Axial super-resolution for optical coherence tomography with the iterative adaptive approach
Conference Paper
(2021)
Author(s)
Jos De Wit (TU Delft - ImPhys/Computational Imaging)
Kostas Angelopoulos (University of Peloponnese)
Jeroen Kalkman (TU Delft - ImPhys/Computational Imaging)
George Othon Glentis (University of Peloponnese)
Research Group
ImPhys/Computational Imaging
DOI related publication
https://doi.org/10.1117/12.2616022
To reference this document use:
https://resolver.tudelft.nl/uuid:6ae022ff-2735-40d0-aff7-59fcefb6cc25
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Publication Year
2021
Language
English
Research Group
ImPhys/Computational Imaging
Article number
119240E
ISBN (electronic)
978-151064714-5
Event
Optical Coherence Imaging Techniques and Imaging in Scattering Media IV 2021 (2021-06-20 - 2021-06-24), Virtual, Online, Germany
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Abstract
Spectral estimation can improve axial resolution for optical coherence tomography. Using a fast implementation of the non-parametric iterative adaptive approach, we significantly improve resolution and image quality in processing times below 2 s.
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