Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Changes in retinal vessel diameter are an important sign of diseases such as hypertension, arteriosclerosis and diabetes mellitus. Obtaining precise measurements of vascular widths is a critical and demanding process in automated retinal image analysis as the typical vessel is only a few pixels wide. This paper presents an algorithm to measure the vessel diameter to subpixel accuracy. The diameter measurement is based on a two-dimensional difference of Gaussian model, which is optimized to fit a two-dimensional intensity vessel segment. The performance of the method is evaluated against Brinchmann-Hansen's half height, Gregson's rectangular profile and Zhou's Gaussian model. Results from 100 sample profiles show that the presented algorithm is over 30% more precise than the compared techniques and is accurate to a third of a pixel.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1109/TMI.2004.830524 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Multimodal self-supervised retinal vessel segmentation.
Neural Netw
September 2025
Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China. Electronic address:
Automatic segmentation of retinal vessels from retinography images is crucial for timely clinical diagnosis. However, the high cost and specialized expertise required for annotating medical images often result in limited labeled datasets, which constrains the full potential of deep learning methods. Recent advances in self-supervised pretraining using unlabeled data have shown significant benefits for downstream tasks.
View Article and Find Full Text PDFAutomated segmentation of retinal vessel using HarDNet fully convolutional networks.
PLoS One
September 2025
School of Medical Engineering, Xinxiang Medical University, Xinxiang, China.
Computer-aided diagnostic (CAD) systems for color fundus images play a critical role in the early detection of fundus diseases, including diabetes, hypertension, and cerebrovascular disorders. Although deep learning has substantially advanced automatic segmentation techniques in this field, several challenges persist, such as limited labeled datasets, significant structural variations in blood vessels, and persistent dataset discrepancies, which continue to hinder progress. These challenges lead to inconsistent segmentation performance, particularly for small vessels and branch regions.
View Article and Find Full Text PDFMicroglia Drive Peripapillary Vascular Density Reduction in Normal Tension Glaucoma by Regulating the Rpl17/Stat5b/Apoa1 Axis.
Adv Sci (Weinh)
September 2025
Department of Ophthalmology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, China.
Normal tension glaucoma (NTG) is a predominant subset of glaucoma in Asia and is characterized by glaucomatous optic neuropathy in the absence of elevated intraocular pressure. Alterations in retinal blood vessels are reported to be important mechanisms of glaucomatous optic nerve damage. Retinal peripapillary vascular density is assessed in patients with early stage NTG and OPTN (E50K) mutant mice and confirmed a similar reduction in retinal peripapillary vascular density in patients with NTG and model mice.
View Article and Find Full Text PDFCUNSB-RFIE: Context-aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement.
IEEE Winter Conf Appl Comput Vis
April 2025
Retinal fundus photography is significant in diagnosing and monitoring retinal diseases. However, systemic imperfections and operator/patient-related factors can hinder the acquisition of high-quality retinal images. Previous efforts in retinal image enhancement primarily relied on GANs, which are limited by the trade-off between training stability and output diversity.
View Article and Find Full Text PDFLight and Electron Microscopic Characterization of Vascular and Mitochondrial Structures in the Camel Retina.
Microsc Res Tech
September 2025
Department of Anatomy and Embryology, Faculty of Veterinary Medicine, Assiut University, Assiut, Egypt.
Camels have unique morphological traits that enable them to adapt well to harsh conditions. This work aims to describe the vascular architecture of the camel retina and investigate its cellular components with a focus on the distribution of mitochondria in Muller cells and photoreceptors, using light and electron microscopy. The camel retina is euangiotic in which blood vessels extend in the inner retina from the nerve fiber layer to the outer plexiform layer.
View Article and Find Full Text PDF