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Related Experiment Video

Updated: Jul 9, 2026

Doppler Optical Coherence Tomography of Retinal Circulation

Doppler Optical Coherence Tomography of Retinal Circulation

Published on: September 18, 2012

Real-time detection technique for Doppler optical coherence tomography.

A V Zvyagin, J B Fitzgerald, K K Silva

|December 11, 2007

Summary

We developed a new Doppler optical coherence tomography (OCT) detection method using a modified electronic phase-locked loop. This technique enables real-time, bidirectional velocity mapping in scattering media with high accuracy.

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Doppler Optical Coherence Tomography of Retinal Circulation

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Published on: September 18, 2012

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

Area of Science:

Biomedical Optics
Medical Imaging
Optical Physics

Background:

Doppler optical coherence tomography (OCT) is crucial for non-invasive tissue imaging.
Current Doppler OCT methods often require complex postprocessing or have limitations in velocity range and directionality.

Purpose of the Study:

To introduce a novel detection technique for Doppler OCT.
To enable real-time, simultaneous measurement of reflectivity and bidirectional velocity.
To overcome limitations of existing Doppler OCT detection methods.

Main Methods:

A modified electronic phase-locked loop (PLL) was designed and implemented.
The technique was applied to Doppler OCT for signal detection.
Performance was evaluated in turbid media over a wide velocity range.

Main Results:

Real-time simultaneous reflectivity and continuous, bidirectional velocity mapping were achieved.
The technique demonstrated minimal sensitivity penalty compared to conventional OCT.
Effective velocity mapping was shown in turbid media across a broad velocity spectrum.

Conclusions:

The proposed modified electronic PLL detection technique significantly advances Doppler OCT capabilities.
This method offers a superior alternative to current postprocessing and discrete parallel detection techniques.
It enables more comprehensive and efficient characterization of tissue dynamics.