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使用高灵敏度近红外(NIR)成像技术可视化皮肤面部表皮层中的水分分布。

Visualization of Water Distribution in the Facial Epidermal Layers of Skin Using High-Sensitivity Near-Infrared (NIR) Imaging.

作者信息

Egawa Mariko, Yanai Motohiro, Maruyama Nao, Fukaya Yukitaka, Hirao Tetsuji

机构信息

Shiseido Research Center, Yokohama 224-8558, Japan.

出版信息

Appl Spectrosc. 2015 Apr;69(4):481-7. doi: 10.1366/14-07571R.

Abstract

Skin moisturization is an important function of cosmetics in dermatology, and acquisition of two-dimensional information about the water content of facial skin is of great interest. Near-infrared (NIR) imaging using the water OH band centered near 1460 nm has been applied to the evaluation of water in skin. However, detection of small changes in the water content of skin water is difficult using this band because of the low absorption coefficient of water at that wavelength and inadequate optical units. We developed a high-sensitivity water imaging system using strong water bands centered near 1920 nm. This system can be used for the entire face. With the water imaging system, time-dependent changes in the water content of moisturizer-treated skin and hair were visualized with high sensitivity. In this study, we performed a water distribution analysis, with the aim of understanding the water distribution in facial skin under different environmental conditions. The water imaging system combines a diffuse illumination unit and an extended-range indium-gallium arsenide NIR camera with a detection range of 1100-2200 nm. The skin water distributions for multiple subjects with different facial shapes and sizes were compared using averaged NIR image data and a mesh partition analysis using a developed algorithm. Changes in the facial skin water content with season and humidity were visualized by the algorithm. The water content decreased in autumn, especially near the eyes and upper-cheek. Compared to other areas on the face, the water content around the eyes decreased more during an 85 min stay in a room at 10% relative humidity. The proposed method for water distribution analysis provides a powerful tool for facial skin hydration research in dermatological and cosmetics fields.

摘要

皮肤保湿是皮肤科化妆品的一项重要功能,获取面部皮肤水分含量的二维信息备受关注。利用以1460nm附近为中心的水OH波段的近红外(NIR)成像已被应用于皮肤水分的评估。然而,由于该波长下水的吸收系数低且光学单元不足,使用该波段难以检测皮肤水分含量的微小变化。我们开发了一种利用以1920nm附近为中心的强水波段的高灵敏度水成像系统。该系统可用于整个面部。利用该水成像系统,能够高灵敏度地可视化保湿剂处理过的皮肤和头发中随时间变化的水分含量。在本研究中,我们进行了水分布分析,旨在了解不同环境条件下面部皮肤的水分分布情况。该水成像系统将漫射照明单元和检测范围为1100 - 2200nm的扩展范围铟镓砷近红外相机相结合。使用平均近红外图像数据和利用开发算法的网格划分分析,比较了不同面部形状和大小的多个受试者的皮肤水分分布。通过该算法可视化了面部皮肤水分含量随季节和湿度的变化。秋季水分含量下降,尤其是眼睛附近和上脸颊部位。与面部其他区域相比,在相对湿度为10%的房间中停留85分钟期间,眼睛周围的水分含量下降得更多。所提出的水分布分析方法为皮肤科和化妆品领域的面部皮肤水合作用研究提供了一个有力工具。

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