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15 February 2016 Retinal optical coherence tomography at 1  μm with dynamic focus control and axial motion tracking
Michelle Cua, Sujin Lee, Dongkai Miao, Myeong Jin Ju, Paul J. Mackenzie, Yifan Jian, Marinko V. Sarunic
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Journal of Biomedical Optics, Vol. 21, Issue 2, 026007 (February 2016). https://doi.org/10.1117/1.JBO.21.2.026007
Abstract
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.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2016/$25.00 © 2016 SPIE
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Michelle Cua, Sujin Lee, Dongkai Miao, Myeong Jin Ju, Paul J. Mackenzie, Yifan Jian, and Marinko V. Sarunic "Retinal optical coherence tomography at 1  μm with dynamic focus control and axial motion tracking," Journal of Biomedical Optics 21(2), 026007 (15 February 2016). https://doi.org/10.1117/1.JBO.21.2.026007
Published: 15 February 2016
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Cited by 20 scholarly publications.
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KEYWORDS
Optical coherence tomography
Visualization
Retina
Imaging systems
Image segmentation
Detection and tracking algorithms
Optical tracking
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