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Mei Young, Sieun Lee, Mirza F. Beg, Paul J. Mackenzie, Marinko V. Sarunic; High Speed Morphometric Imaging of the Optic Nerve Head with 1µm OCT. Invest. Ophthalmol. Vis. Sci. 2011;52(14):6253.
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© ARVO (1962-2015); The Authors (2016-present)
Studies on primates have suggested that the Optic Nerve Head (ONH) morphology may play an important role in determining glaucoma susceptibility. Characterization of the ONH metrics using a stable physiological reference plane is also important for time course studies. The purpose of this study is to continue developing a normal database to characterize the human ONH morphometry and deep tissue structures using a custom 1µm Swept Source (SS) Optical Coherence Tomography (OCT) prototype.
Normal volunteers were screened for glaucoma by standard structural and functional examination. The planarity of the Bruch's Membrane (BM) and BM Opening (BMO) as a physiological reference plane was investigated using a prototype 830nm spectrometer based OCT system. In order to image the deeper tissue structures of the ONH, a novel 1µm SSOCT prototype was used. Volumetric ONH images consisting of 1024x400x400 pixels at 250 frames per second were acquired in ~1.6s.
Based on 3D OCT data acquired from 10 normal volunteers, the planarity of the BMO and BM were similar with a plane error of ~12µm, which is small relative to the size of the disc margin diameter (~1760µm), and corresponded to results presented in the literature on non-human primates. A volumetric image of a human ONH acquired with the 1µm OCT prototype is presented in Figure 1. Deep tissue penetration permitted clear visualization of the Anterior Lamina Surface (ALS). Segmentation of the Inner Limiting Membrane (ILM), BMO, BM and ALS was performed to visualize the ONH 3D structure. In addition to post-BMO cup volume, the 1µm system permitted measurement of total post-BMO pre-laminar tissue volume and pre-laminar tissue thickness.
High speed imaging of the ONH with 1µm OCT permits deeper tissue penetration, longer imaging depth, and significant reduction of motion artifacts. Clear visualization of ONH features enables better development of a computational model to study changes associated with early glaucoma and develop a deeper understanding into disease susceptibility.
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