QUANTITATIVE TOPOGRAPHIC CURVATURE MAPS OF THE POSTERIOR EYE UTILIZING OPTICAL COHERENCE TOMOGRAPHY.

Journal Article (Journal Article)

PURPOSE: Deformations of the retina such as staphylomas in myopia or scleral flattening in high intracranial pressure can be challenging to quantify with en face imaging. We describe an optical coherence tomography-based method for the generation of quantitative posterior eye topography maps in normal and pathologic eyes. METHODS: Using "whole eye" optical coherence tomography, we corrected for subjects' optical distortions to generate spatially accurate posterior eye optical coherence tomography volumes and created local curvature (KM, mm-1) topography maps for each consented subject. We imaged nine subjects, three normal, two with myopic degeneration, and four with papilledema including one that was imaged longitudinally. RESULTS: Normal subjects mean temporal KM was 0.0923 mm-1, nasal KM was 0.0927 mm-1, and KM local variability was 0.0162 mm-1. In myopic degeneration, subjects KM local variability was higher at 0.0836 mm-1. In papilledema subjects nasal KM was flatter compared with temporal KM (0.0709 vs. 0.0885 mm-1). Mean intrasession KM repeatability for all subjects was 0.0036 mm-1. CONCLUSION: We have developed an optical coherence tomography based method for quantitative posterior eye topography that offers the ability to analyze local curvature with micron scale resolution and offers the potential to help clinicians and researchers characterize subtle, local retinal deformations earlier in patients and follow their development over time.

Full Text

Duke Authors

Cited Authors

  • McNabb, RP; Liu, AS; Gospe, SM; El-Dairi, M; Meekins, LC; James, C; Vann, RR; Izatt, JA; Kuo, AN

Published Date

  • April 1, 2021

Published In

Volume / Issue

  • 41 / 4

Start / End Page

  • 804 - 811

PubMed ID

  • 32568982

Pubmed Central ID

  • 32568982

Electronic International Standard Serial Number (EISSN)

  • 1539-2864

Digital Object Identifier (DOI)

  • 10.1097/IAE.0000000000002897

Language

  • eng

Conference Location

  • United States