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

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

Abstract 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 spe...

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Bibliographic Details
Main Authors: Yijie Zhang, Tairan Liu, Manmohan Singh, Ege Çetintaş, Yilin Luo, Yair Rivenson, Kirill V. Larin, Aydogan Ozcan
Format: Article
Language:English
Published: Nature Publishing Group 2021-07-01
Series:Light: Science & Applications
Online Access:https://doi.org/10.1038/s41377-021-00594-7

Internet

https://doi.org/10.1038/s41377-021-00594-7

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