Automatic optimization high-speed high-resolution OCT retinal imaging at 1µm

Michelle Cua; Xiyun Liu; Dongkai Miao; Sujin Lee; Sieun Lee; Stefano Bonora; Robert J. Zawadzki; Paul J. Mackenzie; Yifan Jian; Marinko V. Sarunic

doi:10.1117/12.2079665

20 March 2015 Automatic optimization high-speed high-resolution OCT retinal imaging at 1μm

Michelle Cua, Xiyun Liu, Dongkai Miao, Sujin Lee, Sieun Lee, Stefano Bonora, Robert J. Zawadzki, Paul J. Mackenzie, Yifan Jian, Marinko V. Sarunic

Author Affiliations +

Proceedings Volume 9307, Ophthalmic Technologies XXV; 93071D (2015) https://doi.org/10.1117/12.2079665
Event: SPIE BiOS, 2015, San Francisco, California, United States

Abstract

High-resolution OCT retinal imaging is important in providing visualization of various retinal structures to aid researchers in better understanding the pathogenesis of vision-robbing diseases. However, conventional optical coherence tomography (OCT) systems have a trade-off between lateral resolution and depth-of-focus. In this report, we present the development of a focus-stacking optical coherence tomography (OCT) system with automatic optimization for high-resolution, extended-focal-range clinical retinal imaging. A variable-focus liquid lens was added to correct for de-focus in real-time. A GPU-accelerated segmentation and optimization was used to provide real-time layer-specific enface visualization as well as depth-specific focus adjustment. 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 ONH, from which we extracted clinically-relevant parameters such as the nerve fiber layer thickness and lamina cribrosa microarchitecture.

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Michelle Cua, Xiyun Liu, Dongkai Miao, Sujin Lee, Sieun Lee, Stefano Bonora, Robert J. Zawadzki, Paul J. Mackenzie, Yifan Jian, and Marinko V. Sarunic "Automatic optimization high-speed high-resolution OCT retinal imaging at 1μm", Proc. SPIE 9307, Ophthalmic Technologies XXV, 93071D (20 March 2015); https://doi.org/10.1117/12.2079665

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KEYWORDS

Optical coherence tomography

Image segmentation

Imaging systems

Visualization

Retinal scanning

Nerve

Optimization (mathematics)

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