Measurement of Arterio-Venous Ratio for Detection of Hypertensive Retinopathy through Digital Color Fundus Images

Rani, Anju; Mittal, Dr.Deepti

doi:10.14738/jbemi.25.1577

Cited by 6 publications

(5 citation statements)

References 24 publications

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“…The AVR calculation is carried on six largest vessels within the RoI of 0.5 DD to 1 DD. Rani and Mittal [20] classified blood vessels as arteries and veins with a new feature vector. Their experimentation is carried on both VICAVR and DRIVE datasets.…”

Section: Introductionmentioning

confidence: 99%

Quantification of retinal artery-vein ratio for vascular disease diagnosis using spatial U-Net

Pampana

Rayudu

2022

IJEECS

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The retinal <span>vascular morphological caliber changes reveal the signs of systemic health disorder and life threat diseases such as cardio and cerebral diseases. The quantitative vascular parameters like narrowed arteries, widened venules, reduced artery-vein ratio (AVR) have been associated with aforesaid disorders and diseases. Hence the quantitative biomarker AVR is important parameter in diagnosing variety of diseases. The accurate quantification of AVR be possible if and only if accurate classification of arteries and vein is done. In this paper, we proposed a deep learning based robust vessel segmentation and classification algorithm based on spatial <br /> U-Net and the accuracy of the algorithm is 97.8%. In the quantification process, this algorithm is applied on region of interest (RoI) of a fundus image and measured the AVR values using central retinal artery equivalent (CRAE) and central retinal vein equivalent (CRVE). The experimentation is carried on the digital retinal images for vessel extraction (DRIVE) dataset. The outcome of this work is the AVR observed to be >0.4 in normal retinal case and AVR value <0.4 for unhealthy case.</span>

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Section: Introductionmentioning

confidence: 99%

Quantification of retinal artery-vein ratio for vascular disease diagnosis using spatial U-Net

Pampana

Rayudu

2022

IJEECS

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“…Retinal vessel diameter is expressed as arteriovenous ratio (AVR). According to the Keith–Wagener–Barker classification, AVR values of less than 0.66 reflect hypertensive retinopathy [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…Arteriolar narrowing is associated with more severe coronary heart disease, stroke, and mortality [ 6 , 7 , 8 , 9 ]. There has also been a recent increase in evidence showing that retinal arteriolar narrowing, retinal venular widening, and a suboptimal retinal vascular network are associated with poorer cognitive performance [ 10 , 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Automated Systems for Calculating Arteriovenous Ratio in Retinographies: A Scoping Review

et al. 2022

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There is evidence of an association between hypertension and retinal arteriolar narrowing. Manual measurement of retinal vessels comes with additional variability, which can be eliminated using automated software. This scoping review aims to summarize research on automated retinal vessel analysis systems. Searches were performed on Medline, Scopus, and Cochrane to find studies examining automated systems for the diagnosis of retinal vascular alterations caused by hypertension using the following keywords: diagnosis; diagnostic screening programs; image processing, computer-assisted; artificial intelligence; electronic data processing; hypertensive retinopathy; hypertension; retinal vessels; arteriovenous ratio and retinal image analysis. The searches generated 433 articles. Of these, 25 articles published from 2010 to 2022 were included in the review. The retinographies analyzed were extracted from international databases and real scenarios. Automated systems to detect alterations in the retinal vasculature are being introduced into clinical practice for diagnosis in ophthalmology and other medical specialties due to the association of such changes with various diseases. These systems make the classification of hypertensive retinopathy and cardiovascular risk more reliable. They also make it possible for diagnosis to be performed in primary care, thus optimizing ophthalmological visits.

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“…3,4 However, traditional fundus photography only works for major vessel branches due to the image resolution and contrast limits. Because many of systemic diseases are related to microvascular abnormalities, [5][6][7][8][9] it is important to classify the arteries and veins in retinal microvascular networks, particularly for the macular region.…”

Section: Introductionmentioning

confidence: 99%

Near infrared oximetry-guided artery–vein classification in optical coherence tomography angiography

Son

Alam

Kim

et al. 2019

Exp Biol Med (Maywood)

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Differential artery–vein analysis is valuable for early detection of diabetic retinopathy and other eye diseases. As a new optical coherence tomography imaging modality, optical coherence tomography angiography provides capillary level resolution for accurate examination of retinal vasculatures. However, differential artery–vein analysis in optical coherence tomography angiography particularly for macular region in which blood vessels are small is challenging. In coordination with an automatic vessel tracking algorithm, we report here the feasibility of using near infrared optical coherence tomography oximetry to guide artery–vein classification in optical coherence tomography angiography of macular region. Impact statement It is known that arteries and veins can be affected by retinal diseases differently. Therefore, quantitative artery–vein analysis holds the promise for better disease detection and treatment evaluation. However, clinical optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) instruments lack the function of differential artery–vein analysis. Here, we report the feasibility of near infrared OCT oximetry-guided artery–vein classification in OCTA. Because the OCT and OCTA are naturally captured from the same instrument simultaneously, the presented method is feasible for practical deployment of differential artery–vein analysis in OCTA.

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Measurement of Arterio-Venous Ratio for Detection of Hypertensive Retinopathy through Digital Color Fundus Images

Cited by 6 publications

References 24 publications

Quantification of retinal artery-vein ratio for vascular disease diagnosis using spatial U-Net

Quantification of retinal artery-vein ratio for vascular disease diagnosis using spatial U-Net

Automated Systems for Calculating Arteriovenous Ratio in Retinographies: A Scoping Review

Near infrared oximetry-guided artery–vein classification in optical coherence tomography angiography

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