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

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DOIResolve DOI: http://doi.org/10.1364/AO.51.001701
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TypeArticle
Journal titleApplied Optics
Volume51
Issue11
Pages17011708; # of pages: 8
AbstractWe 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.
Publication date
LanguageEnglish
AffiliationNRC Industrial Materials Institute; National Research Council Canada
Peer reviewedYes
NRC number139283
NPARC number21059285
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Record identifiere62d5caf-fb81-4307-a5cf-dd1ad6dd6918
Record created2012-12-03
Record modified2016-05-09
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