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In vivo skin chromophore mapping using a multimode imaging dermoscope (SkinSpect™)

机译:使用多模式成像皮肤镜(SkinSpect™)进行体内皮肤发色团定位

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We introduce a multimode dermoscope (SkinSpect™) we developed for early detection of melanoma by combining fluorescence, polarization and hyperspectral imaging. Acquired reflection image datacubes were input to a wavelength-dependent linear model to extract the relative contributions of skin chromophores at every pixel. The oxy-hemoglobin, deoxy hemoglobin, melanin concentrations, and hemoglobin oxygen saturation by the single step linear least square fitting and Kubelka-Munk tissue model using cross polarization data cubes were presented. The comprehensive data obtained by SkinSpect can be utilized to improve the accuracy of skin chromophore decomposition algorithm with less computation cost. As an example in this work, the deoxy-hemoglobin over-estimation error in highly pigmented lesion due to melanin and deoxy hemoglobin spectral cross talk were analyzed and corrected using two-step linear least square fitting procedure at different wavelength ranges. The proposed method also tested in skin with underlying vein area for validating the proof of concept.
机译:我们介绍了一种多模式皮肤镜(SkinSpect™),该技术是我们通过结合荧光,偏振和高光谱成像而开发的用于黑色素瘤的早期检测。将获得的反射图像数据立方体输入到与波长相关的线性模型中,以提取每个像素上皮肤发色团的相对贡献。通过单步线性最小二乘拟合和使用交叉极化数据立方体的Kubelka-Munk组织模型,提出了氧合血红蛋白,脱氧血红蛋白,黑色素浓度和血红蛋白氧饱和度。 SkinSpect获得的综合数据可用于以较少的计算成本提高皮肤发色团分解算法的准确性。作为这项工作的一个例子,分析和校正了黑色素和脱氧血红蛋白光谱串扰导致的色素沉着病变中的脱氧血红蛋白过高估计误差,并使用两步线性最小二乘拟合程序在不同波长范围内进行了校正。所提出的方法还在具有潜在静脉区域的皮肤中进行了测试,以验证概念验证。

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