Computational fluid dynamics assisted characterization of parafoveal hemodynamics in normal and diabetic eyes using adaptive optics scanning laser ophthalmoscopy

Bernabéu, Miguel O.; Lammer, Jan; Cai, Charles C; Jones, Martin L.; Franco, Cláudio A.; Aiello, Lloyd Paul; Sun, Jennifer K.

doi:10.1364/boe.7.004958

Cited by 23 publications

(14 citation statements)

References 39 publications

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“…The flow of leukocytes in individual capillaries and the flow in the perifeoveal capillaries has been reported 86,87 in which velocities between 0 and 1.2mm/sec were measured. By using a combination of scanning AOO and computational fluid dynamics analysis, it has been shown that wall shear stress can be estimated in vivo in human perifoveal capillaries 88 .…”

Section: Normal Vesselsmentioning

confidence: 99%

Adaptive optics ophthalmoscopy: Application to age-related macular degeneration and vascular diseases

Pâques

Meimon

Rossant

et al. 2018

Progress in Retinal and Eye Research

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Adaptive optics (AO)-enhanced en face retinal imaging, termed here AO ophthalmoscopy (AOO) has reached a level of robustness which fuels its increasing use in research and clinical centers. Here we will review the contribution of clinical AOO to the understanding and monitoring of 1) age-related macular degeneration and 2) vascular diseases. The main contributions of AOO to the phenotyping of AMD are a better identification of drusen, a better delineation of the limits of atrophy, and the identification of novel features such as punctate hyperreflectivity and mobile melanin-containing clumps. Characterization of progression of atrophy is facilitated by time-lapse imaging. In vessels, AOO enables the observation and measurement of parietal structures and the observation of microscopic pathological features such as small hemorrhages and inflammatory cell accumulations.

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Section: Normal Vesselsmentioning

confidence: 99%

Adaptive optics ophthalmoscopy: Application to age-related macular degeneration and vascular diseases

Pâques

Meimon

Rossant

et al. 2018

Progress in Retinal and Eye Research

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“…In a recent study, we demonstrated the feasibility of computational fluid dynamics (CFD) analysis to characterize the hemodynamic environment of the diabetic eye (Lu et al, 2016 ). Comparable approaches have been extensively used for the characterization of larger scale vascular lesions, such as intracranial aneurysms (IA) (Dhar et al, 2008 ; Chien et al, 2011 ).…”

Section: Introductionmentioning

confidence: 99%

Estimation of Diabetic Retinal Microaneurysm Perfusion Parameters Based on Computational Fluid Dynamics Modeling of Adaptive Optics Scanning Laser Ophthalmoscopy

Bernabéu

Abu-Qamar

et al. 2018

Front. Physiol.

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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.

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“…Our method is based on patient-specific graph representations of the arterial network that are used as the topological vascular substrate to build 0D models, which account for the steady, incompressible flow of a non Newtonian fluid (the blood) in rigid domains. Although simpler than fully 3D [5] or 2D [6] blood flow models, 0D models (also known as lumped parameter models) are computationally cheaper and, thus, enable the simulation of blood flow in large networks of vessels [7]. Similar modeling approaches have been used before in the context of retinal hemodynamics simulation.…”

Section: Introductionmentioning

confidence: 99%

Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus Images

Orlando

Breda

Keer

et al. 2018

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

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Glaucoma is the leading cause of irreversible but preventable blindness in the world. Its major treatable risk factor is the intra-ocular pressure, although other biomarkers are being explored to improve the understanding of the pathophysiology of the disease. It has been recently observed that glaucoma induces changes in the ocular hemodynamics. However, its effects on the functional behavior of the retinal arterioles have not been studied yet. In this paper we propose a first approach for characterizing those changes using computational hemodynamics. The retinal blood flow is simulated using a 0D model for a steady, incompressible non Newtonian fluid in rigid domains. The simulation is performed on patient-specific arterial trees extracted from fundus images. We also propose a novel feature representation technique to comprise the outcomes of the simulation stage into a fixed length feature vector that can be used for classification studies. Our experiments on a new database of fundus images show that our approach is able to capture representative changes in the hemodynamics of glaucomatous patients. Code and data are publicly available in https://ignaciorlando.github.io.

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Computational fluid dynamics assisted characterization of parafoveal hemodynamics in normal and diabetic eyes using adaptive optics scanning laser ophthalmoscopy

Cited by 23 publications

References 39 publications

Adaptive optics ophthalmoscopy: Application to age-related macular degeneration and vascular diseases

Adaptive optics ophthalmoscopy: Application to age-related macular degeneration and vascular diseases

Estimation of Diabetic Retinal Microaneurysm Perfusion Parameters Based on Computational Fluid Dynamics Modeling of Adaptive Optics Scanning Laser Ophthalmoscopy

Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus Images

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