Motion-corrected Gaussian, mean, and parametric curvature mapping of the posterior eye with pupil-tracked whole-eye OCT.

Abstract

Optical coherence tomography (OCT) is a promising alternative to magnetic resonance imaging (MRI) for accessible, high-resolution measurement of posterior eye curvature, including for applications such as exploration of local eye shape deformations in pathologic myopia. However, OCT is a point-scanning interferometric imaging method that spatially encodes the effects of patient motion during acquisition into an acquired volume. These motion artifacts reduce accuracy and increase intra-acquisition variation in measured curvature, reducing the utility of OCT for monitoring posterior eye curvatures longitudinally. We present a method utilizing 3D pupil tracking and sparse orthogonal scanning for post-acquisition correction of motion artifacts in posterior eye OCT volumes and their corresponding curvature maps. We imaged six subjects exhibiting moderate (-6.0 to -3.0 D) to high (<-6.0 D) myopia and demonstrate a reduction in intra-session curvature variability when using our pupil tracking motion correction scheme. We also propose alternative metrics for representing 2-dimensional posterior eye curvature data to researchers and clinicians.