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Characterization of vascular structures and skin bruises using hyperspectral imaging,image analysis and diffusion theory

机译:使用高光谱成像,图像分析和扩散理论表征血管结构和皮肤挫伤

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摘要

Hyperspectral imaging, image analysis and diffusion theory were used to visualize skin vasculature and to monitor the development of fresh skin bruises. Bruises were inflicted in a porcine model, and the development of the hemorrhage was monitored using white light hyperspectral imaging (400-1000 nm). Hyperspectral images from human volunteers were also included in the study. Statistical image analysis was used to classify bruised regions and to visualize the skin vasculature. Biopsies were collected from the animals to reveal the true depth of the bruising. A three-layer diffusion model and an analytic hemoglobin transport model were used to model the reflectance spectra from the images. The results show that hyperspectral images contain depth information, and that the approximate depth and extent of bruises can be retrieved using a combination of statistical image analysis and diffusion theory. This technique also shows potential to visualize vascular structures in human skin.
机译:高光谱成像,图像分析和扩散理论用于可视化皮肤血管,并监测新鲜皮肤挫伤的发展。在猪模型中造成瘀伤,并使用白光高光谱成像(400-1000 nm)监测出血的发生。来自人类志愿者的高光谱图像也包括在研究中。统计图像分析用于对瘀伤区域进行分类并可视化皮肤血管。从动物身上收集活组织检查以揭示瘀伤的真实深度。使用三层扩散模型和分析性血红蛋白迁移模型对图像的反射光谱进行建模。结果表明,高光谱图像包含深度信息,并且可以使用统计图像分析和扩散理论的组合来检索瘀伤的近似深度和程度。该技术还显示出可视化人类皮肤中血管结构的潜力。

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