CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume PC12379 > Article
Presentation
9 March 2023 Deep learning based on co-registered ultrasound and photoacoustic imaging improves assessment of rectal cancer chemoradiotherapy response
Yixiao Lin, Sitai Kou, Haolin Nie, Quing Zhu
Author Affiliations +
Proceedings Volume PC12379, Photons Plus Ultrasound: Imaging and Sensing 2023; PC123790C (2023) https://doi.org/10.1117/12.2649328
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
We present results of rectal cancer treatment response assessment using co-registered ultrasound and photoacoustic imaging from over 20 in vivo patients. We develop a deep learning model based on co-registered dual-modality images with individualized prior information. Compared to models using only ultrasound images, our model identifies complete treatment responders with significantly higher accuracy. We achieve a 3-class classification accuracy (normal, cancer, and image artifact) of 89.1±0.8%. To facilitate surgeons’ decision-making, we generate localized hotspots to indicate suspicious cancer regions based on model predictions. We conclude that the addition of photoacoustic imaging to conventional ultrasound improves treatment response assessment.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Yixiao Lin, Sitai Kou, Haolin Nie, and Quing Zhu "Deep learning based on co-registered ultrasound and photoacoustic imaging improves assessment of rectal cancer chemoradiotherapy response", Proc. SPIE PC12379, Photons Plus Ultrasound: Imaging and Sensing 2023, PC123790C (9 March 2023); https://doi.org/10.1117/12.2649328
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
Cancer
Ultrasonography
Photoacoustic imaging
Tumor growth modeling
Photoacoustic spectroscopy
CRTs
Surgery
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top