@inproceedings{8b3fb8b6dfe8448dbc2428345596e1f3,
title = "Graphics processing unit-based ultrahigh speed real-time multidimensional Fourier domain optical coherence tomography",
abstract = "In this paper, we systematically presented a series of graphics processing unit (GPU) based data processing methods for ultrahigh speed, real-time Fourier Domain optical coherence tomography (FD-OCT): GPU based algorithms including high-speed linear/cubic interpolation, non-uniform fast Fourier transform (NUFFT), numerical dispersion compensation, and multi-GPU implementation were developed to improve the image quality and stability of the system. Full-range complex-conjugate-free FD-OCT was also implemented on the GPU architecture to double the imaging range and to improve SNR. The maximum processing speed of >3.0 Giga-Voxel/second (>6.0 Mega-A-scan/ second of 1024-pixel FD-OCT) was achieved using NVIDIA's latest GPU modules. The GPU-based volume rendering enabled real-time 4D (3D+time) FD-OCT imaging, and a 5 volume/second 4D FD-OCT system was demonstrated. These GPU technologies were highly effective in circumventing the imaging reconstruction and visualization bottlenecks exist among current ultra-high speed FD-OCT systems and could significantly facilitate the interventional OCT imaging.",
keywords = "Graphics processing unit, Optical coherence tomography, Parallel computing",
author = "Kang Zhang and Kang, {Jin U.}",
year = "2012",
doi = "10.1117/12.905213",
language = "English (US)",
isbn = "9780819488565",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
booktitle = "Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVI",
note = "Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVI ; Conference date: 23-01-2012 Through 25-01-2012",
}