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Updated: May 14, 2026

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography
07:23

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography

Published on: March 26, 2020

Patch-based automatic retinal vessel segmentation in global and local structural context.

Shuoying Cao1, Anil A Bharath, Kim H Parker

  • 1Bioengineering Department, Imperial College London, South Kensington Campus, London SW7 2AZ. shuoying.cao@imperial.ac.uk

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
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This study introduces an automated system for segmenting retinal blood vessels in fundus images, enabling early disease detection. The adaptable approach analyzes both global and local vessel structures for improved diagnostic capabilities.

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Computer Vision

Background:

  • Accurate segmentation of the retinal vessel bed is crucial for diagnosing and monitoring eye diseases.
  • Existing methods may lack adaptability for diverse imaging modalities like fluorescein angiography.

Purpose of the Study:

  • To develop an automated system for segmenting retinal vasculature in digital fundus images.
  • To enable both global vessel bed segmentation and local microvascular centerline extraction.
  • To enhance early disease detection, monitoring, and treatment through quantitative vessel analysis.

Main Methods:

  • A novel approach combining phase-invariant orientation fields and neighborhood pixel intensities for global segmentation using supervised learning.
  • Phase-invariant orientation measures and phase-selective local structure features for local microvascular centerline extraction within Regions-of-Interest (ROIs).

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  • System evaluated against benchmarks on the DRIVE database.

    • Main Results:

    • The proposed system demonstrates adaptability for analyzing images from fluorescein angiography.
    • Successful segmentation of both the global retinal vessel bed and local microvascular centrelines.
    • The methodology allows for the estimation of vessel diameter, capillary blood volume, and microvascular topology.

    Conclusions:

    • The developed automated system offers a robust tool for analyzing retinal vasculature.
    • It facilitates the assessment of pathological structural alterations and microemboli occurrence in non-invasive clinical settings.
    • This technology supports longitudinal studies for disease management and therapeutic assessment.