Deep-learning-based high-speed volumetric dynamic optical coherence tomography

Yusong Liu; Ibrahim Abd El-Sadek; Shuichi Makita; Tomoko Mori; Atsuko Furukawa; Satoshi Matsusaka; Yoshiaki Yasuno

doi:10.1117/12.3003693

13 March 2024 Deep-learning-based high-speed volumetric dynamic optical coherence tomography

Yusong Liu, Ibrahim Abd El-Sadek, Shuichi Makita, Tomoko Mori, Atsuko Furukawa, Satoshi Matsusaka, Yoshiaki Yasuno

Proceedings Volume PC12830, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII; PC128302N (2024) https://doi.org/10.1117/12.3003693
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

We proposed a neural network to generate volumetric dynamic optical coherence tomography (DOCT) from small-number OCT frames. In this study, we used a DOCT method (i.e., logarithmic OCT intensity variance; LIV) and it is applied to tumor spheroid samples. A U-Net-based NN model was trained to generate a LIV image from only 4 OCT frames. The NN-generated LIV was subjectively and objectively compared with conventional LIV images generated from 32 frames. The comparison showed a high similarity between the NN-generated LIV and the conventional LIV. This NN-based method enabled volumetric DOCT with only 6.55 s acquisition time.

Conference Presentation

Citation Download Citation

Yusong Liu, Ibrahim Abd El-Sadek, Shuichi Makita, Tomoko Mori, Atsuko Furukawa, Satoshi Matsusaka, and Yoshiaki Yasuno "Deep-learning-based high-speed volumetric dynamic optical coherence tomography", Proc. SPIE PC12830, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII, PC128302N (13 March 2024); https://doi.org/10.1117/12.3003693

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