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Updated: Feb 4, 2026

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT
Published on: August 4, 2018
Estimation of Diabetic Retinal Microaneurysm Perfusion Parameters Based on Computational Fluid Dynamics Modeling of
Miguel O Bernabeu1, Yang Lu2, Omar Abu-Qamar2
1Centre for Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh, United Kingdom.
Abstract:
Diabetic retinopathy (DR) is a leading cause of vision loss worldwide. Microaneurysms (MAs), which are abnormal outpouchings of the retinal vessels, are early and hallmark lesions of DR. The presence and severity of MAs are utilized to determine overall DR severity. In addition, MAs can directly contribute to retinal neural pathology by leaking fluid into the surrounding retina, causing abnormal central retinal thickening and thereby frequently leading to vision loss. Vascular perfusion parameters such as shear rate (SR) or wall shear stress (WSS) have been linked to blood clotting and endothelial cell dysfunction, respectively in non-retinal vasculature. However, despite the importance of MAs as a key aspect of diabetic retinal pathology, much remains unknown as to how structural characteristics of individual MAs are associated with these perfusion attributes. MA structural information obtained on high resolution adaptive optics scanning laser ophthalmoscopy (AOSLO) was utilized to estimate perfusion parameters through Computational Fluid Dynamics (CFD) analysis of the AOSLO images. The HemeLB flow solver was used to simulate steady-state and time-dependent fluid flow using both commodity hospital-based and high performance computing resources, depending on the degree of detail required in the simulations. Our results indicate that WSS is lowest in MA regions furthest away from the feeding vessels. Furthermore, areas of low SR are associated with clot location in saccular MAs. These findings suggest that morphology and CFD estimation of perfusion parameters may be useful tools for determining the likelihood of clot presence in individual diabetic MAs.
Insights
Diabetic retinopathy (DR) microaneurysms (MAs) structural features correlate with blood flow dynamics. Computational Fluid Dynamics (CFD) analysis of MA morphology can predict clot likelihood, aiding DR management.
Area of Science:
- Ophthalmology
- Biomedical Engineering
- Computational Science
Background:
- Diabetic retinopathy (DR) is a major cause of vision loss, with microaneurysms (MAs) being early indicators.
- MA leakage contributes to retinal thickening and vision impairment.
- Perfusion parameters like shear rate (SR) and wall shear stress (WSS) are crucial in vascular health but their relation to MAs is unclear.
Purpose of the Study:
- To investigate the association between microaneurysm (MA) structural characteristics and vascular perfusion parameters.
- To explore the utility of Computational Fluid Dynamics (CFD) in analyzing MA morphology and estimating perfusion attributes.
Main Methods:
- High-resolution adaptive optics scanning laser ophthalmoscopy (AOSLO) images were used to obtain MA structural data.
- Computational Fluid Dynamics (CFD) simulations, utilizing the HemeLB flow solver, were performed on AOSLO-derived MA models.
- Simulations were run on both hospital-based and high-performance computing resources.
Main Results:
- Wall shear stress (WSS) was found to be lowest in MA regions distant from feeding vessels.
- Low shear rate (SR) areas correlated with clot location in saccular MAs.
- MA morphology and CFD-derived perfusion parameters show potential for predicting clot presence.
Conclusions:
- The structural features of diabetic retinopathy microaneurysms are linked to specific vascular perfusion parameters.
- CFD analysis of MA morphology offers a promising method for estimating perfusion and predicting clot formation.
- These findings may enhance the assessment of DR severity and patient risk stratification.
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