Graphics processing unit-accelerated real-time compressive sensing spectral domain optical coherence tomography

Daguang Xu; Yong Huang; Jin U. Kang

doi:10.1117/12.2079431

9 March 2015 Graphics processing unit-accelerated real-time compressive sensing spectral domain optical coherence tomography

Daguang Xu, Yong Huang, Jin U. Kang

Author Affiliations +

Proceedings Volume 9330, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXII; 93301B (2015) https://doi.org/10.1117/12.2079431
Event: SPIE BiOS, 2015, San Francisco, California, United States

Abstract

In this paper, we systematically demonstrate two real-time CS SD OCT systems based on a conventional desktop having three GPUs. The first one takes fast Fourier transform (FFT) as the sensing technique and under-sampled linear wavenumber spectral sampling as input data, while the second one uses non-uniform fast Fourier transform (NUFFT) and under-sampled nonlinear wavenumber spectral sampling, respectively. The maximum reconstruction speed of 72k and 33.5k A-line/s were achieved for these two systems, respectively, with A-scan size 2048. It is >100 times faster than the C++ implementation and >400 times faster than the MATLAB implementation. Finally, we present real-time dispersion compensated image reconstruction for both systems.

Citation Download Citation

Daguang Xu, Yong Huang, and Jin U. Kang "Graphics processing unit-accelerated real-time compressive sensing spectral domain optical coherence tomography", Proc. SPIE 9330, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXII, 93301B (9 March 2015); https://doi.org/10.1117/12.2079431

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