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Proceedings Paper

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

Paper Details

Date Published: 9 March 2015
PDF: 10 pages
Proc. SPIE 9330, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXII, 93301B (9 March 2015); doi: 10.1117/12.2079431
Show Author Affiliations
Daguang Xu, Johns Hopkins Univ. (United States)
Yong Huang, Johns Hopkins Univ. (United States)
Jin U. Kang, Johns Hopkins Univ. (United States)

Published in SPIE Proceedings Vol. 9330:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXII
Thomas G. Brown; Carol J. Cogswell; Tony Wilson, Editor(s)

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