Optimization of compute unified device architecture for real-time ultrahigh-resolution optical coherence tomography

被引:8
作者
Kim, Ji-hyun [1 ]
Aum, Jaehong [2 ]
Han, Jae-Ho [1 ]
Jeong, Jichai [1 ]
机构
[1] Korea Univ, Dept Brain & Cognit Engn, Seoul 136701, South Korea
[2] Korea Univ, Dept Comp & Radio Commun Engn, Seoul 136701, South Korea
基金
新加坡国家研究基金会;
关键词
Near infrared optical reflectometry; Optical imaging; Optical coherence tomography; Parallel computing; PATTERN NOISE REMOVAL;
D O I
10.1016/j.optcom.2014.08.067
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
We propose an optimized signal processing scheme that utilizes the compute unified device architecture (CUDA) for real-time spectral domain optical coherence tomography (OCT). Because linear spline interpolation and the direct spectral reshaping method have low data and control dependencies, these algorithms maximally utilize graphic processing unit (GPU) resources for dispersion control. In addition, data transfer between main memory and GPU, regarded as one of the most wasteful and time-consuming processes in GPU computing, is executed in parallel with the signal processing by overlapping kernel execution and data transfers. Experimental results obtained from application of the proposed scheme to a laboratory constructed OCT system comprising five spectrally shifted SLDs indicate that the OCT system has an axial resolution of 4.8 mu m [1111 and transverse resolution of 13 01 in air. Further, coherence artifacts are reduced by 3-14 dB over the side-lobes in the point spread function. The optimization of CUDA enables OCT imaging rates up to 350 kHz (A-lines/sec) with a single GTX680 GPU. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:308 / 313
页数:6
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