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

Sébastien Vergnole; Daniel Lévesque; Sherif S. Sherif; Guy Lamouche

doi:10.1117/12.842402

19 February 2010 Signal processing with unequally spaced data in Fourier-domain optical coherence tomography

Sébastien Vergnole, Daniel Lévesque, Sherif S. Sherif, Guy Lamouche

Proceedings Volume 7554, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIV; 75542W (2010) https://doi.org/10.1117/12.842402
Event: SPIE BiOS, 2010, San Francisco, California, United States

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.

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Sébastien Vergnole, Daniel Lévesque, Sherif S. Sherif, and Guy Lamouche "Signal processing with unequally spaced data in Fourier-domain optical coherence tomography", Proc. SPIE 7554, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIV, 75542W (19 February 2010); https://doi.org/10.1117/12.842402

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KEYWORDS

Optical coherence tomography

Point spread functions

Signal processing

Fourier transforms

Convolution

Image quality

Image processing

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