Real-time polarization-sensitive optical coherence tomography data processing with parallel computing

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...

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Veröffentlicht in:Applied optics. Optical technology and biomedical optics Jg. 48; H. 32; S. 6365
Hauptverfasser: Liu, Gangjun, Zhang, Jun, Yu, Lingfeng, Xie, Tuqiang, Chen, Zhongping
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States 10.11.2009
Schlagworte:
Algorithms
Computer Systems
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Imaging, Three-Dimensional - methods
Information Storage and Retrieval - methods
Microscopy, Phase-Contrast - methods
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted
Tomography, Optical Coherence - methods
ISSN:1539-4522, 2155-3165, 1539-4522
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1539-4522
2155-3165
1539-4522
DOI:10.1364/AO.48.006365