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

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DOIResolve DOI: http://doi.org/10.1117/12.842402
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TypeArticle
Proceedings titleOptical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIV
Series titleProceedings of SPIE; no. 7554
ConferenceBIOS - SPIE Photonics West 2010 : San Francisco, California, USA, January 23-28, 2010
ISSN0277-786X
Article number75542W
SubjectOptical Coherence Tomography,; Swept Source OCT; Nonlinear optical signal processing
AbstractDifferent 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.
Publication date
LanguageEnglish
AffiliationNRC Industrial Materials Institute (IMI-IMI); NRC Institute for Microstructural Sciences (IMS-ISM); National Research Council Canada
Peer reviewedYes
NRC number52438
NPARC number14522252
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Record identifierf108ef8a-30bd-42f1-9629-36c69253ba13
Record created2010-03-01
Record modified2016-05-09
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