Blind, all-depth dispersion compensation and blind spectral calibration

Krzysztof A. Maliszewski; Magdalena A. Urbańska; Varvara Vetrova; Sylwia M. Kolenderska

doi:10.1117/12.3005561

12 March 2024 Blind, all-depth dispersion compensation and blind spectral calibration

Krzysztof A. Maliszewski, Magdalena A. Urbańska, Varvara Vetrova, Sylwia M. Kolenderska

Proceedings Volume 12830, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII; 1283010 (2024) https://doi.org/10.1117/12.3005561
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

We present a neural network able to fully linearise an OCT image without any a priori knowledge about the spectrometer characteristics or the extent of dispersion in the interferometer and the object. Unlike the earlier solutions, this blind line-arisation is not biased towards a specific object, nor its dispersion characteristics, and in the future can be made independent of the light source parameters.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Krzysztof A. Maliszewski, Magdalena A. Urbańska, Varvara Vetrova, and Sylwia M. Kolenderska "Blind, all-depth dispersion compensation and blind spectral calibration", Proc. SPIE 12830, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII, 1283010 (12 March 2024); https://doi.org/10.1117/12.3005561

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