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, Dierck Hillmann, Gereon Hüttmann, Gereon Hüttmann, Peter Koch, 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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