基于多帧B扫描的对数强度的微分标准偏差算法

Differential Standard Deviation Algorithm Based on Logarithmic Intensity of Multi-Frame B-Scan

提出一种基于扫频光学相干层析术(SSOCT)的重建人体皮下微血管三维结构的新算法。该方法利用搭建的手持式人体皮肤微血管扫频光学相干层析系统,采用多帧B扫描对数强度血流图像微分标准偏差计算,获取人体皮肤在体截面图像和微血管正面图(en face image)。实验结果证明,与现有的对数强度微分标准偏差算法(DSDLI)相比,本文算法能够更好地恢复出血流图像信息,在重建图像中可以明显看到原算法的处理结果中看不出的血流细节,更有利于光学相干层析术(OCT)系统在癌症、糖尿病、酒色斑等疾病在医学诊断方面的现实应用。

In this study,we report a novel method based on swept-source optical coherence tomography that involves the reconstruction of the three-dimensional structure of the human subcutaneous microvasculature.A handheld optical coherence tomography system that has been developed in our laboratory is employed as the human skin microvascular scanner in the proposed method.Further,the differential standard deviation observed in the logarithmic-intensity blood flow images in case of multi-frame B-scan is calculated,and the in vivo cross-section and en-face images of human skin are obtained.The experimental results denote that the proposed algorithm can generate image information of hemorrhagic flow better when compared with the existing differential standard deviation algorithm based on logarithmic intensity.Furthermore,the blood flow details that cannot be seen in the processed results obtained from the original algorithm can be clearly observed from the reconstructed image obtained by the proposed algorithm,which is useful for ensuring the practical application of the optical coherence tomography system in medical diagnosis of diseases,such as cancer,diabetes,and wine stains.