提出了一种用于对人体皮肤的微血管成像的手持式扫频光学相干层析系统。对比分析了功率强度差分(PID)、散斑方差(SV)以及基于对数强度的差分标准差(DSDLI)3种算法对实际成像分辨率等的影响，并用3种算法获得的人体皮肤在体截面和正面图说明3种血流成像算法的成像性能。结果表明：相比于PID和SV算法，DSDLI算法重建的血流图像中的血管更加清晰，血管信息更多，且能捕获到其他两种算法重建图像中看不到的血管。

We propose a hand-held frequency sweeping optical coherence tomography system, which can image microvasculature in human skin. We get the cross-section and en-face images using power intensity differential (PID), speckle variance (SV), and differential standard deviation of log-scale intensity (DSDLI) algorithms, and compare the practical imaging resolutions. The results show that, compared with images reconstructed by PID and SV algorithms, the image reconstructed by DSDLI algorithm is clearer and shows more blood vessels and detailed vascular information.