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Automated motion correction using parallel-strip registration for wide-field en face OCT angiogram
Author(s) -
Pengxiao Zang,
Gangjun Liu,
Miao Zhang,
Changlei Dongye,
Jie Wang,
Alex D. Pechauer,
Thomas S. Hwang,
David J. Wilson,
David Huang,
Dengwang Li,
Yali Jia
Publication year - 2016
Publication title -
biomedical optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.7.002823
Subject(s) - optical coherence tomography , computer science , computer vision , image registration , artificial intelligence , face (sociological concept) , strips , optics , field of view , coherence (philosophical gambling strategy) , computer graphics (images) , physics , image (mathematics) , social science , quantum mechanics , sociology
We propose an innovative registration method to correct motion artifacts for wide-field optical coherence tomography angiography (OCTA) acquired by ultrahigh-speed swept-source OCT (>200 kHz A-scan rate). Considering that the number of A-scans along the fast axis is much higher than the number of positions along slow axis in the wide-field OCTA scan, a non-orthogonal scheme is introduced. Two en face angiograms in the vertical priority (2 y-fast) are divided into microsaccade-free parallel strips. A gross registration based on large vessels and a fine registration based on small vessels are sequentially applied to register parallel strips into a composite image. This technique is extended to automatically montage individual registered, motion-free angiograms into an ultrawide-field view.

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