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Updated: May 6, 2026

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Doppler Optical Coherence Tomography of Retinal Circulation
Published on: September 18, 2012
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Blood flow velocity quantification using split-spectrum amplitude-decorrelation angiography with optical coherence
Jason Tokayer1, Yali Jia, Al-Hafeez Dhalla
1Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Biomedical Optics Express
|October 25, 2013
Summary
The split-spectrum amplitude-decorrelation angiography (SSADA) algorithm can now quantify retinal blood flow velocity. Phantom experiments established a linear model for accurate, phase-independent velocity measurements in clinical settings.
Area of Science:
- Ophthalmology
- Medical Imaging
- Biomedical Engineering
Background:
- Split-spectrum amplitude-decorrelation angiography (SSADA) enables retinal blood flow imaging without phase information.
- Absolute blood velocity quantification is crucial for diagnosing and monitoring retinal vascular diseases.
- Current SSADA methods lack direct velocity measurement capabilities.
Purpose of the Study:
- To develop and validate a method for absolute blood velocity quantification using SSADA.
- To establish a correlation between SSADA signal measurements and known flow velocities.
- To determine the clinical applicability of SSADA for retinal blood flow velocity measurements.
Main Methods:
- In vitro phantom experiments were conducted using controlled flow velocities.
- The SSADA algorithm was applied to phantom data across multiple time scales.
- A linear regression model was derived to correlate SSADA signal amplitude with absolute flow velocity.
Main Results:
- A robust linear relationship was identified between SSADA signal measurements and preset flow velocities.
- The derived linear model demonstrates the potential for accurate velocity quantification.
- The operating range and limitations of the linear model for clinical application were analyzed.
Conclusions:
- SSADA can be utilized for absolute retinal blood flow velocity quantification.
- The developed linear model provides a foundation for phase-independent velocity measurements in clinical settings.
- This advancement has significant implications for diagnosing and managing retinal vascular conditions.

