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High-speed optical coherence tomography signal processing on GPU
Li Xiqi; Shi Guohua; Zhang Yudong
Source PublicationJournal of Physics: Conference Series
Volume277Issue:1
2011
Language英语
Subtype期刊论文
AbstractThe signal processing speed of spectral domain optical coherence tomography (SD-OCT) has become a bottleneck in many medical applications. Recently, a time-domain interpolation method was proposed. This method not only gets a better signal-to noise ratio (SNR) but also gets a faster signal processing time for the SD-OCT than the widely used zero-padding interpolation method. Furthermore, the re-sampled data is obtained by convoluting the acquired data and the coefficients in time domain. Thus, a lot of interpolations can be performed concurrently. So, this interpolation method is suitable for parallel computing. An ultra-high optical coherence tomography signal processing can be realized by using graphics processing unit (GPU) with computer unified device architecture (CUDA). This paper will introduce the signal processing steps of SD-OCT on GPU. An experiment is performed to acquire a frame SD-OCT data (400A-lines×2048 pixel per A-line) and real-time processed the data on GPU. The results show that it can be finished in 6.208 milliseconds, which is 37 times faster than that on Central Processing Unit (CPU).; The signal processing speed of spectral domain optical coherence tomography (SD-OCT) has become a bottleneck in many medical applications. Recently, a time-domain interpolation method was proposed. This method not only gets a better signal-to noise ratio (SNR) but also gets a faster signal processing time for the SD-OCT than the widely used zero-padding interpolation method. Furthermore, the re-sampled data is obtained by convoluting the acquired data and the coefficients in time domain. Thus, a lot of interpolations can be performed concurrently. So, this interpolation method is suitable for parallel computing. An ultra-high optical coherence tomography signal processing can be realized by using graphics processing unit (GPU) with computer unified device architecture (CUDA). This paper will introduce the signal processing steps of SD-OCT on GPU. An experiment is performed to acquire a frame SD-OCT data (400A-lines×2048 pixel per A-line) and real-time processed the data on GPU. The results show that it can be finished in 6.208 milliseconds, which is 37 times faster than that on Central Processing Unit (CPU).
Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/6210
Collection自适应光学技术研究室(八室)
Corresponding AuthorLi Xiqi
Affiliation中国科学院光电技术研究所
Recommended Citation
GB/T 7714
Li Xiqi,Shi Guohua,Zhang Yudong. High-speed optical coherence tomography signal processing on GPU[J]. Journal of Physics: Conference Series,2011,277(1).
APA Li Xiqi,Shi Guohua,&Zhang Yudong.(2011).High-speed optical coherence tomography signal processing on GPU.Journal of Physics: Conference Series,277(1).
MLA Li Xiqi,et al."High-speed optical coherence tomography signal processing on GPU".Journal of Physics: Conference Series 277.1(2011).
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