Image reconstruction from nonuniformly spaced samples in spectral-domain optical coherence tomography.

Biomedical Optics Express
Jun Ke, Edmund Y Lam

Abstract

In spectral-domain optical coherence tomography (SD-OCT), data samples are collected nonuniformly in the wavenumber domain, requiring a measurement re-sampling process before a conventional fast Fourier transform can be applied to reconstruct an image. This re-sampling necessitates extra computation and often introduces errors in the data. Instead, we develop an inverse imaging approach to reconstruct an SD-OCT image. We make use of total variation (TV) as a constraint to preserve the image edges, and estimate the two-dimensional cross-section of a sample directly from the SD-OCT measurements rather than processing for each A-line. Experimental results indicate that compared with the conventional method, our technique gives a smaller noise residual. The potential of using the TV constraint to suppress sensitivity falloff in SD-OCT is also demonstrated with experiment data.

References

Nov 22, 1991·Science·D HuangC A Puliafito
Oct 30, 2008·Optics Express·Xin ZhangTing-Chung Poon
Apr 21, 2003·Optics Express·R LeitgebAdolf Fercher
Jun 3, 2010·Applied Optics·Maciej Wojtkowski
Jul 3, 2010·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Xin Zhang, Edmund Y Lam
Jul 3, 2010·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Zhimin Xu, Edmund Y Lam
Jan 25, 2011·Biomedical Optics Express·Kenny K H Chan, Shuo Tang
Mar 12, 2011·Applied Optics·Mansik JeonStephen A Boppart

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Citations

Nov 13, 2015·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Edmund Y Lam

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Software Mentioned

FFT
Matlab
NUDFT

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