Automated volumetric retinal imaging with complete visualization of Henle’s fiber layer using robotically aligned optical coherence tomography

Abstract

Optical coherence tomography (OCT) allows for in vivo imaging of the individual layers of the retina, but conventional methods do not differentiate the outer nuclear layer (ONL) from Henle’s fiber layer (HFL). We have developed a robotically aligned OCT (RAOCT) system capable of automatically acquiring volumes at multiple pupil entry positions to reconstruct a retinal volume that distinguishes the HFL from the ONL. We utilized the RAOCT system to acquire such volumes from consented subjects, and used mosaicking to combine them into complete retinal volumes that show enhanced contrast in the HFL on all sides of the fovea.