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Proceedings Paper

Signal processing with unequally spaced data in Fourier-domain optical coherence tomography
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Paper Abstract

Different algorithms for performing Fourier transforms with unequally sampled data in wavenumber space for Fourier-domain optical coherence tomography are considered. The efficiency of these algorithms is evaluated from point-spread functions obtained with a swept-source optical coherence tomography system and from computational time. Images of a 4-layer phantom processed with these different algorithms are compared. We show that convolving the data with an optimized Kaiser-Bessel window allowing a small oversampling factor before computing the fast Fourier transform provides the optimal trade-off between image quality and computational time.

Paper Details

Date Published: 19 February 2010
PDF: 4 pages
Proc. SPIE 7554, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIV, 75542W (19 February 2010); doi: 10.1117/12.842402
Show Author Affiliations
Sébastien Vergnole, National Research Council Canada (Canada)
Daniel Lévesque, National Research Council Canada (Canada)
Sherif S. Sherif, Univ. of Manitoba (Canada)
Guy Lamouche, National Research Council Canada (Canada)


Published in SPIE Proceedings Vol. 7554:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIV
Joseph A. Izatt; James G. Fujimoto; Valery V. Tuchin, Editor(s)

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