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Contrast enhancement of subcutaneous blood vessel images by meansof visible and near-infrared hyper-spectral imaging

机译:通过可见光和近红外超光谱成像通过可见和近红外超光谱成像对皮下血管图像的对比度

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Visualization of subcutaneous veins is very difficult with the naked eye, but important for diagnosis of medical conditions and different medical procedures such as catheter insertion and blood withdrawal. Moreover, recent studies showed that the images of subcutaneous veins could be used for biometric identification. The majority of methods used for enhancing the contrast between the subcutaneous veins and surrounding tissue are based on simple imaging systems utilizing CMOS or CCD cameras with LED illumination capable of acquiring images from the near infrared spectral region, usually near 900 nm. However, such simplified imaging methods cannot exploit the full potential of the spectral information. In this paper, a new highly versatile method for enhancing the contrast of subcutaneous veins based on state-of-the-art high-resolution hyper-spectral imaging system utilizing the spectral region from 550 to 1700 nm is presented. First, a detailed analysis of the contrast between the subcutaneous veins and the surrounding tissue as a function of wavelength, for several different positions on the human arm, was performed in order to extract the spectral regions with the highest contrast. The highest contrast images were acquired at 1100 nm, however, combining the individual images from the extracted spectral regions by the proposed contrast enhancement method resulted in a single image with up to ten-fold better contrast. Therefore, the proposed method has proved to be a useful tool for visualization of subcutaneous veins.
机译:皮下静脉的可视化对于肉眼非常困难,但对于诊断医疗条件和不同的医疗程序如导管插入和血液戒断是重要的。此外,最近的研究表明皮下静脉的图像可用于生物识别。用于增强皮下静脉和周围组织之间的对比度的大多数方法基于利用CMOS或CCD摄像机的简单成像系统,其能够从近红外光谱区域获取图像,通常接近900nm。然而,这种简化的成像方法不能利用光谱信息的全部潜力。本文提出了一种新的高通用方法,用于提高利用550至1700nm的光谱区域的最先进的高分辨率超光谱成像系统增强皮下静脉的对比度。首先,进行对人臂上的几种不同位置的皮下静脉和周围组织之间的对比度的详细分析,以便提取具有最高对比度的光谱区域。在1100nm处获取最高对比度图像,然而,通过所提出的对比度增强方法将各个图像与提取的频谱区域组合产生的单个图像,导致较大的对比度达到10倍。因此,已提出的方法已被证明是一种用于可视化皮下静脉的有用工具。

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