PURPOSE To investigate the optical intensities of all retinal layers on three-dimensional (3D) spectral-domain optical coherence tomography (SD-OCT) in normal subjects using an automatic measurement. METHODS Forty normal subjects underwent Topcon 3D OCT-1000 macula-centered scan. The raw data were automatically segmented into 10 layers using the 3D graph search approach. Then the mean and sta...

PURPOSE To determine, with novel software, the feasibility of measuring the tortuosity and width of retinal veins and arteries from digital retinal images of infants at risk of retinopathy of prematurity (ROP). METHODS The Computer-Aided Image Analysis of the Retina (CAIAR) program was developed to enable semiautomatic detection of retinal vasculature and measurement of vessel tortuosity and ...

Retinal image analysis is an active field of research for identifying different types of diseases that affect the Retina. The extraction and analysis of retinal vasculature is an essential part of several practical applications such as detection of hypertension, Diabetic Retinopathy, stroke and cardiovascular diseases that affects eye. The proposed method consists of four stages: In the first s...

PURPOSE Using M-CHARTS (Inami Co., Tokyo, Japan), which were developed by the authors to measure metamorphopsia, and image-analysis software, which was developed to quantify retinal contraction, the authors investigated the relationship between the degree of retinal contraction and the degree of metamorphopsia in eyes with idiopathic epiretinal membrane (ERM). METHODS This study was conducted...

Retinal image analysis has remained an essential topic of research in the last decades. Several algorithms and techniques have been developed for retinal images. Most these use benchmark datasets to evaluate performance without first exploring quality image. Hence, metrics evaluated by approaches are uncertain. In this paper, images is selected utilizing hybrid naturalness evaluator perception-...

With the advances in the computer field, methods and techniques in automatic image processing and analysis provide the opportunity to detect automatically the change and degeneration in retinal images. Localization of the optic disc is extremely important for determining the hard exudate lesions or neovascularization, which is the later phase of diabetic retinopathy, in computer aided eye disea...

Introduction: Diabetic retinopathy (DR) is one of the most serious and most frequent eye diseases in the world and the most common cause of blindness in adults between 20 and 60 years of age. Following 15 years of diabetes, about 2% of the diabetic patients are blind and 10% suffer from vision impairment due to DR complications. This paper addresses the automatic detection of microaneurysms (MA...