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Advances in Imaging Technology of Anterior Segment of the Eye
Advances in imaging technology and computer science have allowed the development of newer assessment of the anterior segment, including Corvis ST, Brillouin microscopy, ultrahigh-resolution optical coherence tomography, and artificial intelligence. They enable accurate and precise assessment of stru...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925029/ https://www.ncbi.nlm.nih.gov/pubmed/33688432 http://dx.doi.org/10.1155/2021/9539765 |
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author | Han, Sang Beom Liu, Yu-Chi Mohamed-Noriega, Karim Mehta, Jodhbir S. |
author_facet | Han, Sang Beom Liu, Yu-Chi Mohamed-Noriega, Karim Mehta, Jodhbir S. |
author_sort | Han, Sang Beom |
collection | PubMed |
description | Advances in imaging technology and computer science have allowed the development of newer assessment of the anterior segment, including Corvis ST, Brillouin microscopy, ultrahigh-resolution optical coherence tomography, and artificial intelligence. They enable accurate and precise assessment of structural and biomechanical alterations associated with anterior segment disorders. This review will focus on these 4 new techniques, and a brief overview of these modalities will be introduced. The authors will also discuss the recent advances in research regarding these techniques and potential application of these techniques in clinical practice. Many studies on these modalities have reported promising results, indicating the potential for more detailed comprehensive understanding of the anterior segment tissues. |
format | Online Article Text |
id | pubmed-7925029 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-79250292021-03-08 Advances in Imaging Technology of Anterior Segment of the Eye Han, Sang Beom Liu, Yu-Chi Mohamed-Noriega, Karim Mehta, Jodhbir S. J Ophthalmol Review Article Advances in imaging technology and computer science have allowed the development of newer assessment of the anterior segment, including Corvis ST, Brillouin microscopy, ultrahigh-resolution optical coherence tomography, and artificial intelligence. They enable accurate and precise assessment of structural and biomechanical alterations associated with anterior segment disorders. This review will focus on these 4 new techniques, and a brief overview of these modalities will be introduced. The authors will also discuss the recent advances in research regarding these techniques and potential application of these techniques in clinical practice. Many studies on these modalities have reported promising results, indicating the potential for more detailed comprehensive understanding of the anterior segment tissues. Hindawi 2021-02-23 /pmc/articles/PMC7925029/ /pubmed/33688432 http://dx.doi.org/10.1155/2021/9539765 Text en Copyright © 2021 Sang Beom Han et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Han, Sang Beom Liu, Yu-Chi Mohamed-Noriega, Karim Mehta, Jodhbir S. Advances in Imaging Technology of Anterior Segment of the Eye |
title | Advances in Imaging Technology of Anterior Segment of the Eye |
title_full | Advances in Imaging Technology of Anterior Segment of the Eye |
title_fullStr | Advances in Imaging Technology of Anterior Segment of the Eye |
title_full_unstemmed | Advances in Imaging Technology of Anterior Segment of the Eye |
title_short | Advances in Imaging Technology of Anterior Segment of the Eye |
title_sort | advances in imaging technology of anterior segment of the eye |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925029/ https://www.ncbi.nlm.nih.gov/pubmed/33688432 http://dx.doi.org/10.1155/2021/9539765 |
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