Cua Michelle, Lee Sujin, Miao Dongkai, Ju Myeong Jin, Mackenzie Paul J, Jian Yifan, Sarunic Marinko V
Simon Fraser University, Department of Engineering Science, 8888 University Drive, Burnaby, British Columbia V5A1S6, Canada.
University of British Columbia, Department of Ophthalmology and Visual Science, Eye Care Center, 2550 Willow Street, Vancouver, British Columbia V5Z 3N9, Canada.
J Biomed Opt. 2016 Feb;21(2):26007. doi: 10.1117/1.JBO.21.2.026007.
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.
高分辨率光学相干断层扫描(OCT)视网膜成像对于无创可视化各种视网膜结构非常重要,有助于更好地理解导致视力丧失疾病的发病机制。然而,传统的OCT系统在横向分辨率和焦深之间存在权衡。在本报告中,我们展示了一种聚焦叠加OCT系统的开发,该系统通过将可变焦距液体透镜纳入样品臂光学系统,实现了用于高分辨率、扩展焦深临床视网膜成像的自动聚焦优化。使用图形处理单元加速处理平台进行视网膜层跟踪和选择以实现聚焦优化,提供实时的特定层正面可视化。优化后,采集聚焦在不同深度的多个容积,进行配准并拼接在一起,以生成单个高分辨率聚焦叠加数据集。使用该系统,我们展示了视网膜和视神经乳头的高分辨率图像,并从中提取了诸如神经纤维层厚度和筛板微结构等临床相关参数。