Makita Shuichi, Kurokawa Kazuhiro, Hong Young-Joo, Miura Masahiro, Yasuno Yoshiaki
Computational Optics Group, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan.
Department of Ophthalmology, Tokyo Medical University Ibaraki Medical Center, 3-20-1 Chuo, Ami, Inashiki, Ibaraki 300-0395, Japan.
Biomed Opt Express. 2016 Mar 29;7(4):1525-48. doi: 10.1364/BOE.7.001525. eCollection 2016 Apr 1.
This paper describes a complex correlation mapping algorithm for optical coherence angiography (cmOCA). The proposed algorithm avoids the signal-to-noise ratio dependence and exhibits low noise in vasculature imaging. The complex correlation coefficient of the signals, rather than that of the measured data are estimated, and two-step averaging is introduced. Algorithms of motion artifact removal based on non perfusing tissue detection using correlation are developed. The algorithms are implemented with Jones-matrix OCT. Simultaneous imaging of pigmented tissue and vasculature is also achieved using degree of polarization uniformity imaging with cmOCA. An application of cmOCA to in vivo posterior human eyes is presented to demonstrate that high-contrast images of patients' eyes can be obtained.
本文描述了一种用于光学相干血管造影术（cmOCA）的复杂相关映射算法。所提出的算法避免了对信噪比的依赖，并且在血管成像中表现出低噪声。估计的是信号的复相关系数，而不是测量数据的复相关系数，并引入了两步平均法。开发了基于使用相关性的非灌注组织检测的运动伪影去除算法。这些算法是用琼斯矩阵光学相干断层扫描（OCT）实现的。使用cmOCA的偏振均匀度成像也实现了色素组织和血管的同时成像。介绍了cmOCA在人体活体后眼的应用，以证明可以获得患者眼睛的高对比度图像。
