TY - JOUR
T1 - Retinal optical coherence tomography at 1 μm with dynamic focus control and axial motion tracking
AU - Cua, Michelle
AU - Lee, Sujin
AU - Miao, Dongkai
AU - Ju, Myeong Jin
AU - Mackenzie, Paul J.
AU - Jian, Yifan
AU - Sarunic, Marinko V.
N1 - Publisher Copyright:
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE).
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/2/1
Y1 - 2016/2/1
N2 - High-resolution optical coherence tomography (OCT) retinal imaging is important to noninvasively visualize the various retinal structures to aid in better understanding of the pathogenesis of vision-robbing diseases. However, conventional OCT systems have a trade-off between lateral resolution and depth-of-focus. In this report, we present the development of a focus-stacking OCT system with automatic focus optimization for high-resolution, extended-focal-range clinical retinal imaging by incorporating a variable-focus liquid lens into the sample arm optics. Retinal layer tracking and selection was performed using a graphics processing unit accelerated processing platform for focus optimization, providing real-time layer-specific en face visualization. After optimization, multiple volumes focused at different depths were acquired, registered, and stitched together to yield a single, high-resolution focus-stacked dataset. Using this system, we show high-resolution images of the retina and optic nerve head, from which we extracted clinically relevant parameters such as the nerve fiber layer thickness and lamina cribrosa microarchitecture.
AB - High-resolution optical coherence tomography (OCT) retinal imaging is important to noninvasively visualize the various retinal structures to aid in better understanding of the pathogenesis of vision-robbing diseases. However, conventional OCT systems have a trade-off between lateral resolution and depth-of-focus. In this report, we present the development of a focus-stacking OCT system with automatic focus optimization for high-resolution, extended-focal-range clinical retinal imaging by incorporating a variable-focus liquid lens into the sample arm optics. Retinal layer tracking and selection was performed using a graphics processing unit accelerated processing platform for focus optimization, providing real-time layer-specific en face visualization. After optimization, multiple volumes focused at different depths were acquired, registered, and stitched together to yield a single, high-resolution focus-stacked dataset. Using this system, we show high-resolution images of the retina and optic nerve head, from which we extracted clinically relevant parameters such as the nerve fiber layer thickness and lamina cribrosa microarchitecture.
KW - en face optical coherence tomography
KW - focus-stacking
KW - graphics processing unit acceleration
KW - high-resolution optical coherence tomography
KW - variable-focus lens
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U2 - 10.1117/1.JBO.21.2.026007
DO - 10.1117/1.JBO.21.2.026007
M3 - Article
C2 - 26882449
AN - SCOPUS:84959239018
VL - 21
JO - Journal of Biomedical Optics
JF - Journal of Biomedical Optics
SN - 1083-3668
IS - 2
M1 - 026007
ER -