Open AccessSignal 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