Abstract
Convolution kernel-based non-uniform fast Fourier transform (NUFFT) is an effective image
reconstruction method for Fourier domain optical coherence tomography. By measuring the
reconstruction error, a general method for finding the optimal parameters of the kernel function is
investigated. Performances in terms of point spread function and computation time are evaluated. The
NUFFT with optimal parameters yields signal sensitivity of over 40 dB, with a computation time that
is decreased by 85% compared with the conventional oversampling NUFFT. In vivo images of finger
tissue are efficiently reconstructed through the proposed reconstruction method.
© 2013 Chinese Optics Letters
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