Open Access
11 July 2012 Graphics processing unit-based dispersion encoded full-range frequency-domain optical coherence tomography
Ling Wang, Bernd Hofer, Jeremy A. Guggenheim, Boris Považay
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Abstract
Dispersion encoded full-range (DEFR) frequency-domain optical coherence tomography (FD-OCT) and its enhanced version, fast DEFR, utilize dispersion mismatch between sample and reference arm to eliminate the ambiguity in OCT signals caused by non-complex valued spectral measurement, thereby numerically doubling the usable information content. By iteratively suppressing asymmetrically dispersed complex conjugate artifacts of OCT-signal pulses the complex valued signal can be recovered without additional measurements, thus doubling the spatial signal range to cover the full positive and negative sampling range. Previously the computational complexity and low processing speed limited application of DEFR to smaller amounts of data and did not allow for interactive operation at high resolution. We report a graphics processing unit (GPU)-based implementation of fast DEFR, which significantly improves reconstruction speed by a factor of more than 90 in respect to CPU-based processing and thereby overcomes these limitations. Implemented on a commercial low-cost GPU, a display line rate of ∼21,000  depth scans/s for 2048  samples/depth scan using 10 iterations of the fast DEFR algorithm has been achieved, sufficient for real-time visualization in situ.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
Ling Wang, Bernd Hofer, Jeremy A. Guggenheim, and Boris Považay "Graphics processing unit-based dispersion encoded full-range frequency-domain optical coherence tomography," Journal of Biomedical Optics 17(7), 077007 (11 July 2012). https://doi.org/10.1117/1.JBO.17.7.077007
Published: 11 July 2012
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CITATIONS
Cited by 9 scholarly publications and 2 patents.
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KEYWORDS
Optical coherence tomography

Visualization

MATLAB

Image processing

Graphics processing units

Algorithm development

Signal processing

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