16 July 2009 Using nonequispaced fast Fourier transformation to process optical coherence tomography signals
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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.
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Dierck Hillmann, Gereon Hüttmann, 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); doi: 10.1117/12.831789; https://doi.org/10.1117/12.831789
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