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Guest Edited Collection: Quantitative and computational techniques in optical coherence tomography

Optical coherence tomography (OCT) is a three-dimensional optical imaging technique, frequently (but not exclusively) used for retinal imaging, that was first reported in the early 1990s. Since this time the technological development of OCT has been strongly influenced by its potential as a medical...

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Autor principal: Munro, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276651/
https://www.ncbi.nlm.nih.gov/pubmed/35821223
http://dx.doi.org/10.1038/s41598-022-15424-y
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author Munro, Peter
author_facet Munro, Peter
author_sort Munro, Peter
collection PubMed
description Optical coherence tomography (OCT) is a three-dimensional optical imaging technique, frequently (but not exclusively) used for retinal imaging, that was first reported in the early 1990s. Since this time the technological development of OCT has been strongly influenced by its potential as a medical imaging technique. The first clinical prototype for use in ophthalmology was completed in 1994, paving the way for the first commercially available ophthalmic OCT system to be released to the market in 1996. Since then, OCT has become a mainstay of ophthalmology. OCT is also widely used in research, in an array of biomedical applications, and increasingly in industrial settings. Although there is still much activity in advancing OCT technology, there has been an increased emphasis in applying OCT to translational research. One direction of this research is in the development of quantitative and computational techniques to aid in the retrieval of clinically useful information from OCT images. This Collection brings together original research articles, which exploit realistic mathematical models of OCT image formation and machine learning approaches to obtain insight not otherwise available from raw OCT images. This includes research for measuring clinically relevant parameters such as retinal nerve fibre layer thickness, fractional flow reserve, and corneal biomechanics, and for performing feature identification and image process tasks.
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spelling pubmed-92766512022-07-14 Guest Edited Collection: Quantitative and computational techniques in optical coherence tomography Munro, Peter Sci Rep Editorial Optical coherence tomography (OCT) is a three-dimensional optical imaging technique, frequently (but not exclusively) used for retinal imaging, that was first reported in the early 1990s. Since this time the technological development of OCT has been strongly influenced by its potential as a medical imaging technique. The first clinical prototype for use in ophthalmology was completed in 1994, paving the way for the first commercially available ophthalmic OCT system to be released to the market in 1996. Since then, OCT has become a mainstay of ophthalmology. OCT is also widely used in research, in an array of biomedical applications, and increasingly in industrial settings. Although there is still much activity in advancing OCT technology, there has been an increased emphasis in applying OCT to translational research. One direction of this research is in the development of quantitative and computational techniques to aid in the retrieval of clinically useful information from OCT images. This Collection brings together original research articles, which exploit realistic mathematical models of OCT image formation and machine learning approaches to obtain insight not otherwise available from raw OCT images. This includes research for measuring clinically relevant parameters such as retinal nerve fibre layer thickness, fractional flow reserve, and corneal biomechanics, and for performing feature identification and image process tasks. Nature Publishing Group UK 2022-07-12 /pmc/articles/PMC9276651/ /pubmed/35821223 http://dx.doi.org/10.1038/s41598-022-15424-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Editorial
Munro, Peter
Guest Edited Collection: Quantitative and computational techniques in optical coherence tomography
title Guest Edited Collection: Quantitative and computational techniques in optical coherence tomography
title_full Guest Edited Collection: Quantitative and computational techniques in optical coherence tomography
title_fullStr Guest Edited Collection: Quantitative and computational techniques in optical coherence tomography
title_full_unstemmed Guest Edited Collection: Quantitative and computational techniques in optical coherence tomography
title_short Guest Edited Collection: Quantitative and computational techniques in optical coherence tomography
title_sort guest edited collection: quantitative and computational techniques in optical coherence tomography
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276651/
https://www.ncbi.nlm.nih.gov/pubmed/35821223
http://dx.doi.org/10.1038/s41598-022-15424-y
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