TY - GEN
T1 - Using nonequispaced fast Fourier transformation to process optical coherence tomography signals
AU - Hillmann, D.
AU - Hüttmann, G.
AU - Koch, P.
PY - 2009
Y1 - 2009
N2 - 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 SPIE-OSA.
AB - 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 SPIE-OSA.
UR - https://www.scopus.com/pages/publications/77951525459
UR - https://www.scopus.com/inward/citedby.url?scp=77951525459&partnerID=8YFLogxK
U2 - 10.1117/12.831789
DO - 10.1117/12.831789
M3 - Conference contribution
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Optical Coherence Tomography and Coherence Techniques IV
T2 - Optical Coherence Tomography and Coherence Techniques IV
Y2 - 14 June 2009 through 17 June 2009
ER -