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.

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

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)