Title
Performance Analysis of Reconstruction Techniques for Frequency-Domain Optical-Coherence Tomography
Abstract
We address the issue of noise robustness of reconstruction techniques for frequency-domain optical-coherence tomography (FDOCT). We consider three reconstruction techniques: Fourier, iterative phase recovery, and cepstral techniques. We characterize the reconstructions in terms of their statistical bias and variance and obtain approximate analytical expressions under the assumption of small noise. We also perform Monte Carlo analyses and show that the experimental results are in agreement with the theoretical predictions. It turns out that the iterative and cepstral techniques yield reconstructions with a smaller bias than the Fourier method. The three techniques, however, have identical variance profiles, and their consistency increases linearly as a function of the signal-to-noise ratio.
Year
DOI
Venue
2010
10.1109/TSP.2009.2037077
IEEE Transactions on Signal Processing
Keywords
Field
DocType
Fourier analysis,Monte Carlo methods,cepstral analysis,frequency-domain analysis,iterative methods,optical tomography,signal reconstruction,FDOCT,Fourier method,Monte Carlo analyses,cepstral techniques,frequency-domain optical-coherence tomography,iterative phase recovery,noise robustness,reconstruction techniques,signal-to-noise ratio,Bias,cepstrum,frequency-domain optical-coherence tomography (FDOCT),variance
Frequency domain,Monte Carlo method,Fourier analysis,Control theory,Iterative method,Signal-to-noise ratio,Algorithm,Fourier transform,Speech recognition,Optical tomography,Signal reconstruction,Mathematics
Journal
Volume
Issue
ISSN
58
3
1053-587X
Citations 
PageRank 
References 
1
0.36
1
Authors
3
Name
Order
Citations
PageRank
Chandra Sekhar Seelamantula1487.95
M Unser24335499.89
SeelamantulaChandra Sekhar3201.94