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Doppler Optical Coherence Tomography of Retinal Circulation
Published on: September 18, 2012
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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
Summary
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.
- 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.

