Abstract Quantifying the microcirculation system is helpful for a more accurate diagnosis of blood flow related diseases. In this work, we report a depth-resolved fractal parameter analysis of human microvasculature obtained with a swept-source optical coherence tomography (SS-OCT) system after depth compensation. In our analysis, the characteristics of Gaussian optics and the attenuation of light intensity with the propagation distance into the tissue were taken into account. To obtain accurate depth-resolved fractal parameter of microvasculature in human skin, a swept-source optical coherence tomography (SS-OCT) system was built. First, three-dimension blood flow datasets were acquired. Then the signals from multiple depth layers of human skin were compensated based on our model, and depth-resolved fractal parameters were extracted finally. The en-face images of the microvasculature of different areas were presented. To the best of our knowledge, for the first time, it was found that the characteristic change of the fractal parameters of the microvasculature of in vivo human skin may be missed due to the light attenuation and the features of Gaussian optics. The depth-resolved fractal analysis of human microvasculature after depth-dependent compensation of imaging signals allows more accurate blood flow related diagnose diseases or monitoring renormalization of the microvasculature after treatment.

中文翻译：

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基于深度补偿的人体微血管分形分析

摘要 量化微循环系统有助于更准确地诊断血流相关疾病。在这项工作中，我们报告了深度补偿后使用扫描源光学相干断层扫描 (SS-OCT) 系统获得的人体微血管系统的深度解析分形参数分析。在我们的分析中，考虑了高斯光学的特性和光强度随进入组织的传播距离的衰减。为了获得人体皮肤微血管系统的准确深度分辨分形参数，建立了扫频源光学相干断层扫描（SS-OCT）系统。首先，获取三维血流数据集。然后基于我们的模型对来自人体皮肤多个深度层的信号进行补偿，最终提取深度解析的分形参数。呈现了不同区域的微血管系统的正面图像。据我们所知，这是第一次发现由于光衰减和高斯光学的特性，人体皮肤微血管系统的分形参数的特征变化可能会被忽略。在对成像信号进行深度依赖补偿后对人体微血管系统进行深度分辨分形分析，可以更准确地诊断血流相关的疾病或监测治疗后微血管系统的再正常化。发现由于光衰减和高斯光学的特性，可能会错过体内人体皮肤微血管系统分形参数的特征变化。在对成像信号进行深度依赖补偿后对人体微血管系统进行深度分辨分形分析，可以更准确地诊断与血流相关的疾病或监测治疗后微血管系统的再正常化。发现由于光衰减和高斯光学的特性，可能会错过体内人体皮肤微血管系统分形参数的特征变化。在对成像信号进行深度依赖补偿后对人体微血管系统进行深度分辨分形分析，可以更准确地诊断与血流相关的疾病或监测治疗后微血管系统的再正常化。