Liu Gangjun, Zhang Jun, Yu Lingfeng, Xie Tuqiang, Chen Zhongping
Beckman Laser Institute, University of California, Irvine, 1002 Health Sciences Road, Irvine, California 92612, USA.
Appl Opt. 2009 Nov 10;48(32):6365-70. doi: 10.1364/AO.48.006365.
With the increase of the A-line speed of optical coherence tomography (OCT) systems, real-time processing of acquired data has become a bottleneck. The shared-memory parallel computing technique is used to process OCT data in real time. The real-time processing power of a quad-core personal computer (PC) is analyzed. It is shown that the quad-core PC could provide real-time OCT data processing ability of more than 80 K A-lines per second. A real-time, fiber-based, swept source polarization-sensitive OCT system with 20 K A-line speed is demonstrated with this technique. The real-time 2D and 3D polarization-sensitive imaging of chicken muscle and pig tendon is also demonstrated.
随着光学相干断层扫描（OCT）系统A线速度的提高，采集数据的实时处理已成为一个瓶颈。采用共享内存并行计算技术对OCT数据进行实时处理。分析了四核个人计算机（PC）的实时处理能力。结果表明，四核PC能够提供每秒超过80K A线的实时OCT数据处理能力。利用该技术展示了一个A线速度为20K的基于光纤的扫频源偏振敏感OCT实时系统。还展示了鸡肌肉和猪肌腱的实时二维和三维偏振敏感成像。
