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Impact of image averaging on vessel detection using optical coherence tomography angiography in eyes with macular oedema and in healthy eyes
PURPOSE: To assess the repeatability of multiple automatic vessel density (VD) measurements and the effect of image averaging on vessel detection by optical coherence tomography angiography (OCTA). METHODS: An observational study was conducted in a series of healthy volunteers and patients with macu...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535424/ https://www.ncbi.nlm.nih.gov/pubmed/34679094 http://dx.doi.org/10.1371/journal.pone.0257859 |
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author | Le Boité, Hugo Chetrit, Mardoche Erginay, Ali Bonnin, Sophie Lavia, Carlo Tadayoni, Ramin Couturier, Aude |
author_facet | Le Boité, Hugo Chetrit, Mardoche Erginay, Ali Bonnin, Sophie Lavia, Carlo Tadayoni, Ramin Couturier, Aude |
author_sort | Le Boité, Hugo |
collection | PubMed |
description | PURPOSE: To assess the repeatability of multiple automatic vessel density (VD) measurements and the effect of image averaging on vessel detection by optical coherence tomography angiography (OCTA). METHODS: An observational study was conducted in a series of healthy volunteers and patients with macular oedema. Five sequential OCTA images were acquired for each eye using the OptoVue HD device. The effect of the averaging of the 5 acquisitions on vessel detection was analysed quantitatively using a pixel-by-pixel automated analysis. In addition, two independent retina experts qualitatively assessed the change in vessel detection in averaged images segmented in 9 boxes and compared to the first non-averaged image. RESULTS: The automatic VD measurement in OCTA images showed a good repeatability with an overall mean intra-class correlation coefficient (ICC) of 0.924. The mean ICC was higher in healthy eyes compared to eyes with macular oedema (0.877 versus 0.960; p < 0.001) and in the superficial vascular plexus versus the deep vascular complex (0.967 versus 0.888; p = 0.001). The quantitative analysis of the effect of the averaging showed that averaged images had a mean gain of 790.4 pixels/box, located around or completing interruptions in the vessel walls, and a mean loss of 727.2 pixels/box. The qualitative analysis of the averaged images showed that 99.6% of boxes in the averaged images had a gain in vessel detection (i.e., vessels detected in the averaged image but not in the non-averaged image). The loss of pixels was due to a reduction in background noise and motion artifacts in all cases and no case of loss of vessel detection was observed. CONCLUSION: The automatic VD measurement using the OptoVue HD device showed a good repeatability in 5 acquisitions in a row setting. Averaging images increased vessel detection, and in about a third of boxes, decreased the background noise, both in healthy eyes and, in a greater proportion, in eyes with macular oedema. |
format | Online Article Text |
id | pubmed-8535424 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-85354242021-10-23 Impact of image averaging on vessel detection using optical coherence tomography angiography in eyes with macular oedema and in healthy eyes Le Boité, Hugo Chetrit, Mardoche Erginay, Ali Bonnin, Sophie Lavia, Carlo Tadayoni, Ramin Couturier, Aude PLoS One Research Article PURPOSE: To assess the repeatability of multiple automatic vessel density (VD) measurements and the effect of image averaging on vessel detection by optical coherence tomography angiography (OCTA). METHODS: An observational study was conducted in a series of healthy volunteers and patients with macular oedema. Five sequential OCTA images were acquired for each eye using the OptoVue HD device. The effect of the averaging of the 5 acquisitions on vessel detection was analysed quantitatively using a pixel-by-pixel automated analysis. In addition, two independent retina experts qualitatively assessed the change in vessel detection in averaged images segmented in 9 boxes and compared to the first non-averaged image. RESULTS: The automatic VD measurement in OCTA images showed a good repeatability with an overall mean intra-class correlation coefficient (ICC) of 0.924. The mean ICC was higher in healthy eyes compared to eyes with macular oedema (0.877 versus 0.960; p < 0.001) and in the superficial vascular plexus versus the deep vascular complex (0.967 versus 0.888; p = 0.001). The quantitative analysis of the effect of the averaging showed that averaged images had a mean gain of 790.4 pixels/box, located around or completing interruptions in the vessel walls, and a mean loss of 727.2 pixels/box. The qualitative analysis of the averaged images showed that 99.6% of boxes in the averaged images had a gain in vessel detection (i.e., vessels detected in the averaged image but not in the non-averaged image). The loss of pixels was due to a reduction in background noise and motion artifacts in all cases and no case of loss of vessel detection was observed. CONCLUSION: The automatic VD measurement using the OptoVue HD device showed a good repeatability in 5 acquisitions in a row setting. Averaging images increased vessel detection, and in about a third of boxes, decreased the background noise, both in healthy eyes and, in a greater proportion, in eyes with macular oedema. Public Library of Science 2021-10-22 /pmc/articles/PMC8535424/ /pubmed/34679094 http://dx.doi.org/10.1371/journal.pone.0257859 Text en © 2021 Le Boité et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Le Boité, Hugo Chetrit, Mardoche Erginay, Ali Bonnin, Sophie Lavia, Carlo Tadayoni, Ramin Couturier, Aude Impact of image averaging on vessel detection using optical coherence tomography angiography in eyes with macular oedema and in healthy eyes |
title | Impact of image averaging on vessel detection using optical coherence tomography angiography in eyes with macular oedema and in healthy eyes |
title_full | Impact of image averaging on vessel detection using optical coherence tomography angiography in eyes with macular oedema and in healthy eyes |
title_fullStr | Impact of image averaging on vessel detection using optical coherence tomography angiography in eyes with macular oedema and in healthy eyes |
title_full_unstemmed | Impact of image averaging on vessel detection using optical coherence tomography angiography in eyes with macular oedema and in healthy eyes |
title_short | Impact of image averaging on vessel detection using optical coherence tomography angiography in eyes with macular oedema and in healthy eyes |
title_sort | impact of image averaging on vessel detection using optical coherence tomography angiography in eyes with macular oedema and in healthy eyes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535424/ https://www.ncbi.nlm.nih.gov/pubmed/34679094 http://dx.doi.org/10.1371/journal.pone.0257859 |
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