Towards standardising retinal OCT angiography image analysis with open-source toolbox OCTAVA Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1038/s41598-024-53501-6
Quantitative assessment of retinal microvasculature in optical coherence tomography angiography (OCTA) images is important for studying, diagnosing, monitoring, and guiding the treatment of ocular and systemic diseases. However, the OCTA user community lacks universal and transparent image analysis tools that can be applied to images from a range of OCTA instruments and provide reliable and consistent microvascular metrics from diverse datasets. We present a retinal extension to the OCTA Vascular Analyser (OCTAVA) that addresses the challenges of providing robust, easy-to-use, and transparent analysis of retinal OCTA images. OCTAVA is a user-friendly, open-source toolbox that can analyse retinal OCTA images from various instruments. The toolbox delivers seven microvascular metrics for the whole image or subregions and six metrics characterising the foveal avascular zone. We validate OCTAVA using images collected by four commercial OCTA instruments demonstrating robust performance across datasets from different instruments acquired at different sites from different study cohorts. We show that OCTAVA delivers values for retinal microvascular metrics comparable to the literature and reduces their variation between studies compared to their commercial equivalents. By making OCTAVA publicly available, we aim to expand standardised research and thereby improve the reproducibility of quantitative analysis of retinal microvascular imaging. Such improvements will help to better identify more reliable and sensitive biomarkers of ocular and systemic diseases.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-024-53501-6
- https://www.nature.com/articles/s41598-024-53501-6.pdf
- OA Status
- gold
- Cited By
- 19
- References
- 59
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392683482
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4392683482Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-024-53501-6Digital Object Identifier
- Title
-
Towards standardising retinal OCT angiography image analysis with open-source toolbox OCTAVAWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-12Full publication date if available
- Authors
-
Gavrielle R. Untracht, Madeleine S. Durkee, Mei Zhao, Andrew Lam, Bartosz L. Sikorski, Marinko V. Šarunic, Peter E. Andersen, David D. Sampson, Fred K. Chen, Danuta M. SampsonList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-024-53501-6Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-024-53501-6.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s41598-024-53501-6.pdfDirect OA link when available
- Concepts
-
Toolbox, Computer science, Retinal, Optical coherence tomography angiography, Foveal avascular zone, Artificial intelligence, Ophthalmology, Medicine, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
19Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 14, 2024: 5Per-year citation counts (last 5 years)
- References (count)
-
59Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.using | 126 |
| abstract_inverted_index.whole | 111 |
| abstract_inverted_index.zone. | 122 |
| abstract_inverted_index.(OCTA) | 11 |
| abstract_inverted_index.OCTAVA | 88, 125, 153, 177 |
| abstract_inverted_index.across | 137 |
| abstract_inverted_index.better | 203 |
| abstract_inverted_index.expand | 183 |
| abstract_inverted_index.foveal | 120 |
| abstract_inverted_index.images | 12, 45, 99, 127 |
| abstract_inverted_index.making | 176 |
| abstract_inverted_index.ocular | 24, 211 |
| abstract_inverted_index.robust | 135 |
| abstract_inverted_index.values | 155 |
| abstract_inverted_index.analyse | 96 |
| abstract_inverted_index.applied | 43 |
| abstract_inverted_index.between | 168 |
| abstract_inverted_index.diverse | 60 |
| abstract_inverted_index.guiding | 20 |
| abstract_inverted_index.images. | 87 |
| abstract_inverted_index.improve | 188 |
| abstract_inverted_index.metrics | 58, 108, 117, 159 |
| abstract_inverted_index.optical | 7 |
| abstract_inverted_index.present | 63 |
| abstract_inverted_index.provide | 53 |
| abstract_inverted_index.reduces | 165 |
| abstract_inverted_index.retinal | 4, 65, 85, 97, 157, 195 |
| abstract_inverted_index.robust, | 79 |
| abstract_inverted_index.studies | 169 |
| abstract_inverted_index.thereby | 187 |
| abstract_inverted_index.toolbox | 93, 104 |
| abstract_inverted_index.various | 101 |
| abstract_inverted_index.(OCTAVA) | 72 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Analyser | 71 |
| abstract_inverted_index.However, | 28 |
| abstract_inverted_index.Vascular | 70 |
| abstract_inverted_index.acquired | 142 |
| abstract_inverted_index.analysis | 38, 83, 193 |
| abstract_inverted_index.cohorts. | 149 |
| abstract_inverted_index.compared | 170 |
| abstract_inverted_index.datasets | 138 |
| abstract_inverted_index.delivers | 105, 154 |
| abstract_inverted_index.identify | 204 |
| abstract_inverted_index.imaging. | 197 |
| abstract_inverted_index.publicly | 178 |
| abstract_inverted_index.reliable | 54, 206 |
| abstract_inverted_index.research | 185 |
| abstract_inverted_index.systemic | 26, 213 |
| abstract_inverted_index.validate | 124 |
| abstract_inverted_index.addresses | 74 |
| abstract_inverted_index.avascular | 121 |
| abstract_inverted_index.coherence | 8 |
| abstract_inverted_index.collected | 128 |
| abstract_inverted_index.community | 32 |
| abstract_inverted_index.datasets. | 61 |
| abstract_inverted_index.different | 140, 144, 147 |
| abstract_inverted_index.diseases. | 27, 214 |
| abstract_inverted_index.extension | 66 |
| abstract_inverted_index.important | 14 |
| abstract_inverted_index.providing | 78 |
| abstract_inverted_index.sensitive | 208 |
| abstract_inverted_index.studying, | 16 |
| abstract_inverted_index.treatment | 22 |
| abstract_inverted_index.universal | 34 |
| abstract_inverted_index.variation | 167 |
| abstract_inverted_index.assessment | 2 |
| abstract_inverted_index.available, | 179 |
| abstract_inverted_index.biomarkers | 209 |
| abstract_inverted_index.challenges | 76 |
| abstract_inverted_index.commercial | 131, 173 |
| abstract_inverted_index.comparable | 160 |
| abstract_inverted_index.consistent | 56 |
| abstract_inverted_index.literature | 163 |
| abstract_inverted_index.subregions | 114 |
| abstract_inverted_index.tomography | 9 |
| abstract_inverted_index.angiography | 10 |
| abstract_inverted_index.diagnosing, | 17 |
| abstract_inverted_index.instruments | 51, 133, 141 |
| abstract_inverted_index.monitoring, | 18 |
| abstract_inverted_index.open-source | 92 |
| abstract_inverted_index.performance | 136 |
| abstract_inverted_index.transparent | 36, 82 |
| abstract_inverted_index.Quantitative | 1 |
| abstract_inverted_index.easy-to-use, | 80 |
| abstract_inverted_index.equivalents. | 174 |
| abstract_inverted_index.improvements | 199 |
| abstract_inverted_index.instruments. | 102 |
| abstract_inverted_index.quantitative | 192 |
| abstract_inverted_index.standardised | 184 |
| abstract_inverted_index.demonstrating | 134 |
| abstract_inverted_index.microvascular | 57, 107, 158, 196 |
| abstract_inverted_index.characterising | 118 |
| abstract_inverted_index.user-friendly, | 91 |
| abstract_inverted_index.reproducibility | 190 |
| abstract_inverted_index.microvasculature | 5 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 98 |
| corresponding_author_ids | https://openalex.org/A5010159588 |
| countries_distinct_count | 6 |
| institutions_distinct_count | 10 |
| corresponding_institution_ids | https://openalex.org/I177877127 |
| citation_normalized_percentile.value | 0.98683834 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |