CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume PC12367 > Article
Presentation
9 March 2023 Improving the estimation accuracy of the scatterer density estimation by accounting for the spatial property of the noise in optical coherence tomography
Thitiya Seesan, Pradipta Mukherjee, Ibrahim Abd El-Sadek, Yiheng Lim, Shuichi Makita, Prathan Buranasiri, Yoshiaki Yasuno
Author Affiliations +
Proceedings Volume PC12367, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII; PC123670Z (2023) https://doi.org/10.1117/12.2648798
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
A new deep-learning-based scatterer density estimator (SDE) is demonstrated. The SDE is trained by pairs of numerically simulated OCT images and its background parameters including the scatterer density, resolutions, and signal-to-noise ratio. For this simulation, we introduced a new noise model that accurately accounts for the spatial properties of three noise types: shot, relative-intensity, and detector noise. This SDE was experimentally validated by phantom and in-vitro tumor spheroid measurements. Significantly improved accuracy was found in comparison to our old SDE being trained with a naïve noise model that does not account for the spatial noise property.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Thitiya Seesan, Pradipta Mukherjee, Ibrahim Abd El-Sadek, Yiheng Lim, Shuichi Makita, Prathan Buranasiri, and Yoshiaki Yasuno "Improving the estimation accuracy of the scatterer density estimation by accounting for the spatial property of the noise in optical coherence tomography", Proc. SPIE PC12367, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII, PC123670Z (9 March 2023); https://doi.org/10.1117/12.2648798
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
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
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 PRESENTATION
WATCH
PRESENTATION SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
KEYWORDS
Optical coherence tomography
Signal to noise ratio
Computer simulations
Data modeling
Neural networks
Scattering
Sensors
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top