Semi-automated evaluation tool for retinal vasculopathy

X Benavent1, L Martínez-Costa, G Ayala

  • 1Institute of Robotics, University of Valencia, Polígono de la Coma, s/n, Aptdo 2085, 46023 Valencia, Spain.

Insights

This study introduces a new system to help doctors measure vascular changes in eye fundus images. This tool aids in detecting early signs of cardiovascular disease by analyzing blood vessel characteristics.

Area of Science:

  • Ophthalmology
  • Cardiology
  • Medical Imaging

Background:

  • The ocular fundus offers a unique view of the human vascular system.
  • Evidence suggests links between ocular fundus vascular measures and cardiovascular diseases.
  • Accurate and repeatable measurement methods are needed to statistically validate these links.

Purpose of the Study:

  • To present a system assisting physicians in measuring vascular characteristics in non-mydriatic ocular fundus images.
  • To facilitate the signaling and storage of data related to vascular deterioration and caliber.
  • To enable precise and repeatable data acquisition for statistical analysis.

Main Methods:

  • Development of a system with a graphical user interface (GUI).
  • GUI guides practitioners in marking visible anatomical features.
  • Data export in common database formats for further processing.
  • Inclusion of a statistical summary.

Main Results:

  • The system provides an assisted method for measuring ocular fundus vascular parameters.
  • It enables easy and precise identification and storage of vascular data.
  • The GUI supports practitioners in marking key features, even without full automation.

Conclusions:

  • The developed system aids physicians in assessing ocular vascular health.
  • It facilitates the collection of crucial data for understanding the relationship between eye vasculature and cardiovascular health.
  • This tool supports the statistical validation of links between ocular fundus vascular measures and cardiovascular diseases.

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