Novel Computerized Method for Measurement of Retinal Vessel Diameters

Guedri, Hichem; Abdallah, Mariem Ben; Echouchene, Fraj; Belmabrouk, Hafedh

doi:10.3390/biomedicines5020012

Cited by 12 publications

(7 citation statements)

References 42 publications

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“…Guedri и соавт. при изучении диаметра сосудов при гипертонической ретинопатии использовали новейший компьютерный метод [6]. Суть исследования состоит в том, что измеряется диаметр кровеносного сосуда в изображении сетчатки.…”

Section: актуальность и распространенностьunclassified

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Modern Aspects of Hypertensive Angioretinopathy

Lk¹,

Воробьева²,

Dgebuadze³

2019

Oftalʹmologiâ

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This literature review is devoted to modern problems of hypertensive retinopathy with arterial hypertension, as well as hypertensive retinopathy in combination diseases. The latest world studies were analyzed. Particular attention is paid to the clinical disease characteristics at the present stage with the analysis of the arterio-venous ratio, optic nerve edema (with high blood pressure figures) using an automated system, vector analysis, suggesting a new arteriovenous classification, called Web Integration (Wivern). The modern pathogenesis of hypertensive retinopathy, namely the ratio of proangiogenic and anti-angiogenic factors, the role of inflammation (C-reactive protein), the role of endothelin-1, endostatin, interleukin-8 (IL-8), and the main fibroblast growth factor (bFGF ), angiogenin and uric acid. The special importance of fundus registration is reflected with the help of the newest equipment at high figures of arterial pressure in patients with hypertensive retinopathy. It is known that according to the World Health Organization (WHO), mortality rate from cardiovascular diseases is 31 %. Hypertension is the main risk factor for coronary heart disease, myocardial infarction, heart failure, stroke, kidney disease and early death. Questions of eye blood flow in hypertensive angioretinopathy in patients with arterial hypertension (AH) are covered. Hypertensive retinopathy (HR) is a retinal disease that is caused by a prolonged increase blood pressure (BP) and leads to a decrease in vision. The data of pathophysiology are analyzed (arterial hypertension (AH) leads to thickening of the vessels of the inner membrane (intima), to thickening of the medial membrane (media) — hyperplasia of the muscular tissue followed by hyaline degeneration with the development of sclerotic changes). The questions of modern diagnostics with retinal morphological status evaluation (OCT), detection of eye fundus condition with newest fundus camers, pathogenetic aspects are discussed. This review will help to prevent the development of more severe forms of hypertensive retinopathy. This information will allow us to identify the most significant indicators in the early diagnosis of hypertension angioretinopathy.

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Section: актуальность и распространенностьunclassified

“…Затем определяют контуры сосуда. Формула Херона применяется для обеспечения расчета диаметра сосуда [6].…”

Section: актуальность и распространенностьunclassified

Modern Aspects of Hypertensive Angioretinopathy

Lk¹,

Воробьева²,

Dgebuadze³

2019

Oftalʹmologiâ

View full text Add to dashboard Cite

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“…The study of [ 23 ] proposed a graph-theoretic algorithm for measuring the vessel width. The work in [ 20 ] measures the blood vessel diameter based on thresholding segmentation and training step determining the characteristic point using Douglas-Peucker algorithm. The work in [ 20 ] detected vessel contour using active contour and measured vessel diameter using Heron's formula.…”

Section: Image Processing-based Blood Vessel Diameter Measurement mentioning

confidence: 99%

“…Many techniques have been developed using image processing principle to measure the vessel diameter of retinal microvasculature. Suppose some of the available vessel diameter measurement techniques are based on Linear Discriminant Analysis (LDA), image gradient segmentation technique (ARG) for vessel edge detection, using active contour [ 20 – 22 ], mask creation [ 20 ], graph-theoretic method [ 23 , 24 ] Multistep Regression Method (Higher order Gaussian modeling) [ 25 ], Adaptive Higuchi's Dimension [ 26 ], and so on.…”

Section: Introductionmentioning

confidence: 99%

A Review on the Extraction of Quantitative Retinal Microvascular Image Feature

Kipli

Hoque

Lim

et al. 2018

Computational and Mathematical Methods in Medicine

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Digital image processing is one of the most widely used computer vision technologies in biomedical engineering. In the present modern ophthalmological practice, biomarkers analysis through digital fundus image processing analysis greatly contributes to vision science. This further facilitates developments in medical imaging, enabling this robust technology to attain extensive scopes in biomedical engineering platform. Various diagnostic techniques are used to analyze retinal microvasculature image to enable geometric features measurements such as vessel tortuosity, branching angles, branching coefficient, vessel diameter, and fractal dimension. These extracted markers or characterized fundus digital image features provide insights and relates quantitative retinal vascular topography abnormalities to various pathologies such as diabetic retinopathy, macular degeneration, hypertensive retinopathy, transient ischemic attack, neovascular glaucoma, and cardiovascular diseases. Apart from that, this noninvasive research tool is automated, allowing it to be used in large-scale screening programs, and all are described in this present review paper. This paper will also review recent research on the image processing-based extraction techniques of the quantitative retinal microvascular feature. It mainly focuses on features associated with the early symptom of transient ischemic attack or sharp stroke.

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“…The manual steps are slow, which may be subjected to a bias of the perceiver. Author presents this paper to investigate a new method for measuring the blood vessel diameter in the retinal image [1]. Diabetic Retinopathy, which is one of the primary root of visual death and visual impairment in middle aged patient.…”

Section: Introductionmentioning

confidence: 99%

Fundus Blood Vessels Extraction Using Digital Image Processing Techniques

Gaikwad¹,

Manza²

2017

IJERT

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Abstract-Diabetic retinopathy is major eye complications produced by the diabetes mellitus, which causes other problems such as stroke, cardiovascular disease, diabetic nephropathy and diabetic neuropathy. Diabetic retinopathy consequences in visual conflicts and can lead to permanent blindness. Therefore, a regular diabetic retinopathy screening is essential for early treatment, along with an effective risk factor management to overcome the diabetic complications and reduce morbidity and mortality influence. In this paper we perform the digital image processing techniques to extract the retinal blood vessels. This algorithm is tested on STARE database.

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Novel Computerized Method for Measurement of Retinal Vessel Diameters

Cited by 12 publications

References 42 publications

Modern Aspects of Hypertensive Angioretinopathy

Modern Aspects of Hypertensive Angioretinopathy

A Review on the Extraction of Quantitative Retinal Microvascular Image Feature

Fundus Blood Vessels Extraction Using Digital Image Processing Techniques

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