Paper
11 August 2023 Two-fold resolution increase and all-depth linearization using a neural network
Krzysztof A. Maliszewski, Sylwia M. Kolenderska
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Abstract
A neural network is proposed as a much better performing alternative to Fourier transformation. It processes raw OCT spectra into A-scans with twice better nominal axial resolution which remains intact at all depths even for an uncalibrated spectrometer and uncompensated chromatic dispersion.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Krzysztof A. Maliszewski and Sylwia M. Kolenderska "Two-fold resolution increase and all-depth linearization using a neural network", Proc. SPIE 12632, Optical Coherence Imaging Techniques and Imaging in Scattering Media V, 126320X (11 August 2023); https://doi.org/10.1117/12.2668845
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KEYWORDS
Neural networks

Optical coherence tomography

Evolutionary algorithms

Image retrieval

Spectroscopy

Visible radiation

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