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Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

Computational optical coherence tomography [Invited].

Yuan-Zhi Liu^1,2, Fredrick A South^1,2, Yang Xu^1,2

¹Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, USA.

Biomedical Optics Express

|July 1, 2017

Summary

This summary is machine-generated.

This review explores computational imaging techniques for overcoming limitations in high-speed, high-resolution optical coherence tomography (OCT). It highlights advancements in managing dispersion, resolution trade-offs, and optical aberrations for improved biomedical imaging.

Keywords:

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

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Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

Published on: August 4, 2018

Area of Science:

Biomedical imaging
Optical physics
Computational imaging

Background:

Optical coherence tomography (OCT) is a vital biomedical imaging technique.
Key challenges in OCT include dispersion, resolution trade-offs, and optical aberrations.
Existing limitations hinder high-speed, high-resolution, volumetric OCT imaging.

Purpose of the Study:

To review physics-based computational imaging techniques for OCT.
To present a general mathematical framework for these techniques.
To summarize historical progress and state-of-the-art achievements in OCT computational imaging.

Main Methods:

Review of physics-based computational imaging approaches.
Mathematical framework for analyzing OCT limitations.
Summary of historical development and current advancements.

Main Results:

Computational imaging offers solutions to dispersion and aberration challenges in OCT.
Techniques enable improved transverse resolution and depth-of-field management.
State-of-the-art achievements demonstrate enhanced OCT performance.

Conclusions:

Computational imaging is crucial for advancing OCT capabilities.
Further research is needed to address present challenges in OCT.
These techniques hold significant potential for future biomedical applications.