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Updated: Mar 6, 2026

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography

Published on: March 26, 2020

Retinal imaging analysis based on vessel detection.

Arshad Jamal¹, Mohammed Hazim Alkawaz^1,2, Amjad Rehman³

¹Faculty of Information Sciences & Engineering, Management and Science University, Shah Alam, Selangor, Malaysia.

Microscopy Research and Technique

|March 16, 2017

Summary

This summary is machine-generated.

Retina Image Analysis (RIA) software aids optometrists in analyzing retinal images for better patient diagnosis. This tool assists in vessel detection and measurement, improving understanding of retinal health.

Keywords:

edge detection and vessel detection fundus image retinal segmentation

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Area of Science:

Ophthalmology
Medical Imaging
Computational Intelligence

Background:

Advancements in digital imaging and computing power drive demand for intelligent technologies in ophthalmology.
Retinal image analysis is crucial for diagnosing and treating eye conditions.

Purpose of the Study:

To develop a Retina Image Analysis (RIA) system for optometrists.
To enhance the analysis of retinal images through automated vessel detection and measurement.

Main Methods:

Developed a Retina Image Analysis (RIA) system using MATLAB (R2011b).
Employed the Agile Unified Process methodology for system development.
Implemented features for saving, processing, and analyzing retinal images, including vessel segmentation and diameter calculation.

Main Results:

The RIA system provides advanced interface options for image manipulation and analysis.
Successfully detected and processed retinal vessels, calculating parameters like diameter, standard deviation, and length.
Achieved promising results comparable to the state-of-the-art in retinal image analysis.

Conclusions:

The developed Retina Image Analysis (RIA) system can assist optometrists in gaining a better understanding of patient retinas.
The system's capabilities in vessel detection and analysis offer potential improvements in ophthalmic diagnostics.