Open AccessNoise-immune complex correlation for optical coherence angiography based on standard and Jones matrix optical coherence tomography
Author(s) -
Shuichi Makita,
Kazuhiro Kurokawa,
Young-Joo Hong,
Masahiro Miura,
Yoshiaki Yasuno
Publication year - 2016
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.7.001525
Subject(s) - optical coherence tomography , optics , angiography , artifact (error) , coherence (philosophical gambling strategy) , computer science , correlation , correlation coefficient , physics , computer vision , mathematics , radiology , medicine , geometry , quantum mechanics , machine learning
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.