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Coded aperture snapshot spectral imaging fundus camera

Spectral imaging holds great promise for the non-invasive diagnosis of retinal diseases. However, to acquire a spectral datacube, conventional spectral cameras require extensive scanning, leading to a prolonged acquisition. Therefore, they are inapplicable to retinal imaging because of the rapid eye...

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Detalles Bibliográficos
Autores principales: Zhao, Ruixuan, Yang, Chengshuai, Gao, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197728/
https://www.ncbi.nlm.nih.gov/pubmed/37214892
http://dx.doi.org/10.21203/rs.3.rs-2515559/v1
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author Zhao, Ruixuan
Yang, Chengshuai
Gao, Liang
author_facet Zhao, Ruixuan
Yang, Chengshuai
Gao, Liang
author_sort Zhao, Ruixuan
collection PubMed
description Spectral imaging holds great promise for the non-invasive diagnosis of retinal diseases. However, to acquire a spectral datacube, conventional spectral cameras require extensive scanning, leading to a prolonged acquisition. Therefore, they are inapplicable to retinal imaging because of the rapid eye movement. To address this problem, we built a coded aperture snapshot spectral imaging fundus camera, which captures a large-sized spectral datacube in a single exposure. Moreover, to reconstruct a high-resolution image, we developed a robust deep unfolding algorithm using a state-of-the-art spectral transformer in the denoising network. We demonstrated the system performance on both standard targets and an eye phantom.
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spelling pubmed-101977282023-05-20 Coded aperture snapshot spectral imaging fundus camera Zhao, Ruixuan Yang, Chengshuai Gao, Liang Res Sq Article Spectral imaging holds great promise for the non-invasive diagnosis of retinal diseases. However, to acquire a spectral datacube, conventional spectral cameras require extensive scanning, leading to a prolonged acquisition. Therefore, they are inapplicable to retinal imaging because of the rapid eye movement. To address this problem, we built a coded aperture snapshot spectral imaging fundus camera, which captures a large-sized spectral datacube in a single exposure. Moreover, to reconstruct a high-resolution image, we developed a robust deep unfolding algorithm using a state-of-the-art spectral transformer in the denoising network. We demonstrated the system performance on both standard targets and an eye phantom. American Journal Experts 2023-05-10 /pmc/articles/PMC10197728/ /pubmed/37214892 http://dx.doi.org/10.21203/rs.3.rs-2515559/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Zhao, Ruixuan
Yang, Chengshuai
Gao, Liang
Coded aperture snapshot spectral imaging fundus camera
title Coded aperture snapshot spectral imaging fundus camera
title_full Coded aperture snapshot spectral imaging fundus camera
title_fullStr Coded aperture snapshot spectral imaging fundus camera
title_full_unstemmed Coded aperture snapshot spectral imaging fundus camera
title_short Coded aperture snapshot spectral imaging fundus camera
title_sort coded aperture snapshot spectral imaging fundus camera
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197728/
https://www.ncbi.nlm.nih.gov/pubmed/37214892
http://dx.doi.org/10.21203/rs.3.rs-2515559/v1
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