Deep learning aided epidural needle guidance using a forward-view polarization-sensitive optical coherence tomography probe

Chen Wang; Yunlong Liu; Paul Calle; Qinghao Zhang; Feng Yan; Kar-Ming Fung; Sixia Chen; Chongle Pan; Qinggong Tang

doi:10.1117/12.3034643

21 October 2024 Deep learning aided epidural needle guidance using a forward-view polarization-sensitive optical coherence tomography probe

Chen Wang, Yunlong Liu, Paul Calle, Qinghao Zhang, Feng Yan, Kar-Ming Fung, Sixia Chen, Chongle Pan, Qinggong Tang

Author Affiliations +

Proceedings Volume 13186, SPIE Translational Biophotonics + Additive Manufacturing for Photonics 2024; 1318614 (2024) https://doi.org/10.1117/12.3034643
Event: SPIE Translational Biophotonics + Additive Manufacturing for Photonics, 2024, Houston, Texas, United States

Conference Poster

Abstract

Accurate guidance of the epidural needle is important for ensuring the safety and efficacy of epidural anesthesia. Within this study, we proposed an endoscopic system built on polarization-sensitive optical coherence tomography (PS-OCT). To evaluate its viability, we performed experiments on ex-vivo human epidural specimens. Throughout the experimental process, we captured and analyzed various layers of spinal tissue that the epidural needle goes through during the surgery, including subcutaneous fat, supraspinous ligament, interspinous ligament, ligamentum flavum, epidural space, dura, and the spinal cord. Each of these tissue layers had distinctive OCT imaging patterns. Furthermore, we employed deep learning techniques for automated tissue recognition.

Citation Download Citation

Chen Wang, Yunlong Liu, Paul Calle, Qinghao Zhang, Feng Yan, Kar-Ming Fung, Sixia Chen, Chongle Pan, and Qinggong Tang "Deep learning aided epidural needle guidance using a forward-view polarization-sensitive optical coherence tomography probe", Proc. SPIE 13186, SPIE Translational Biophotonics + Additive Manufacturing for Photonics 2024, 1318614 (21 October 2024); https://doi.org/10.1117/12.3034643

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