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.
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