Translator Disclaimer
Paper
9 March 2015 Graphics processing unit-accelerated real-time compressive sensing spectral domain optical coherence tomography
Author Affiliations +
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
10 PAGES


SHARE
Advertisement
Advertisement
Back to Top