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Visual System01:26

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...

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Related Experiment Video

Updated: Jun 10, 2026

Using Retinal Imaging to Study Dementia
09:17

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

Sirius: a web-based system for retinal image analysis.

M Ortega1, N Barreira, J Novo

  • 1Dep. Computación, Universidade da Coruña, 15071 A Coruña, Spain. mortega@udc.es

International Journal of Medical Informatics
|August 24, 2010
PubMed
Summary

Sirius, a web-based system, enhances retinal image analysis for early disease detection. It facilitates collaboration among experts, improving efficiency and reducing variability in diagnosing conditions like hypertension and diabetes.

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Health Informatics

Background:

  • Retinal image analysis is crucial for early detection of systemic diseases like hypertension and diabetes.
  • Current screening processes involve large volumes of data and inter-center collaboration, necessitating efficient solutions.
  • Automated and collaborative platforms are needed to manage the increasing demand for retinal image evaluation.

Purpose of the Study:

  • To introduce Sirius (System for the Integration of Retinal Images Understanding Services), a web-based system for collaborative retinal image analysis.
  • To provide a framework for experts to work together in a distributed, fast, and reliable environment.
  • To present a specific service within Sirius for analyzing retinal microcirculation via the arteriolar-to-venular ratio (AVR).

Main Methods:

  • Sirius comprises a web client, a web application server, and a service module for image processing.
  • A semi-automatic methodology was developed for computing the arteriolar-to-venular ratio (AVR) as part of the microcirculation analysis service.
  • The system was designed to support collaborative work among ophthalmologists and other specialists.

Main Results:

  • The arteriolar-to-venular ratio (AVR) service was validated for precision and efficiency.
  • The Sirius framework was evaluated in real-world medical center environments.
  • Performance testing in healthcare systems confirmed the system's capabilities.

Conclusions:

  • Sirius offers a fast, reliable web-based environment for retinal experts.
  • The system enables secure sharing of retinal images and analysis results among remote users.
  • Automated methods within Sirius help minimize inter-expert variability in image interpretation.