精品啪啪一级免费视频 高光谱技术在皮肤检测中的应用

The Application of Hyperspectral Technology in Skin Detection

长期以来，高光谱成像技术凭借其在农作物病虫害检测等农业领域的优秀表现，展现了其强大的洞察力。然而，高光谱的“慧眼”并非止步于此，它正以其无创、精准的特性，深入洞察人体皮肤的生理指标，为医学诊断和健康管理开辟新的篇章。

For a long time, hyperspectral imaging (HSI) technology has demonstrated its powerful insights through its excellent performance in agricultural fields, such as crop pest and disease detection. However, the "all-seeing eye" of hyperspectral technology does not stop there. With its non-invasive and precise characteristics, it is now delving into the physiological indicators of human skin, opening new chapters for medical diagnosis and health management. This technology captures spectral information from objects across different wavelengths, revealing deep physiological changes imperceptible to the human eye.

皮肤灌注与肤色影响

德国的一个研究团队将高光谱技术用于评估皮肤的灌注情况。它通过检测组织氧饱和度（StO2）、组织血红蛋白指数（THI）、近红外灌注指数（NIR-index）和组织水分指数（TWI）等生理指标，进而判断皮瓣的血流供应。这些指标的获取是基于分析皮肤内氧合血红蛋白、脱氧血红蛋白和黑色素等内源性发色团在不同波长下的吸收和散射特性。

研究发现，不同肤色和身体部位的皮肤呈现光谱差异。通过分析这些差异并结合临床数据，研究揭示高光谱在浅肤色人群中灌注评估效果更佳，深肤色受黑色素影响较大，为未来更精准的个性化评估提供了方向。

Skin Perfusion and Skin Tone Influence

A German research team utilized hyperspectral technology to assess skin perfusion. It determines the blood supply to skin flaps by detecting physiological indicators such as Tissue-oxygen-saturation (StO2), Tissue-hemoglobin-index (THI), Near-infrared-perfusion-index (NIR-index), and Tissue-water-index (TWI). The acquisition of these indicators is based on analyzing the absorption and scattering characteristics of endogenous chromophores within the skin, including oxyhemoglobin, deoxyhemoglobin, and melanin, at different wavelengths.

The study found that skin of different tones and body sites exhibits spectral differences. By analyzing these disparities and integrating clinical data, the research revealed that HSI's perfusion assessment is more effective in individuals with lighter skin tones, while darker skin tones are significantly influenced by melanin. This provides direction for more accurate personalized assessments in the future.

黑色素、血红蛋白 （Hb） 种类和水的吸收光谱

The absorption spectra of melanin, the hemoglobin (Hb) species and water.

4个组织指数的伪彩色图像结果：StO2、NIR指数、THI和TWI以及高光谱系统的RGB图像

Results for the false color images of the four tissues indices StO2, NIR-index, THI and TWI with the RGB image as shown by the HSI-device.

血红蛋白与血氧饱和度

来自欧洲和新西兰的科研团队，展示了高光谱在检测皮肤血红蛋白含量和血氧饱和度上的应用，并实现其二维可视化。血红蛋白在特定波长下有明显吸收峰，不同血氧饱和度也会引起光谱细微变化。研究利用神经网络分析这些光谱特征，精确量化并可视化了血红蛋白和血氧饱和度。

皮肤的血红蛋白含量和血氧饱和度是反映人体血液循环和组织供氧情况的关键指标。精确检测这些指标对于评估贫血、缺氧等血液循环问题具有重要意义，能为疾病的早期诊断、治疗效果监测提供客观依据。

Hemoglobin and Blood Oxygen Saturation

Research teams from Europe and New Zealand showcased the application of hyperspectral technology in detecting skin hemoglobin content and blood oxygen saturation, enabling their 2D visualization. Hemoglobin exhibits distinct absorption peaks at specific wavelengths, and varying blood oxygen saturation levels lead to subtle spectral changes. The studies leveraged neural networks to analyze these spectral features, accurately quantifying and visualizing hemoglobin and blood oxygen saturation.

Skin hemoglobin content and blood oxygen saturation are crucial indicators reflecting human blood circulation and tissue oxygen supply. Precise detection of these indicators is vital for evaluating circulatory problems such as anemia and hypoxia, providing objective evidence for early disease diagnosis and monitoring treatment efficacy.

该研究的高光谱数据处理流程图

Flowchart of hyperspectral data processing

皮肤色素成分分析

一个欧洲的科研团队利用了高光谱技术，检测皮肤中的黑色素和血红蛋白等色素成分，进而精准测绘皮肤色素分布。不同色素成分在不同波长下有其光谱特性，通过光学模型和反演算法解析高光谱数据，可实现色素成分的精确量化和空间分布图绘制，有助于皮肤疾病诊断、治疗效果评估及个性化护肤。

Skin Pigment Component Analysis

A European research team utilized hyperspectral technology to detect pigment components in the skin, such as melanin and hemoglobin, thereby accurately mapping skin pigment distribution. Different pigment components possess unique spectral characteristics at various wavelengths. By analyzing hyperspectral data through optical models and inversion algorithms, precise quantification of pigment components and the creation of spatial distribution maps can be achieved. This contributes to the diagnosis of skin diseases, evaluation of treatment efficacy, and personalized skincare.

利用女性眼周区域的高光谱图像获得的(a)彩色图像，(b)血容量分数密度图，(c)黑色素体积分数密度图，(d)血氧饱和图。

Color image (a), and density images of blood volume fraction(b), melanin volume fraction (c) and oxygen saturation (d) issued from ahyperspectral image of female eye contour.

结语

高光谱技术，以其优势，正逐步成为医学领域的重要工具。它为我们提供了强大的能力，深入理解人体皮肤的复杂生理过程。

我们提供的国产高性能高光谱成像系统，正是迈向这些应用的基础。凭借优秀的性能表现，它能为研究和开发提供高精度、高质量的光谱数据。我们专业的团队也具备丰富的行业经验，可以提供专业的技术建议和支持，帮助客户实现特定的诊断或分析功能。

Conclusion

Hyperspectral technology, with its unique advantages, is gradually becoming a vital tool in the medical field. It provides us with unprecedented capabilities to deeply understand the complex physiological processes of human skin.

Our domestically produced high-performance hyperspectral imaging systems serve as the foundation for pursuing these applications. With exceptional performance, they provide high-precision, high-quality spectral data for research and development. Our professional team also possesses extensive industry experience, enabling us to offer expert technical advice and support to help clients achieve specific diagnostic or analytical functionalities.

案例来源 /  Source：

1. Pachyn, E. et al. (2024). Investigation on the influence of the skin tone on hyperspectral imaging for free flap surgery. Scientific Reports, 14, 13979.

2. Zherebtsov, E. et al. (2019). Hyperspectral imaging of human skin aided by artificial neural networks. Biomedical Optics Express, 10(7), 3545–3559.

3. Seroul, P. et al. (2016). Model-based Skin Pigment Cartography by High-Resolution Hyperspectral Imaging. Journal of Imaging Science and Technology, 60(6), 060404.