Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Optical Coherence Imaging Techniques and Imaging in Scattering Media V
  • Technical Digest Series (Optica Publishing Group, 2023),
  • paper 126320X
  • https://doi.org/10.1117/12.2668845

2-fold resolution increase and all-depth linearization using a neural network

Not Accessible

Your library or personal account may give you access

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 SPIE

PDF Article
More Like This
Simultaneous spectral calibration and dispersion compensation using a thin piece of glass

Sylwia M. Kolenderska and Krzysztof A. Maliszewski
1263222 European Conference on Biomedical Optics (ECBO) 2023

All-Optical Computing of a Group of Linear Transformations Using a Polarization Multiplexed Diffractive Neural Network

Jingxi Li, Yi-Chun Hung, Onur Kulce, Deniz Mengu, and Aydogan Ozcan
SM3J.3 CLEO: Science and Innovations (CLEO:S&I) 2023

Demarcation of brain and tumor tissue with optical coherence tomography using prior neural networks

Paul Strenge, Birgit Lange, Wolfgang Draxinger, Christian Hagel, Christin Grill, Veit Danicke, Dirk Theisen-Kunde, Sonja Spahr-Hess, Matteo M. Bonsanto, Robert Huber, Heinz Handels, and Ralf Brinkmann
126321P European Conference on Biomedical Optics (ECBO) 2023

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.