Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/81832
Title: Spectral estimation optical coherence tomography for axial super-resolution
Authors: Liu, Xinyu
Chen, Si
Cui, Dongyao
Yu, Xiaojun
Liu, Linbo
Keywords: Optical coherence tomography
Medical optics instrumentation
Issue Date: 2015
Source: Liu, X., Chen, S., Cui, D., Yu, X., & Liu, L. (2015). Spectral estimation optical coherence tomography for axial super-resolution. Optics Express, 23(20), 26521-26532.
Series/Report no.: Optics Express
Abstract: The depth reflectivity profile of Fourier domain optical coherence tomography (FD-OCT) is estimated from the inverse Fourier transform of the spectral interference signals (interferograms). As a result, the axial resolution is fundamentally limited by the coherence length of the light source. We demonstrate that using the autoregressive spectral estimation technique instead of the inverse Fourier transform, to analyze the spectral interferograms can improve the axial resolution. We name this method spectral estimation OCT (SE-OCT). SE-OCT breaks the coherence length limitation and improves the axial resolution by a factor of up to 4.7 compared with FD-OCT. Furthermore, SE-OCT provides complete sidelobe suppression in the depth point-spread function, further improving the image quality. We demonstrate that these technical advances enables clear identification of corneal endothelium anatomical details ex vivo that cannot be identified using the corresponding FD-OCT. Given that SE-OCT can be implemented in the FD-OCT devices without any hardware changes, the new capabilities provided by SE-OCT are likely to offer immediate improvements to the diagnosis and management of diseases based on OCT imaging.
URI: https://hdl.handle.net/10356/81832
http://hdl.handle.net/10220/41000
ISSN: 1094-4087
DOI: 10.1364/OE.23.026521
Rights: © 2015 Optical Society of America.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles
SCBE Journal Articles

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