ArticleBiomedical optics express2024
OCTA-ReVA: an open-source toolbox for comprehensive retinal vessel feature analysis in optical coherence tomography angiography.
Article in Biomedical optics express, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Vis-OCT Explorer: an open-source software for visible-light optical coherence tomography data processing.Biomedical optics express · 2026Article
- Longitudinal Assessment of Vascularity in Actinic Keratosis Using Dynamic Optical Coherence Tomography: Practical Considerations and Theoretical Insights.Journal of biophotonics · 2026Article
- OCTA-ReVABiomedical optics express · 2025Article
- LRNet: Link Residual Neural Network for Blood Vessel Segmentation in OCTA Images.Journal of imaging informatics in medicine · 2025Article
- Deep learning segmentation of periarterial and perivenous capillary-free zones in optical coherence tomography angiography.Journal of biomedical optics · 2025Article
- OCTA-ReVA: an open-source toolbox for comprehensive retinal vessel feature analysis in optical coherence tomography angiography.Biomedical optics express · 2024Article
- Quantitative optical coherence tomography angiography biomarkers of the choriocapillaris for objective detection of early diabetic retinopathy.Taiwan journal of ophthalmologyArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Optical coherence tomography angiography (OCTA) has significantly advanced the study and diagnosis of eye diseases. However, current clinical OCTA systems and software tools lack comprehensive quantitative analysis capabilities, limiting their full clinical utility. This paper introduces the OCTA Retinal Vessel Analyzer (OCTA-ReVA), a versatile open-source platform featuring a user-friendly graphical interface designed for the automated extraction and quantitative analysis of OCTA features. OCTA-ReVA includes traditional established OCTA features based on binary vascular image processing, such as blood vessel density (BVD), foveal avascular zone area (FAZ-A), blood vessel tortuosity (BVT), and blood vessel caliber (BVC). Additionally, it introduces new features based on blood perfusion intensity processing, such as perfusion intensity density (PID), vessel area flux (VAF), and normalized blood flow index (NBFI), which provide deeper insights into retinal perfusion conditions. These additional capabilities are crucial for the early detection and monitoring of retinal diseases. OCTA-ReVA demystifies the intricate task of retinal vasculature quantification, offering a robust tool for researchers and clinicians to objectively evaluate eye diseases and enhance the precision of retinal health assessments.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.