Axial super-resolution for optical coherence tomography with the iterative adaptive approach

Jos de Wit; Kostas Angelopoulos; Jeroen Kalkman; George-Othon Glentis

doi:10.1117/12.2616022

9 December 2021 Axial super-resolution for optical coherence tomography with the iterative adaptive approach

Jos de Wit, Kostas Angelopoulos, Jeroen Kalkman, George-Othon Glentis

Proceedings Volume 11924, Optical Coherence Imaging Techniques and Imaging in Scattering Media IV; 119240E (2021) https://doi.org/10.1117/12.2616022
Event: European Conferences on Biomedical Optics, 2021, Online Only

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.

Citation Download Citation

Jos de Wit, Kostas Angelopoulos, Jeroen Kalkman, and George-Othon Glentis "Axial super-resolution for optical coherence tomography with the iterative adaptive approach", Proc. SPIE 11924, Optical Coherence Imaging Techniques and Imaging in Scattering Media IV, 119240E (9 December 2021); https://doi.org/10.1117/12.2616022

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available