Experimental validation of an optimized signal processing method to handle non-linearity in swept-source optical coherence tomography

We evaluate various signal processing methods to handle the non-linearity in wavenumber space exhibited by most laser sources for swept-source optical coherence tomography. The following methods are compared for the same set of experimental data: non-uniform discrete Fourier transforms with Vandermo...

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Bibliographic Details
Published in:Optics express 2010-05, Vol.18 (10), p.10446-10461
Main Authors: Vergnole, Sébastien, Lévesque, Daniel, Lamouche, Guy
Format: Article
Language:English
Subjects:
Algorithms
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Nonlinear Dynamics
Numerical Analysis, Computer-Assisted
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted
Tomography, Optical Coherence - methods
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Summary:We evaluate various signal processing methods to handle the non-linearity in wavenumber space exhibited by most laser sources for swept-source optical coherence tomography. The following methods are compared for the same set of experimental data: non-uniform discrete Fourier transforms with Vandermonde matrix or with Lomb periodogram, resampling with linear interpolation or spline interpolation prior to fast-Fourier transform (FFT), and resampling with convolution prior to FFT. By selecting an optimized Kaiser-Bessel window to perform the convolution, we show that convolution followed by FFT is the most efficient method. It allows small fractional oversampling factor between 1 and 2, thus a minimal computational time, while retaining an excellent image quality.
ISSN:1094-4087
1094-4087
DOI:10.1364/OE.18.010446