Computational optical coherence tomography [Invited]

Yuan-Zhi Liu; Fredrick A South; Yang Xu; P Scott Carney; Stephen A Boppart

doi:10.1364/BOE.8.001549

Computational optical coherence tomography [Invited]

Biomed Opt Express. 2017 Feb 16;8(3):1549-1574. doi: 10.1364/BOE.8.001549. eCollection 2017 Mar 1.

Authors

Yuan-Zhi Liu^{1

2}, Fredrick A South^{1

2}, Yang Xu^{1

2}, P Scott Carney^{1

2}, Stephen A Boppart^{1

2

3}

Affiliations

¹ Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, USA.
² Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, USA.
³ Departments of Bioengineering and Internal Medicine, University of Illinois at Urbana-Champaign, USA.

Abstract

Optical coherence tomography (OCT) has become an important imaging modality with numerous biomedical applications. Challenges in high-speed, high-resolution, volumetric OCT imaging include managing dispersion, the trade-off between transverse resolution and depth-of-field, and correcting optical aberrations that are present in both the system and sample. Physics-based computational imaging techniques have proven to provide solutions to these limitations. This review aims to outline these computational imaging techniques within a general mathematical framework, summarize the historical progress, highlight the state-of-the-art achievements, and discuss the present challenges.

Keywords: (100.3175) Interferometric imaging; (100.3190) Inverse problems; (110.1085) Adaptive imaging; (110.1758) Computational imaging; (110.4500) Optical coherence tomography.

Abstract

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