| Download | - View accepted manuscript: Signal processing with unequally spaced data in Fourier-domain optical coherence tomography (PDF, 1.6 MiB)
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| DOI | Resolve DOI: https://doi.org/10.1117/12.842402 |
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| Author | Search for: Vergnole, Sébastien1; Search for: Lévesque, Daniel1; Search for: Sherif, Sherif S.; Search for: Lamouche, Guy1 |
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| Affiliation | - National Research Council of Canada. NRC Industrial Materials Institute
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| Format | Text, Article |
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| Conference | BIOS - SPIE Photonics West 2010 : San Francisco, California, USA, January 23-28, 2010 |
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| Subject | Optical Coherence Tomography,; Swept Source OCT; Nonlinear optical signal processing |
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| 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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| Publication date | 2010-02-19 |
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| Language | English |
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| Peer reviewed | Yes |
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| NRC number | NRCC 52438 |
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| NPARC number | 14522252 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | f108ef8a-30bd-42f1-9629-36c69253ba13 |
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| Record created | 2010-03-01 |
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| Record modified | 2020-04-17 |
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