Abstract
We demonstrate a novel method for reducing saturation artifacts in spectral-domain optical coherence tomography (SD-OCT) systems. This method is based on a two-level SD-OCT system with a dual-line charge-coupled device (CCD) camera. We compensate the saturated signal detected by the first line using the unsaturated signal detected by the second line. The Fourier transform of the compensated spectrum shows effective suppression of saturation artifacts. This method was also successfully performed on phantom material and skin on a human finger. Our method causes neither back-scattering power loss nor signal-to-noise ratio (SNR) degradation. The only difference between the traditional system and our two-level system is our utilization of the dual-line CCD camera; no additional devices or complex designs are needed.
Highlights
Optical coherence tomography (OCT) has been demonstrated in various biomedical applications
Though Fourier-domain OCT (FD-OCT) has many advantages over time-domain OCT (TD-OCT), FD-OCT is still prone to several kinds of image
Several methods have been reported for reducing these artifacts, and most use a technique that adds an additional phase shift to the OCT signal
Summary
Optical coherence tomography (OCT) has been demonstrated in various biomedical applications. If you take a photo of a flying ball, the blur on the picture is a demonstration of this type of motion artifacts Since this kind of artifacts is prevailing in biomedical applications, several approaches to solving the motion artifacts have already been published [5,6,7]. Due to the line-scan camera detector scheme, saturation artifacts are more significant in SD-OCT. Huang et al [10] attempted to fix saturation artifacts by interpolation They identified A-mode scan lines with saturation points. They replaced these lines by interpolating the adjacent normal A-mode scan lines on the OCT image This method could be effective if saturation scan lines always appear separately. If there are too many continuous saturation A-mode scans, this method is very imprecise and may cause additional errors during OCT image analysis
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