Results 11 to 20 of about 76,093 (302)

Opening a window to the acutely injured brain: Simultaneous retinal and cerebral vascular monitoring in rats

open access: yesFrontiers in Molecular Neuroscience, 2023
Many recent research projects have described typical chronic changes in the retinal vasculature for diverse neurovascular and neurodegenerative disorders such as stroke or Alzheimer's disease.
Laura Warner   +12 more
doaj   +1 more source

A Novel Hybrid Retinal Blood Vessel Segmentation Algorithm for Enlarging the Measuring Range of Dual-Wavelength Retinal Oximetry

open access: yesPhotonics, 2023
The non-invasive measurement of hemoglobin oxygen saturation (SO2) in retinal vessels is based on spectrophotometry and the absorption spectral characteristics of the tissue.
Yongli Xian   +4 more
doaj   +1 more source

Retinal vessel oxygen saturation and vessel diameter in retinitis pigmentosa [PDF]

open access: yesActa Ophthalmologica, 2014
AbstractPurposeTo assess retinal vessel oxygen saturation and retinal vessel diameter in retinitis pigmentosa.MethodsA retinal oximeter (Oxymap ehf., Reykjavik, Iceland) was used to measure retinal vessel oxygen saturation and vessel diameter in ten patients with retinitis pigmentosa (RP) (mean age 49 years, range 23–71 years).
Sveinn Hakon Hardarson   +3 more
openaire   +3 more sources

Fundus Image Registration Technique Based on Local Feature of Retinal Vessels

open access: yesApplied Sciences, 2021
Feature-based retinal fundus image registration (RIR) technique aligns fundus images according to geometrical transformations estimated between feature point correspondences.
Roziana Ramli   +4 more
doaj   +1 more source

Cascaded retinal vessel segmentation network guided by a skeleton map

open access: yes工程科学学报, 2021
Accurate identification of retinal vessels is essential for assisting doctors in screening early fundus diseases. Diabetes, hypertension, and cardiovascular disease can cause abnormalities of the retinal vascular structure.
Da-guang JIANG   +5 more
doaj   +1 more source

Retinal blood vessel analysis using optical coherence tomography in multiple sclerosis

open access: yesVeins and Lymphatics, 2022
Background: Both greater retinal neurodegenerative pathology and greater cardiovascular burden have been seen in persons with multiple sclerosis (pwMS).1,2 Moreover, studies have described multiple extracranial and intracranial vasculature changes in ...
Nicholas Young   +5 more
doaj   +1 more source

Retinal Vessels Segmentation Techniques and Algorithms: A Survey

open access: yesApplied Sciences, 2018
Retinal vessels identification and localization aim to separate the different retinal vasculature structure tissues, either wide or narrow ones, from the fundus image background and other retinal anatomical structures such as optic disc, macula, and ...
Jasem Almotiri   +2 more
doaj   +1 more source

Recent Techniques and Trends for Retinal Blood Vessel Extraction and Tortuosity Evaluation: A Comprehensive Review

open access: yesIEEE Access, 2020
Retinal blood vessel segmentation plays an important part in the early diagnosis and treatment of eye disease. It is a tool for ophthalmologists. Many diseases can be identified by examining manifestations and images of blood vessels, including diabetic ...
Alice Krestanova   +2 more
doaj   +1 more source

Continuous Retinal Vessel Diameter Measurements: The Future in Retinal Vessel Assessment? [PDF]

open access: yesInvestigative Opthalmology & Visual Science, 2010
To establish an alternative method, sequential and diameter response analysis (SDRA), to determine dynamic retinal vessel responses and their time course in serial stimulation compared with the established method of averaged diameter responses and standard static assessment.SDRA focuses on individual time and diameter responses, taking into account the
Andrew D. Blann   +5 more
openaire   +3 more sources

A Survey of Deep Learning for Retinal Blood Vessel Segmentation Methods: Taxonomy, Trends, Challenges and Future Directions

open access: yesIEEE Access, 2022
Recent advancements in deep learning architectures have extended their application to computer vision tasks, one of which is the segmentation of retinal blood vessels from retinal fundus images.
Olubunmi Omobola Sule
doaj   +1 more source

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