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Selection of convolution kernel in non-uniform fast Fourier transform for Fourier domain optical coherence tomography |
Optics Express, Vol. 19, Issue 27, pp. 26891-26904 (2011)
http://dx.doi.org/10.1364/OE.19.026891
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Abstract
Gridding based non-uniform fast Fourier transform (NUFFT) has recently been shown as an efficient method of processing non-linearly sampled data from Fourier-domain optical coherence tomography (FD-OCT). This method requires selecting design parameters, such as kernel function type, oversampling ratio and kernel width, to balance between computational complexity and accuracy. The Kaiser-Bessel (KB) and Gaussian kernels have been used independently on the NUFFT algorithm for FD-OCT. This paper compares the reconstruction error and speed for the optimization of these design parameters and justifies particular kernel choice for FD-OCT applications. It is found that for on-the-fly computation of the kernel function, the simpler Gaussian function offers a better accuracy-speed tradeoff. The KB kernel, however, is a better choice in the pre-computed kernel mode of NUFFT, in which the processing speed is no longer dependent on the kernel function type. Finally, the algorithm is used to reconstruct in-vivo images of a human finger at a camera limited 50k A-line/s.
© 2011 OSA
OCIS Codes
(170.4500) Medical optics and biotechnology : Optical coherence tomography
(070.2025) Fourier optics and signal processing : Discrete optical signal processing
(110.3010) Imaging systems : Image reconstruction techniques
ToC Category:
Medical Optics and Biotechnology
History
Original Manuscript: October 14, 2011
Revised Manuscript: December 3, 2011
Manuscript Accepted: December 5, 2011
Published: December 16, 2011
Virtual Issues
Vol. 7, Iss. 2 Virtual Journal for Biomedical Optics
Citation
Kenny K.H. Chan and Shuo Tang, "Selection of convolution kernel in non-uniform fast Fourier transform for Fourier domain optical coherence tomography," Opt. Express 19, 26891-26904 (2011)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=oe-19-27-26891
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