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Dispersion mapping as a simple postprocessing step for Fourier domain Optical Coherence Tomography data

Optical Coherence Tomography (OCT) was originally conceived as a volumetric imaging method. Quickly, OCT images went beyond structural data and started to provide functional information about an object enabling for example visualization of blood flow or tissue elasticity. Minimal or no need for syst...

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Autores principales: Kolenderska, Sylwia M., Bräuer, Bastian, Vanholsbeeck, Frédérique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006180/
https://www.ncbi.nlm.nih.gov/pubmed/29915367
http://dx.doi.org/10.1038/s41598-018-27552-5
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author Kolenderska, Sylwia M.
Bräuer, Bastian
Vanholsbeeck, Frédérique
author_facet Kolenderska, Sylwia M.
Bräuer, Bastian
Vanholsbeeck, Frédérique
author_sort Kolenderska, Sylwia M.
collection PubMed
description Optical Coherence Tomography (OCT) was originally conceived as a volumetric imaging method. Quickly, OCT images went beyond structural data and started to provide functional information about an object enabling for example visualization of blood flow or tissue elasticity. Minimal or no need for system alterations make functional OCT techniques useful in performing multimodal imaging, where differently contrasted images are produced in a single examination. We propose a method that further extends the current capabilities of OCT and requires no modifications to the system. Our algorithm provides information about the sample’s Group Velocity Dispersion (GVD) and can be easily applied to any OCT dataset acquired with a Fourier domain system. GVD is calculated from the difference in material’s optical thickness measured from two images obtained for different spectral ranges. Instead of using two separate light sources, we propose to apply a filter-based, numerical procedure that synthesizes two spectra from one broadband spectrum. We discuss the limitations of the method and present GVD values for BK7 and sapphire and ocular media: cornea and aqueous humour of a rat eye. Results corroborate previous measurements using two different light sources.
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spelling pubmed-60061802018-06-26 Dispersion mapping as a simple postprocessing step for Fourier domain Optical Coherence Tomography data Kolenderska, Sylwia M. Bräuer, Bastian Vanholsbeeck, Frédérique Sci Rep Article Optical Coherence Tomography (OCT) was originally conceived as a volumetric imaging method. Quickly, OCT images went beyond structural data and started to provide functional information about an object enabling for example visualization of blood flow or tissue elasticity. Minimal or no need for system alterations make functional OCT techniques useful in performing multimodal imaging, where differently contrasted images are produced in a single examination. We propose a method that further extends the current capabilities of OCT and requires no modifications to the system. Our algorithm provides information about the sample’s Group Velocity Dispersion (GVD) and can be easily applied to any OCT dataset acquired with a Fourier domain system. GVD is calculated from the difference in material’s optical thickness measured from two images obtained for different spectral ranges. Instead of using two separate light sources, we propose to apply a filter-based, numerical procedure that synthesizes two spectra from one broadband spectrum. We discuss the limitations of the method and present GVD values for BK7 and sapphire and ocular media: cornea and aqueous humour of a rat eye. Results corroborate previous measurements using two different light sources. Nature Publishing Group UK 2018-06-18 /pmc/articles/PMC6006180/ /pubmed/29915367 http://dx.doi.org/10.1038/s41598-018-27552-5 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kolenderska, Sylwia M.
Bräuer, Bastian
Vanholsbeeck, Frédérique
Dispersion mapping as a simple postprocessing step for Fourier domain Optical Coherence Tomography data
title Dispersion mapping as a simple postprocessing step for Fourier domain Optical Coherence Tomography data
title_full Dispersion mapping as a simple postprocessing step for Fourier domain Optical Coherence Tomography data
title_fullStr Dispersion mapping as a simple postprocessing step for Fourier domain Optical Coherence Tomography data
title_full_unstemmed Dispersion mapping as a simple postprocessing step for Fourier domain Optical Coherence Tomography data
title_short Dispersion mapping as a simple postprocessing step for Fourier domain Optical Coherence Tomography data
title_sort dispersion mapping as a simple postprocessing step for fourier domain optical coherence tomography data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006180/
https://www.ncbi.nlm.nih.gov/pubmed/29915367
http://dx.doi.org/10.1038/s41598-018-27552-5
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