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Optimal signal processing of nonlinearity in swept-source and spectral-domain optical coherence tomography |
Applied Optics, Vol. 51, Issue 11, pp. 1701-1708 (2012)
http://dx.doi.org/10.1364/AO.51.001701
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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.
© 2012 Optical Society of America
OCIS Codes
(070.4340) Fourier optics and signal processing : Nonlinear optical signal processing
(170.4500) Medical optics and biotechnology : Optical coherence tomography
ToC Category:
Medical Optics and Biotechnology
History
Original Manuscript: September 13, 2011
Revised Manuscript: February 2, 2012
Manuscript Accepted: February 15, 2012
Published: April 5, 2012
Virtual Issues
Vol. 7, Iss. 6 Virtual Journal for Biomedical Optics
Citation
Sébastien Vergnole, Daniel Lévesque, Kostadinka Bizheva, and Guy Lamouche, "Optimal signal processing of nonlinearity in swept-source and spectral-domain optical coherence tomography," Appl. Opt. 51, 1701-1708 (2012)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=ao-51-11-1701
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