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Related Experiment Video

Updated: May 19, 2026

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

Graphics processing unit-based dispersion encoded full-range frequency-domain optical coherence tomography.

Ling Wang¹, Bernd Hofer, Jeremy A Guggenheim

¹Cardiff University, School of Optometry & Vision Sciences, Maindy Road, Cardiff, CF24 4LU, United Kingdom.

Journal of Biomedical Optics

|August 17, 2012

Summary

This summary is machine-generated.

Dispersion Encoded Full-Range (DEFR) optical coherence tomography uses dispersion mismatch to double data content. A new graphics processing unit (GPU) implementation dramatically speeds up DEFR, enabling real-time high-resolution imaging.

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Doppler Optical Coherence Tomography of Retinal Circulation

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Published on: September 18, 2012

Area of Science:

Biomedical Optics
Medical Imaging Technology
Optical Engineering

Background:

Frequency-domain optical coherence tomography (FD-OCT) faces signal ambiguity due to non-complex valued spectral measurements.
Dispersion Encoded Full-Range (DEFR) FD-OCT enhances data content by utilizing dispersion mismatch.
Previous DEFR implementations were limited by computational complexity and slow processing speeds.

Purpose of the Study:

To develop a graphics processing unit (GPU)-based implementation of fast DEFR.
To significantly improve the reconstruction speed of DEFR for high-resolution OCT imaging.
To enable real-time visualization and interactive operation of DEFR.

Main Methods:

Implemented the fast DEFR algorithm on a commercial low-cost GPU.
Utilized dispersion mismatch between sample and reference arms to eliminate spectral ambiguity.
Employed iterative suppression of complex conjugate artifacts to recover complex-valued signals.

Main Results:

Achieved a reconstruction speed improvement of over 90x compared to CPU-based processing.
Reached a display line rate of approximately 21,000 depth scans/s for 2048 samples/depth scan.
Demonstrated the capability for real-time visualization in situ with 10 iterations of the fast DEFR algorithm.

Conclusions:

GPU-based implementation of fast DEFR overcomes previous speed limitations.
The enhanced speed enables high-resolution, real-time OCT imaging.
This advancement facilitates interactive operation and in situ visualization for various applications.