Original articleImpact of Multiple En Face Image Averaging on Quantitative Assessment from Optical Coherence Tomography Angiography Images
Section snippets
Methods
This was a prospective, observational, cross-sectional case series. This study was approved by the Institutional Review Board of the University of California, Los Angeles, and was conducted in accordance with the tenets of the Declaration of Helsinki and in compliance with the regulations set forth by the Health Insurance Portability and Accountability Act. Written informed consent was obtained from all examined healthy individuals before they participated in the study.
Results
Two eyes with off-center scans and 1 eye with nonuniform illumination in some scans did not meet the prespecified quality criteria and were excluded from the analyses. Thus, 18 eyes from 18 participants were included in the final analysis. These participants had an average age of 34.9±5.9 years (range, 24–49 years). Eight participants were men and 10 were women.
Image quality assessment by masked reading center graders (S.B. and E.B.) revealed that in all cases, the averaged image was rated to
Discussion
In this study, we evaluated the impact of multiple en face image averaging on quantitative parameters commonly derived from OCTA images. Our findings showed a significant difference in quantitative measurements between the original image and averaged images, suggesting that the noise and vessel discontinuities apparent in unaveraged images do have a significant impact on these quantitative parameters. Considering that current OCTA measurements are highly dependent on the result of binarization,
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Financial Disclosure(s): The author(s) have made the following disclosure(s): S.R.S.: Consultant – Carl Zeiss Meditec, Optos, Allergan, Genentech, Alcon, Novartis, Roche, Regeneron, Bayer, Thrombogenics, Stemm Cells, Inc, Avalanche; Financial support – Carl Zeiss Meditec, Optos, Allergan, Genentech
Supported by the Astellas Foundation for Research on Metabolic Disorders (A.U.).
Author Contributions:
Conception and design: Uji, Sadda
Analysis and interpretation: Uji, Balasubramanian, Lei, Baghdasaryan, Al-Sheikh, Sadda
Data collection: Uji, Balasubramanian, Lei, Baghdasaryan, Al-Sheikh
Obtained funding: none
Overall responsibility: Uji, Sadda