Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data

Optical coherence tomography (OCT) is a widely used non-invasive biomedical imaging modality that can rapidly provide volumetric images of samples. Here, we present a deep learning-based image reconstruction framework that can generate swept-source OCT (SS-OCT) images using undersampled spectral dat...

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Detalles Bibliográficos
Autores principales: Zhang, Yijie, Liu, Tairan, Singh, Manmohan, Çetintaş, Ege, Luo, Yilin, Rivenson, Yair, Larin, Kirill V., Ozcan, Aydogan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322159/
https://www.ncbi.nlm.nih.gov/pubmed/34326306
http://dx.doi.org/10.1038/s41377-021-00594-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322159/
https://www.ncbi.nlm.nih.gov/pubmed/34326306
http://dx.doi.org/10.1038/s41377-021-00594-7

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