Reconstruction of tissue birefringence from polarization-sensitive optical coherence tomography using machine learning

Ludovick Bégin; Damon T. DePaoli; Brett E. Bouma; Daniel Côté; Martin Villiger

doi:10.1117/12.2578448

5 March 2021 Reconstruction of tissue birefringence from polarization-sensitive optical coherence tomography using machine learning

Ludovick Bégin, Damon T. DePaoli, Brett E. Bouma, Daniel Côté, Martin Villiger

Author Affiliations +

Proceedings Volume 11646, Polarized Light and Optical Angular Momentum for Biomedical Diagnostics; 1164612 (2021) https://doi.org/10.1117/12.2578448
Event: SPIE BiOS, 2021, Online Only

Abstract

Current processing techniques of polarization-sensitive optical coherence tomography (PS-OCT) can recover the tissue’s local, i.e. depth-resolved scalar retardance and optic axis orientation. However, system-induced polarization mode dispersion (PMD) and the presence of speckle in the measured tomograms complicate reconstruction and result in a detrimental trade-off with spatial resolution. We speculate that a machine learning approach should work well for generating an improved reconstruction. By training the model on simulated tomograms that encode the forward model and include system PMD and noise, and by testing the algorithm on experimentally acquired PS-OCT data, we aim to demonstrate a generalized PS-OCT reconstruction tool.

Conference Presentation

Citation Download Citation

Ludovick Bégin, Damon T. DePaoli, Brett E. Bouma, Daniel Côté, and Martin Villiger "Reconstruction of tissue birefringence from polarization-sensitive optical coherence tomography using machine learning", Proc. SPIE 11646, Polarized Light and Optical Angular Momentum for Biomedical Diagnostics, 1164612 (5 March 2021); https://doi.org/10.1117/12.2578448

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