Retinal blood vessels can give information about abnormalities or disease by examining its pathological changes. One abnormality is diabetic retinopathy, characterized by a disorder of retinal blood vessels resulting from diabetes mellitus. Currently, diabetic retinopathy is one of the major causes of human vision abnormalities and blindness. Hence, early detection can lead to proper treatment,...

To consider whether imaging retinal vasculature may be used as a marker for cortical vessels, we compared fluorescein angiography flow dynamics before and after pharmacological disruption of blood-neural barriers. Sodium fluorescein (1%, 200 μl/kg) was intravenously delivered in anesthetized adult Long Evans rats (n = 44, brain = 18, retina = 26). In the brain cohort, a cranial window was creat...

Segmentation of blood vessels in retinal images is an important part in retinal image analysis for diagnosis and treatment of eye diseases for large screening systems. In this paper, we addressed the problem of background and noise extraction from retinal images. Blood vessels usually have central light reflex and poor local contrast, hence the results yield by blood vessel segmentation algorit...

The appearance of retinal blood vessels is an important diagnostic indicator of serious disease, such as hypertension, diabetes, cardiovascular disease, and stroke. Automatic segmentation of the retinal vasculature is a primary step towards automatic assessment of the retinal blood vessel features. This paper presents an automated method for the enhancement and segmentation of blood vessels in ...

Diabetic retinopathy, Glaucoma, Hypertension are the most common sight threatening eye diseases due to the changes in the blood vessel structure. The retinal blood vessel segmentation helps to identify the successive stages of a these diseases and thus helps to treat them at early stages. Blood vessel segmentation by making use of multilayer perceptron neural network is one such technique used ...

Identification of Retinal Blood Vessel is much required for detecting vision capacity, Diabetic retinopathy, and also cardiovascular diseases like ophthalmic pathologies, hypertension. This work examines the blood vessel segmentation methodology in two dimensional retinal images acquired from a fundus camera. Many deduction methods are available but the results are not satisfactory. The measure...

A family with a benign form of fleck retina is described. Seven out of 10 siblings were affected. The consanguinious parents were both normal. The fundi were massively invaded by lesions which appeared as discrete, bright white or yellow flecks situated well behind the retinal blood vessels. The macula was always free. Fluorescein studies revealed a healthy macula and retinal and choroidal bloo...

BACKGROUND Color Doppler optical coherence tomography (CDOCT) combines laser Doppler velocimetry and optical coherence tomography for simultaneous micron-scale resolution cross-sectional imaging of tissue microstructure and blood flow. Recently, CDOCT was adapted to a slitlamp biomicroscope for imaging structure and blood flow in the human retina. OBJECTIVE To demonstrate feasibility of CDOCT...

An automated blood vessel extraction using high-order local autocorrelation (HLAC) on retinal images is presented. Although many blood vessel extraction methods based on contrast have been proposed, a technique based on the relation of neighbor pixels has not been published. HLAC features are shift-invariant; therefore, we applied HLAC features to retinal images. However, HLAC features are weak...

is the winner of the second prize in the recent Olympus–Current Biology photomicrography competition. The retina has been flat-mounted and stained by indirect immunofluorescence to reveal astrocytes (green) and blood vessels (orange/yellow) that are tightly associated with each other, forming a fine network over the retinal surface. Astrocytes (a type of glial cell) are critical for the develop...