Real-time dispersion-compensated image reconstruction for compressive sensing spectral domain optical coherence tomography.
In this work, we propose a novel dispersion compensation method that enables real-time compressive sensing (CS) spectral domain optical coherence tomography (SD OCT) image reconstruction. We show that dispersion compensation can be incorporated into CS SD OCT by multiplying the dispersion-correcting terms by the undersampled spectral data before CS reconstruction. High-quality SD OCT imaging with dispersion compensation was demonstrated at a speed in excess of 70 frames per s using 40% of the spectral measurements required by the well-known Shannon/Nyquist theory. The data processing and image display were performed on a conventional workstation having three graphics processing units.
Daguang
D
Xu
Yong
Y
Huang
Jin U
JU
Kang
D000465:Algorithms; D019985:Benchmarking; D032084:Citrus sinensis / Q000166:cytology; D003196:Computer Graphics; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D012867:Skin / Q000166:cytology; D013997:Time Factors; D041623:Tomography, Optical Coherence