Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Speckle noise and retinal shadows within OCT B-scans occlude important edges, fine textures and deep tissues, preventing accurate and robust diagnosis by algorithms and clinicians. We developed a single process that successfully removed both noise and retinal shadows from unseen single-frame B-scans within 10.4ms. Mean average gradient magnitude (AGM) for the proposed algorithm was 57.2% higher than current state-of-the-art, while mean peak signal to noise ratio (PSNR), contrast to noise ratio (CNR), and structural similarity index metric (SSIM) increased by 11.1%, 154% and 187% respectively compared to single-frame B-scans. Mean intralayer contrast (ILC) improvement for the retinal nerve fiber layer (RNFL), photoreceptor layer (PR) and retinal pigment epithelium (RPE) layers decreased from 0.362 ± 0.133 to 0.142 ± 0.102, 0.449 ± 0.116 to 0.0904 ± 0.0769, 0.381 ± 0.100 to 0.0590 ± 0.0451 respectively. The proposed algorithm reduces the necessity for long image acquisition times, minimizes expensive hardware requirements and reduces motion artifacts in OCT images.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984803 | PMC |
| http://dx.doi.org/10.1364/BOE.412156 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Research progress on multisensory stimulation therapy for pain during retinopathy of prematurity screening.
Front Pediatr
August 2025
Department of Nursing, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Retinopathy of prematurity (ROP) is a retinal disease characterized by abnormal vascular proliferation, primarily associated with premature delivery and low birth weight. Advances in perinatal and neonatal care have increased survival rates but have also contributed to a rising incidence of ROP, necessitating regular ROP screening. However, the screening procedure, which involves an eyelid speculum and ophthalmoscope, frequently induces pain.
View Article and Find Full Text PDFA novel method for optic disc localization using fast circlet transform and Chan-Vese segmentation.
Sci Rep
August 2025
Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.
Accurate localization and segmentation of the optic disc (OD) are considered crucial for the early detection of ophthalmic diseases such as glaucoma and diabetic retinopathy. Challenges such as image quality variability, high background noise, and insufficient edge information are often encountered by existing methods. To address these issues, an adaptive framework is proposed in which Fast Circlet Transformation (FCT) is combined with entropy-based features derived from retinal blood vessels for robust OD localization.
View Article and Find Full Text PDFHierarchical Multi-Scale Mamba with Tubular Structure-Aware Convolution for Retinal Vessel Segmentation.
Entropy (Basel)
August 2025
College of Computer Science and Technology, Jilin University, Changchun 130012, China.
Retinal vessel segmentation plays a crucial role in diagnosing various retinal and cardiovascular diseases and serves as a foundation for computer-aided diagnostic systems. Blood vessels in color retinal fundus images, captured using fundus cameras, are often affected by illumination variations and noise, making it difficult to preserve vascular integrity and posing a significant challenge for vessel segmentation. In this paper, we propose HM-Mamba, a novel hierarchical multi-scale Mamba-based architecture that incorporates tubular structure-aware convolution to extract both local and global vascular features for retinal vessel segmentation.
View Article and Find Full Text PDFFundus blood flow density changes in the smoking population by artificial intelligence-based optical coherence tomography angiography.
Int J Ophthalmol
September 2025
Department of Ophthalmology, Shanghai Fourth Rehabilitation Hospital, Shanghai 200040, China.
Aim: To determine whether chronic smoking affects fundus blood flow density using optical coherence tomography angiography (OCTA) based on artificial intelligence (AI).
Methods: All participants underwent a comprehensive ophthalmological examination in this study. The subjects were categorized into two groups: control and smoker.
Object Stitching by Clustering of adjacent Regions designed for accurate quantification of three-dimensional tissues.
J Cell Sci
August 2025
Depto de Física de la Materia Condensada, Universidad Autónoma de Madrid, Calle de Francisco Tomás y Valiente, 1, Madrid 28049, Spain.
The study of tissue organization and morphogenesis requires quantitative analysis of three-dimensional biological samples, a challenging task due to limitations in imaging dense organs at single-cell resolution. Current 3D segmentation and quantification tools often struggle with the low resolution and signal-to-noise ratios typical of images taken in vivo or deep within tissues. To address this, we developed OSCAR (Object Stitching by Clustering of Adjacent Regions), a framework that combines machine learning with nonlinear fitting and statistical algorithms specifically designed to quantify biological 3D stacks with high cellular density and low signal-to-background ratio based on nuclear staining.
View Article and Find Full Text PDF