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Repeatability of binarization thresholding methods for optical coherence tomography angiography image quantification
Binarization is a critical step in analysis of retinal optical coherence tomography angiography (OCTA) images, but the repeatability of metrics produced from various binarization methods has not been fully assessed. This study set out to examine the repeatability of OCTA quantification metrics produ...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505834/ https://www.ncbi.nlm.nih.gov/pubmed/32958813 http://dx.doi.org/10.1038/s41598-020-72358-z |
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author | Mehta, Nihaal Braun, Phillip X. Gendelman, Isaac Alibhai, A. Yasin Arya, Malvika Duker, Jay S. Waheed, Nadia K. |
author_facet | Mehta, Nihaal Braun, Phillip X. Gendelman, Isaac Alibhai, A. Yasin Arya, Malvika Duker, Jay S. Waheed, Nadia K. |
author_sort | Mehta, Nihaal |
collection | PubMed |
description | Binarization is a critical step in analysis of retinal optical coherence tomography angiography (OCTA) images, but the repeatability of metrics produced from various binarization methods has not been fully assessed. This study set out to examine the repeatability of OCTA quantification metrics produced using different binarization thresholding methods, all of which have been applied in previous studies, across multiple devices and plexuses. Successive 3 × 3 mm foveal OCTA images of 13 healthy eyes were obtained on three different devices. For each image, contrast adjustments, 3 image processing techniques (linear registration, histogram normalization, and contrast-limited adaptive histogram equalization), and 11 binarization thresholding methods were independently applied. Vessel area density (VAD) and vessel length were calculated for retinal vascular images. Choriocapillaris (CC) images were quantified for VAD and flow deficit metrics. Repeatability, measured using the intra-class correlation coefficient, was inconsistent and generally not high (ICC < 0.8) across binarization thresholds, devices, and plexuses. In retinal vascular images, local thresholds tended to incorrectly binarize the foveal avascular zone as white (i.e., wrongly indicating flow). No image processing technique analyzed consistently resulted in highly repeatable metrics. Across contrast changes, retinal vascular images showed the lowest repeatability and CC images showed the highest. |
format | Online Article Text |
id | pubmed-7505834 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75058342020-09-22 Repeatability of binarization thresholding methods for optical coherence tomography angiography image quantification Mehta, Nihaal Braun, Phillip X. Gendelman, Isaac Alibhai, A. Yasin Arya, Malvika Duker, Jay S. Waheed, Nadia K. Sci Rep Article Binarization is a critical step in analysis of retinal optical coherence tomography angiography (OCTA) images, but the repeatability of metrics produced from various binarization methods has not been fully assessed. This study set out to examine the repeatability of OCTA quantification metrics produced using different binarization thresholding methods, all of which have been applied in previous studies, across multiple devices and plexuses. Successive 3 × 3 mm foveal OCTA images of 13 healthy eyes were obtained on three different devices. For each image, contrast adjustments, 3 image processing techniques (linear registration, histogram normalization, and contrast-limited adaptive histogram equalization), and 11 binarization thresholding methods were independently applied. Vessel area density (VAD) and vessel length were calculated for retinal vascular images. Choriocapillaris (CC) images were quantified for VAD and flow deficit metrics. Repeatability, measured using the intra-class correlation coefficient, was inconsistent and generally not high (ICC < 0.8) across binarization thresholds, devices, and plexuses. In retinal vascular images, local thresholds tended to incorrectly binarize the foveal avascular zone as white (i.e., wrongly indicating flow). No image processing technique analyzed consistently resulted in highly repeatable metrics. Across contrast changes, retinal vascular images showed the lowest repeatability and CC images showed the highest. Nature Publishing Group UK 2020-09-21 /pmc/articles/PMC7505834/ /pubmed/32958813 http://dx.doi.org/10.1038/s41598-020-72358-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Mehta, Nihaal Braun, Phillip X. Gendelman, Isaac Alibhai, A. Yasin Arya, Malvika Duker, Jay S. Waheed, Nadia K. Repeatability of binarization thresholding methods for optical coherence tomography angiography image quantification |
title | Repeatability of binarization thresholding methods for optical coherence tomography angiography image quantification |
title_full | Repeatability of binarization thresholding methods for optical coherence tomography angiography image quantification |
title_fullStr | Repeatability of binarization thresholding methods for optical coherence tomography angiography image quantification |
title_full_unstemmed | Repeatability of binarization thresholding methods for optical coherence tomography angiography image quantification |
title_short | Repeatability of binarization thresholding methods for optical coherence tomography angiography image quantification |
title_sort | repeatability of binarization thresholding methods for optical coherence tomography angiography image quantification |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505834/ https://www.ncbi.nlm.nih.gov/pubmed/32958813 http://dx.doi.org/10.1038/s41598-020-72358-z |
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