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

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

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

Author(s) -

Sébastien Vergnole,

Daniel Lévesque,

Sherif S. Sherif,

Guy Lamouche

Publication year - 2010

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.842402

Subject(s) - optical coherence tomography , oversampling , fourier transform , optics , computer science , algorithm , optical tomography , fast fourier transform , coherence (philosophical gambling strategy) , physics , mathematics , telecommunications , mathematical analysis , bandwidth (computing) , quantum mechanics

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.Peer reviewed: YesNRC publication: Ye

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