ArticleIEEE transactions on medical imaging2016
Automated Assessment of Hemodynamics in the Conjunctival Microvasculature Network.
Article in IEEE transactions on medical imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 33 citations in OpenAlex.
- Conjunctival Venular Hemodynamic Biomarkers in Glaucoma.Translational vision science & technology · 2025Article
- Identifying diabetes from conjunctival images using a novel hierarchical multi-task network.Scientific reports · 2022Article
- Image-Based Experimental Measurement Techniques to Characterize Velocity Fields in Blood Microflows.Frontiers in physiology · 2022Review
- Article
- Quantification of Blood Flow Velocity in the Human Conjunctival Microvessels Using Deep Learning-Based Stabilization Algorithm.Sensors (Basel, Switzerland) · 2021Article
- Assessment of the conjunctival microcirculation for patients presenting with acute myocardial infarction compared to healthy controls.Scientific reports · 2021Article
- Repeatability of ocular surface vessel density measurements with optical coherence tomography angiography.BMC ophthalmology · 2019Article
- Functional slit lamp biomicroscopy metrics correlate with cardiovascular risk.The ocular surface · 2019Article
- Inter-visit variability of conjunctival microvascular hemodynamic measurements in healthy and diabetic retinopathy subjects.Microvascular research · 2018Article
- Assessment of Conjunctival Microvascular Hemodynamics in Stages of Diabetic Microvasculopathy.Scientific reports · 2017Article
- Paradigm Shifts in Ophthalmic Diagnostics.Transactions of the American Ophthalmological Society · 2016Review
- Automated fine structure image analysis method for discrimination of diabetic retinopathy stage using conjunctival microvasculature images.Biomedical optics express · 2016Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
The conjunctival microcirculation is accessible for direct visualization and quantitative assessment of microvascular hemodynamic properties. Currently available methods to assess hemodynamics in the conjunctival microvasculature use manual or semi-automated algorithms, which can be inefficient for application to a large number of microvessels within the microvascular network. We present an automated image analysis method for measurements of diameter and blood velocity in microvessels. The method was applied to conjunctival microcirculation images acquired in 15 healthy human subjects. Frangi filtering, thresholding, and morphological closing were applied to automatically segment microvessels, while variance filtering was used to detect blood flow. Diameter and blood velocity were measured in arterioles and venules within the conjunctival microvascular network, and blood flow and wall shear rate were calculated. Repeatability and validity of hemodynamic measurements were established. The automated image analysis method allows reliable, rapid and quantitative assessment of hemodynamics in the conjunctival microvascular network and can be potentially applied to microcirculation images of other tissues.
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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.