Automatically Enhanced OCT Scans of the Retina: A Proof of Concept Study

Overview

Journal Sci Rep

Specialty Science

Date 2020 May 10

PMID 32385371

Citations 15

Authors

Stefanos Apostolopoulos

Jazmin Salas

Jose L P Ordonez

Shern Shiou Tan

Carlos Ciller

Andreas Ebneter

Martin Zinkernagel

Raphael Sznitman

Sebastian Wolf

Sandro De Zanet

Marion R Munk

Affiliations

Soon will be listed here.

Abstract

In this work we evaluated a postprocessing, customized automatic retinal OCT B-scan enhancement software for noise reduction, contrast enhancement and improved depth quality applicable to Heidelberg Engineering Spectralis OCT devices. A trained deep neural network was used to process images from an OCT dataset with ground truth biomarker gradings. Performance was assessed by the evaluation of two expert graders who evaluated image quality for B-scan with a clear preference for enhanced over original images. Objective measures such as SNR and noise estimation showed a significant improvement in quality. Presence grading of seven biomarkers IRF, SRF, ERM, Drusen, RPD, GA and iRORA resulted in similar intergrader agreement. Intergrader agreement was also compared with improvement in IRF and RPD, and disagreement in high variance biomarkers such as GA and iRORA.

Citing Articles

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