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Related Experiment Video

Updated: May 6, 2026

Doppler Optical Coherence Tomography of Retinal Circulation
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An Open-source Image Analysis Toolbox for Quantitative Retinal Optical Coherence Tomography Angiography.

Yalda Amirmoezzi1,2, Mohsen Ghofrani-Jahromi3, Hossein Parsaei1,2

  • 1Department of Medical Physics and Engineering, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.

Journal of Biomedical Physics & Engineering
|February 15, 2024
PubMed
Summary

A new open-source software tool automates quantitative optical coherence tomography angiography (OCTA) analysis, improving Foveal Avascular Zone (FAZ) and vessel density measurements with high reliability.

Keywords:
Computer-Assisted Image ProcessingFoveal Avascular ZoneOCTAOptical Coherence TomographyOptical ImagingQuantitative OCTARetinaRetinal Vascular Density

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Optical coherence tomography angiography (OCTA) is crucial for assessing retinal perfusion in optic nerve and retinal diseases.
  • Manual OCTA analysis for Foveal Avascular Zone (FAZ) and vascular metrics is time-consuming, prone to errors, and suffers from operator variability.

Purpose of the Study:

  • Develop an open-source software framework for quantitative OCTA (QOCTA).
  • Automate the analysis of OCTA images to measure microvascular and FAZ morphology indices.

Main Methods:

  • A MATLAB-based toolbox was developed for QOCTA analysis.
  • The software automatically quantifies FAZ parameters (area, perimeter, circularity, etc.) and estimates vessel density (VD).
  • Reliability was assessed by three operators on 21 subjects using intraclass correlation coefficient (ICC).

Main Results:

  • High consistency was achieved for superficial layer measurements (ICC >0.9).
  • Good reliability was observed for deep layer measurements (ICC >0.7).

Conclusions:

  • The developed QOCTA software is reliable and efficient.
  • It can enhance quantitative OCTA studies, facilitate statistical comparisons, and aid in understanding retinal variations across populations.