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Water Content Evaluation of Skin Tissue Based on Terahertz Time Domain Spectroscopy |
Yang Fan1, Yu Xiao1, Liu Li2, Wang Shaohua2, Han Sheng1 |
1. State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing 400044 China; 2. State Grid Zhejiang Electric Power Research Institute Hangzhou 310014 China |
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Abstract Terahertz wave has shown a broad application prospect in the detection of moisture in biological tissues due to its unique moisture sensitivity. The combination of terahertz time domain spectroscopy (THz-TDs) and effective medium theory can be applied to evaluate the moisture content of skin, but its accurate and quantitative perception of changes in skin moisture content is still an unresolved problem. Therefore, a stable assessment method and the evaluation of its accuracy and influencing factors are needed. This paper defined three skin moisture content gradient distribution curves according to the structure of human skin tissue, and proposed a quantitative evaluation method of skin moisture content with reflectance as the optimization target, and then used a hybrid algorithm combining genetic and LM algorithm to solve the objective function. Using the reflection terahertz measurement system, an occluded forearm skin measurement experiment was carried out, and the variation law of the time-domain signal and reflectance was obtained. Finally, the influence of different initial water distribution laws and different effective medium models on the accuracy of skin moisture content assessment was discussed. The results show that the initial moisture distribution law and the selection of effective medium model both have a great influence on the evaluation results of the absolute moisture content, and the effective medium models have little difference on the moisture content change. Choosing a certain water distribution law and effective medium model can accurately evaluate the change of skin moisture content. This paper can provide theoretical support for terahertz detection of skin burns and skin diseases.
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Received: 20 March 2020
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