@inproceedings{055648e7f2ed40cf866bcfb6d17aad38,
title = "Using nonequispaced fast Fourier transformation to process optical coherence tomography signals",
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. {\textcopyright} 2009 SPIE-OSA.",
author = "D. Hillmann and G. H{\"u}ttmann and P. Koch",
year = "2009",
doi = "10.1117/12.831789",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
booktitle = "Optical Coherence Tomography and Coherence Techniques IV",
note = "Optical Coherence Tomography and Coherence Techniques IV ; Conference date: 14-06-2009 Through 17-06-2009",
}