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Proceedings Paper

Graphics processing unit-based ultrahigh speed real-time multidimensional Fourier domain optical coherence tomography
Author(s): Kang Zhang; Jin U. Kang
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Paper 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.

Paper Details

Date Published: 30 January 2012
PDF: 13 pages
Proc. SPIE 8213, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVI, 82132B (30 January 2012); doi: 10.1117/12.905213
Show Author Affiliations
Kang Zhang, GE Global Research (United States)
Jin U. Kang, The Johns Hopkins Univ. (United States)


Published in SPIE Proceedings Vol. 8213:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVI
Joseph A. Izatt; James G. Fujimoto; Valery V. Tuchin, Editor(s)

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