Skip to main content
. Author manuscript; available in PMC: 2016 Dec 1.
Published in final edited form as: Exp Eye Res. 2015 Jun 9;141:57–73. doi: 10.1016/j.exer.2015.06.005

Figure 2. OCT Phenotyping in the NHP EG Model - Part 2: Acquisition of ONH, RNFL and Macula data sets relative to the Foveal-BMO Axis.

Figure 2

OCT acquisition software now exists that utilizes eye-tracking technology (Helb et al., 2010) to automatically acquire ONH, (A and B) RNFL (C) and macula (D) images (datasets) relative to the SDOCT-detected FoBMO axis. This anatomy is determined the first time an eye is imaged and each A-scan of each subsequent scan (of the same scan type) are acquired in the same location. If an OCT device is utilized that does not have these features, post-hoc assignment of FoBMO anatomy and ONH regionalization can be accomplished (He et al., 2014a; He et al., 2014b; Lockwood et al., 2015). In our work we have chosen to emphasize radial B-scan data sets for the ONH (B) because we have shown it to efficiently capture ONH anatomy within 3D HMRNs and, in avoiding interpolation, allows improved signal to noise ratio through averaging 9 to 100 repetitions of each B-scan. This image has appeared in a previous publication (Burgoyne, 2015) and is used with permission of the publisher.