@inproceedings{75db9883beea4f43977d3c73d73d4790,
title = "Graphics processing unit-accelerated real-time compressive sensing spectral domain optical coherence tomography",
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.",
keywords = "Compressive sensing, graphics processing unit, image processing, optical coherence tomography, reconstruction algorithm",
author = "Daguang Xu and Yong Huang and Kang, {Jin U.}",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXII ; Conference date: 09-02-2015 Through 12-02-2015",
year = "2015",
doi = "10.1117/12.2079431",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Brown, {Thomas G.} and Cogswell, {Carol J.} and Tony Wilson",
booktitle = "Three-Dimensional and Multidimensional Microscopy",
address = "United States",
}