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Optimal signal processing of nonlinearity in swept-source and spectral-domain optical coherence tomography

 
 
Affiliation:
NRC Industrial Materials Institute; National Research Council Canada
Language:
English
Type:
Article
Published in:
Applied Optics
Date:
2012
Pages :
1701-1708
NRCC #:
139283
NPArC #:
21059285
Abstract:
We demonstrate the efficiency of the convolution using an optimized Kaiser–Bessel window to resample nonlinear data in wavenumber for Fourier-domain optical coherence tomography (OCT). We extend our previous experimental demonstration that was performed with a specific swept-source nonlinearity. The method is now applied to swept-source OCT data obtained for various simulated swept-source nonlinearities as well as spectral-domain OCT data obtained from both simulations and experiments. Results show that the new optimized method is the most efficient for handling all the different types of nonlinearities in the wavenumber domain that one can encounter in normal practice. The efficiency of the method is evaluated through comparison with common methods using resampling through interpolation prior to performing a fast-Fourier transform and with the accurate but time-consuming discrete Fourier transform for unequally spaced data, which involves Vandermonde matrices.
 
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