Paper
16 July 2009 Using nonequispaced fast Fourier transformation to process optical coherence tomography signals
Dierck Hillmann, Gereon Hüttmann, Peter Koch
Author Affiliations +
Abstract
In OCT imaging the spectra that are used for Fourier transformation are in general not acquired linearly in k-space. Therefore one needs to apply an algorithm to re-sample the data and finally do the Fourier Transformation to gain depth information. We compare three algorithms (Non-Equispaced DFT, interpolated FFT and Non-Equispaced FFT) for this purpose in terms of speed and accuracy. The optimal algorithm depends on the OCT device (speed, SNR) and the object.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dierck Hillmann, Gereon Hüttmann, and Peter Koch "Using nonequispaced fast Fourier transformation to process optical coherence tomography signals", Proc. SPIE 7372, Optical Coherence Tomography and Coherence Techniques IV, 73720R (16 July 2009); https://doi.org/10.1117/12.831789
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CITATIONS
Cited by 16 scholarly publications.
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KEYWORDS
Signal processing

Optical coherence tomography

Biomedical optics

Current controlled current source

Signal to noise ratio

Tomography

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