Choroidal thickness maps from spectral domain and swept source optical coherence tomography: algorithmic versus ground truth annotation

Autor: Ursula Schmidt-Erfurth, Hrvoje Bogunovic, Sebastian M. Waldstein, Henrik Faatz, Dominika Podkowinski, Ana-Maria Philip, Roland Leitner, Li Zhang, Michael Hagmann, Michael D. Abràmoff, Bianca S. Gerendas, Milan Sonka, Christian Simader
Rok vydání: 2016
Předmět:
Zdroj: British Journal of Ophthalmology. 100:1372-1376
ISSN: 1468-2079
0007-1161
DOI: 10.1136/bjophthalmol-2015-307985
Popis: The purpose of the study was to create a standardised protocol for choroidal thickness measurements and to determine whether choroidal thickness measurements made on images obtained by spectral domain optical coherence tomography (SD-OCT) and swept source (SS-) OCT from patients with healthy retina are interchangeable when performed manually or with an automatic algorithm.36 grid cell measurements for choroidal thickness for each volumetric scan were obtained, which were measured for SD-OCT and SS-OCT with two methods on 18 eyes of healthy volunteers. Manual segmentation by experienced retinal graders from the Vienna Reading Center and automated segmentation on6300 images of the choroid from both devices were statistically compared.Model-based comparison between SD-OCT/SS-OCT showed a systematic difference in choroidal thickness of 16.26±0.725 μm (p0.001) for manual segmentation and 21.55±0.725 μm (p0.001) for automated segmentation. Comparison of automated with manual segmentations revealed small differences in thickness of -0.68±0.513 μm (p=0.1833). The correlation coefficients for SD-OCT and SS-OCT measures within eyes were 0.975 for manual segmentation and 0.955 for automatic segmentation.Choroidal thickness measurements of SD-OCT and SS-OCT indicate that these two devices are interchangeable with a trend of choroidal thickness measurements being slightly thicker on SD-OCT with limited clinical relevance. Use of an automated algorithm to segment choroidal thickness was validated in healthy volunteers.
Databáze: OpenAIRE