Four-dimensional structural and Doppler optical coherence tomography imaging on graphics processing units

The authors present the application of graphics processing unit (GPU) programming for real-time three-dimensional (3-D) Fourier domain optical coherence tomography (FdOCT) imaging with implementation of flow visualization algorithms. One of the limitations of FdOCT is data processing time, which is...

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Veröffentlicht in:Journal of biomedical optics Jg. 17; H. 10; S. 100502
Hauptverfasser: Sylwestrzak, Marcin, Szlag, Daniel, Szkulmowski, Maciej, Gorczynska, Iwona, Bukowska, Danuta, Wojtkowski, Maciej, Targowski, Piotr
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States 01.10.2012
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ISSN:1560-2281, 1560-2281
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Zusammenfassung:The authors present the application of graphics processing unit (GPU) programming for real-time three-dimensional (3-D) Fourier domain optical coherence tomography (FdOCT) imaging with implementation of flow visualization algorithms. One of the limitations of FdOCT is data processing time, which is generally longer than data acquisition time. Utilizing additional algorithms, such as Doppler analysis, further increases computation time. The general purpose computing on GPU (GPGPU) has been used successfully for structural OCT imaging, but real-time 3-D imaging of flows has so far not been presented. We have developed software for structural and Doppler OCT processing capable of visualization of two-dimensional (2-D) data (2000 A-scans, 2048 pixels per spectrum) with an image refresh rate higher than 120 Hz. The 3-D imaging of 100×100 A-scans data is performed at a rate of about 9 volumes per second. We describe the software architecture, organization of threads, and optimization. Screen shots recorded during real-time imaging of a flow phantom and the human eye are presented.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Correspondence-1
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ISSN:1560-2281
1560-2281
DOI:10.1117/1.JBO.17.10.100502