodular tissues on the body surface.

摘要

为检测和识别体表异常结节组织,本文提出一种加载螺旋谐振器的微波传感器结构,利用HFSS软件建立传感器仿真模型,优化结构参数,并制作实际传感器。通过仿真得到结节出现时组织的S21参数,对S21参数差值与位置的特征关系进行分析并进行实验测试。结果表明,正常组织中出现结节时,S21参数差值随位置变化的曲线具有明显的倒双峰特征,当传感器位于结节正上方时S21参数差值出现极值,便于识别结节位置。它为体表异常结节组织的识别提供了一种客观的检测工具。

相似文献

1
[Microwave sensor for recognition of abnormal nodule tissue on body surface].[用于识别体表异常结节组织的微波传感器]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2023 Feb 25;40(1):149-154. doi: 10.7507/1001-5515.202209014.

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