@inproceedings{6d69126f27964f8a8f9f9b2ff2c4ecf5,
title = "Automatic optimization high-speed high-resolution OCT retinal imaging at 1μm",
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.",
keywords = "GPU acceleration, en face OCT, focus stacking, high-resolution OCT, variable focus lens",
author = "Michelle Cua and Xiyun Liu and Dongkai Miao and Sujin Lee and Sieun Lee and Stefano Bonora and Zawadzki, {Robert J.} and Mackenzie, {Paul J.} and Yifan Jian and Sarunic, {Marinko V.}",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; 25th Conference on Ophthalmic Technologies ; Conference date: 07-02-2015 Through 08-02-2015",
year = "2015",
doi = "10.1117/12.2079665",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Arthur Ho and Fabrice Manns and Soderberg, {Per G.}",
booktitle = "Ophthalmic Technologies XXV",
}