Real-time reference A-line subtraction and saturation artifact removal using graphics processing unit for high-frame-rate Fourier-domain optical coherence tomography video imaging

Variations in the spectral shape and the amplitude of the optical coherence tomography (OCT) signal and reference cause fixed-pattern noise and light reflected from a highly specular surface might cause saturation artifacts. In real-time video-rate OCT imaging, these effects make the OCT video image appear unstable and difficult to view. To elim- inate these problems, we implemented real-time reference A-line subtrac- tion and saturation detection and correction on standard Fourier-domain optical coherence tomography (FD-OCT) video imaging frame-by-frame. This real-time OCT data processing method eliminates the need for the physical reference measurement procedure and automatically detects and corrects saturated A-scans if there is any within one frame. This tech- nique is also robust to the reference and signal amplitude variations, and provides higher signal-to-noise ratio compared to the normal fixed- reference subtraction method. To implement an effective interventional OCT imaging system, the technique was integrated along with other graphics processing unit-based OCT processing techniques (resampling, dispersion compensation, fast Fourier transform, log-scaling, and soft- thresholding). The real-time fixed-pattern artifact-free FD-OCT imaging was achieved at 70 frames∕s for a frame size of 1000 (lateral) by 1024 (axial) pixels. The theoretical maximum processing and rendering rate was measured to be 266;000 A-scans∕s. © 2012 Society of Photo-Optical Instru-

[1]  J. Izatt,et al.  Swept source optical coherence tomography using an all-fiber 1300-nm ring laser source. , 2005, Journal of biomedical optics.

[2]  Adrian Bradu,et al.  Real-time resampling in Fourier domain optical coherence tomography using a graphics processing unit. , 2010, Journal of biomedical optics.

[3]  Maciej Wojtkowski,et al.  Complex and Coherence Noise Free Fourier Domain Optical Coherence Tomography , 2008 .

[4]  Sucbei Moon,et al.  Reference spectrum extraction and fixed-pattern noise removal in optical coherence tomography , 2010, Optics express.

[5]  Marinko Sarunic,et al.  Detailed visualization of the anterior segment using fourier-domain optical coherence tomography. , 2008, Archives of ophthalmology.

[6]  A. Rollins,et al.  Intracoronary optical coherence tomography: a comprehensive review clinical and research applications. , 2009, JACC. Cardiovascular interventions.

[7]  Joseph A. Izatt,et al.  Robust automatic segmentation of corneal layer boundaries in SDOCT images using graph theory and dynamic programming , 2011, Biomedical optics express.

[8]  Kang Zhang,et al.  Real-time 4D signal processing and visualization using graphics processing unit on a regular nonlinear-k Fourier-domain OCT system , 2010, Optics express.

[9]  Yuuki Watanabe,et al.  Real-time display on Fourier domain optical coherence tomography system using a graphics processing unit. , 2009, Journal of biomedical optics.

[10]  Kang Zhang,et al.  Real-time numerical dispersion compensation using graphics processing unit for Fourier-domain optical coherence tomography , 2011 .

[11]  Kang Zhang,et al.  Real-time intraoperative 4D full-range FD-OCT based on the dual graphics processing units architecture for microsurgery guidance , 2011, Biomedical optics express.

[12]  Kate Sugden,et al.  Processing and rendering of Fourier domain optical coherence tomography images at a line rate over 524 kHz using a graphics processing unit. , 2011, Journal of biomedical optics.

[13]  Gerald Matz,et al.  Artefact reduction for cell migration visualization using spectral domain optical coherence tomography , 2011, Journal of biophotonics.