title: Experimental validation of an optimized signal processing method to handle non-linearity in swept-source optical coherence tomography.
abstract: 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.
authors.affiliation: Industrial Materials Institute, National Research Council Canada, Boucherville, QC, J4B 6Y4, Canada. Sebastien.Vergnole@cnrc-nrc.gc.ca
authors.forename: Sébastien
authors.initials: S
authors.lastname: Vergnole
authors.forename: Daniel
authors.initials: D
authors.lastname: Lévesque
authors.forename: Guy
authors.initials: G
authors.lastname: Lamouche
mesh_terms: D000465:Algorithms; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D017711:Nonlinear Dynamics; D009716:Numerical Analysis, Computer-Assisted; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D041623:Tomography, Optical Coherence / Q000379:methods*