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基于图形处理单元的超快速显示谱域光多普勒断层成像系统。

Ultra-fast displaying Spectral Domain Optical Doppler Tomography system using a Graphics Processing Unit.

机构信息

School of Electrical Engineering and Computer Science, Kyungpook National University, Buk-gu, Daegu, Korea.

出版信息

Sensors (Basel). 2012;12(6):6920-9. doi: 10.3390/s120606920. Epub 2012 May 25.

DOI:10.3390/s120606920
PMID:22969328
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3435957/
Abstract

We demonstrate an ultrafast displaying Spectral Domain Optical Doppler Tomography system using Graphics Processing Unit (GPU) computing. The calculation of FFT and the Doppler frequency shift is accelerated by the GPU. Our system can display processed OCT and ODT images simultaneously in real time at 120 fps for 1,024 pixels × 512 lateral A-scans. The computing time for the Doppler information was dependent on the size of the moving average window, but with a window size of 32 pixels the ODT computation time is only 8.3 ms, which is comparable to the data acquisition time. Also the phase noise decreases significantly with the window size. Since the performance of a real-time display for OCT/ODT is very important for clinical applications that need immediate diagnosis for screening or biopsy. Intraoperative surgery can take much benefit from the real-time display flow rate information from the technology. Moreover, the GPU is an attractive tool for clinical and commercial systems for functional OCT features as well.

摘要

我们展示了一种使用图形处理单元 (GPU) 计算的超快速显示谱域光相干断层扫描/多普勒断层扫描系统。GPU 加速了傅立叶变换和多普勒频移的计算。我们的系统可以实时显示处理后的 OCT 和 ODT 图像,帧率为 120 fps,横向 A 扫描为 1024 像素×512 像素。多普勒信息的计算时间取决于移动平均窗口的大小,但当窗口大小为 32 像素时,ODT 计算时间仅为 8.3ms,与数据采集时间相当。此外,随着窗口大小的增加,相位噪声显著降低。由于对于需要即时诊断筛查或活检的临床应用,OCT/ODT 的实时显示性能非常重要。术中手术可以从该技术的实时显示流速信息中受益良多。此外,GPU 对于具有功能 OCT 特征的临床和商业系统也是一种有吸引力的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/d90a7e8069bd/sensors-12-06920f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/81c8d1c7bc20/sensors-12-06920f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/c4f279943af8/sensors-12-06920f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/c349c2092869/sensors-12-06920f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/1d41ce16f137/sensors-12-06920f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/ba9fbd29e836/sensors-12-06920f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/ae818ead5636/sensors-12-06920f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/6adadb72c91f/sensors-12-06920f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/7e04b76f565d/sensors-12-06920f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/d90a7e8069bd/sensors-12-06920f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/81c8d1c7bc20/sensors-12-06920f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/c4f279943af8/sensors-12-06920f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/c349c2092869/sensors-12-06920f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/1d41ce16f137/sensors-12-06920f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/ba9fbd29e836/sensors-12-06920f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/ae818ead5636/sensors-12-06920f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/6adadb72c91f/sensors-12-06920f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/7e04b76f565d/sensors-12-06920f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b46/3435957/d90a7e8069bd/sensors-12-06920f9.jpg

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