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Related Experiment Video

Updated: Nov 27, 2025

Doppler Optical Coherence Tomography of Retinal Circulation
10:46

Doppler Optical Coherence Tomography of Retinal Circulation

Published on: September 18, 2012

19.0K

Relative retinal flow velocity detection using optical coherence tomography angiography imaging.

Dmitry Richter1,2,3, Ali M Fard1, Jochen Straub1

  • 1Carl Zeiss Meditec, Inc., Dublin, CA 94568, USA.

Biomedical Optics Express
|December 7, 2020
PubMed
Summary

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This summary is machine-generated.

This study introduces a new method to measure retinal blood flow velocity using optical coherence tomography angiography (OCTA). This technique enhances OCTA

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Optical coherence tomography angiography (OCTA) provides detailed retinal vasculature visualization.
  • Conventional OCTA protocols have limitations in dynamic range and velocity-intensity correlation due to long scan intervals.
  • Distinguishing between fast and slow retinal blood flow is crucial for diagnosing early-stage retinal diseases like vein occlusion.

Purpose of the Study:

  • To develop and validate a method for detecting relative blood flow velocity in the human retina using spectral-domain OCTA.
  • To overcome the limitations of conventional OCTA in assessing flow dynamics.
  • To enhance the diagnostic capabilities of OCTA for retinal vascular conditions.

Main Methods:

  • Utilized a 67.5 kHz spectral-domain OCTA device.

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Last Updated: Nov 27, 2025

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  • Adapted A-scan time-intervals within a single OCTA acquisition to expand the detectable velocity range.
  • Combined resulting OCTA images and validated the method with microchannel flow experiments.
  • Main Results:

    • Successfully demonstrated a method to detect relative flow velocity in the human retina.
    • Expanded the detectable velocity range of OCTA by modifying scan acquisition parameters.
    • Validated the quantitative accuracy of the method through controlled flow experiments.

    Conclusions:

    • The developed OCTA method enables the detection of relative retinal blood flow velocity.
    • This approach improves the dynamic range and velocity correlation of OCTA imaging.
    • The technique shows promise for the early assessment of retinal diseases by analyzing blood flow dynamics.