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Related Experiment Video

Updated: Jun 9, 2026

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

Real-time processing for full-range Fourier-domain optical-coherence tomography with zero-filling interpolation using

Yuuki Watanabe¹, Seiya Maeno, Kenji Aoshima

¹Graduate School of Science and Engineering, Yamagata University, 4-3-16 Johnan,Yonezawa, Yamagata 992-8510, Japan. ywata@yz.yamagata-u.ac.jp

|September 8, 2010

Summary

This study demonstrates real-time display of Fourier-domain optical coherence tomography (FD-OCT) images using dual graphics processing units (GPUs) for high-speed parallel processing. The advanced system achieves a processed image display rate of 27.23 frames per second.

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Area of Science:

Biomedical Imaging
Optical Engineering
Computer Science

Background:

Fourier-domain optical coherence tomography (FD-OCT) is crucial for high-resolution imaging.
Real-time processing of large FD-OCT datasets presents significant computational challenges.

Purpose of the Study:

To demonstrate real-time display of full-range FD-OCT images.
To achieve high processing speeds for enhanced imaging capabilities.

Main Methods:

Utilized dual graphics processing units (GPUs) for highly parallel processing.
Implemented a zero-filling technique involving forward and inverse Fourier transforms, interpolation, and Hilbert transforms.
Optimized data transfer between GPU memory and host computer for reduced latency.

Main Results:

Achieved a processed image display rate of 27.23 frames per second.
Demonstrated real-time display of 2048x1024 pixel FD-OCT images.
Total processing time, including data transfer, was 14.75 ms, faster than the frame interval time.

Conclusions:

Dual GPUs enable high-speed parallel processing for real-time FD-OCT image display.
The developed method significantly enhances the speed and efficiency of FD-OCT systems.
This advancement has implications for various biomedical imaging applications requiring rapid, high-resolution visualization.