Jan 2, 2025 · We aim to explore the potential of texture analysis of optical coherence tomography (OCT) retinal images in detecting retinal changes in streptozotocin (STZ)-induced diabetic animals at "silent" disease stages when early retinal molecular and cellular changes that cannot be clinically detectable are already occurring.

We aim to explore the potential of texture analysis of optical coherence tomography (OCT) retinal images in detecting retinal changes in streptozotocin (STZ)-induced diabetic animals at “silent” disease stages when early retinal molecular and cellular changes that cannot be clinically detectable are already occurring.

Jun 21, 2019 · A significant amount of information discriminating between multiple neurodegenerative states is conveyed by OCT imaging of the human retina, even when differences in thickness are not yet present. This technique may allow for simultaneously diagnosing Alzheimer's and Parkinson's diseases.

In this paper, we propose an automated method for the 3-D analysis of retina texture, and quantification of fluid-filled regions (either intra- or subretinal fluid, or pigment epithelial detachment) associated with neo-vascular (or exudative) AMD.

We computed fundus images from optical coherence tomography (OCT) data and analysed the structural arrangement of the retinal tissue using texture metrics. We built clinical class classification models to distinguish between healthy controls (HC), AD, and PD, using machine learning (support vector machines).

Jun 12, 2023 · Purpose: To apply retinal nerve fiber layer (RNFL) optical texture analysis (ROTA) to investigate the preva-lence, patterns, and risk factors of RNFL defects in patients with ocular hypertension (OHT) who showed normal optic disc and RNFL conguration in clinical examination, normal RNFL thickness on OCT analysis, and normal fi visual eld (VF) re...

Jan 19, 2025 · Automated OCT image segmentation was performed, followed by retinal thickness and texture analysis. Changes in blood-retinal barrier (tight junctions and permeability), glial reactivity and nitrosative stress were assessed.

Jun 21, 2019 · We computed fundus images from optical coherence tomography (OCT) data and analysed the structural arrangement of the retinal tissue using texture metrics. We built clinical class classification models to distinguish between healthy controls (HC), AD, and PD, using machine learning (support vector machines).

We aim to identify novel early biomarkers for DR based on texture analysis of optical coherence tomography (OCT) retinal images. Previously, we reported significant changes in the retinal texture of an Alzheimer’s disease animal model, comparing to wild-type mice.

Retinal damage is not an uncommon problem. Its leading cause – macular degeneration – affects between 10 and 11 million people in the USA. As damage to the retina worsens, sight is impaired and quality of life declines. Retinal damage can be the result of many underlying problems.