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20 June 2024 Order-specific removal of nonlinearity from optical coherence tomography signals
Krzysztof A. Maliszewski, Varvara Vetrova, Sylwia M. Kolenderska
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Proceedings Volume 13006, Biomedical Spectroscopy, Microscopy, and Imaging III; 130060I (2024) https://doi.org/10.1117/12.3016578
Event: SPIE Photonics Europe, 2024, Strasbourg, France
Abstract
We present two neural networks: one capable of processing a raw spectrum into an A-scan with the second-order nonlinearity removed and another for processing a raw spectrum into an A-scan with the third-order nonlinearity removed. An algorithm is also proposed to enable to use these networks in a sequence for removal of both nonlinearities. The presented approaches allow for either independent switching off of each order or the simultaneous removal of all orders, offering a tool for analysing the effects of each nonlinearity order individually or simply for performing all-depth, blind OCT data linearisation.
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(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Krzysztof A. Maliszewski, Varvara Vetrova, and Sylwia M. Kolenderska "Order-specific removal of nonlinearity from optical coherence tomography signals", Proc. SPIE 13006, Biomedical Spectroscopy, Microscopy, and Imaging III, 130060I (20 June 2024); https://doi.org/10.1117/12.3016578
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KEYWORDS
Optical coherence tomography
Neural networks
Dispersion
Image quality
Image resolution
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