Label-free intraoperative assessment of tumor margins with hyperspectral imaging and machine learning (Conference Presentation)

David Pertzborn; Hoang-Ngan Nguyen; Katharina Hüttmann; Jonas Prengel; Günther Ernst; Orlando Guntinas-Lichius; Ferdinand von Eggeling; Franziska Hoffmann

doi:10.1117/12.2668644

16 March 2023 Label-free intraoperative assessment of tumor margins with hyperspectral imaging and machine learning (Conference Presentation)

David Pertzborn, Hoang-Ngan Nguyen, Katharina Hüttmann, Jonas Prengel, Günther Ernst, Orlando Guntinas-Lichius, Ferdinand von Eggeling, Franziska Hoffmann

Author Affiliations +

Proceedings Volume PC12391, Label-free Biomedical Imaging and Sensing (LBIS) 2023; PC123910X (2023) https://doi.org/10.1117/12.2668644
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

The intraoperative assessment of tumor margins of head and neck cancer is crucial for complete tumor resection and patient outcome. The current standard is to take tumor biopsies during surgery for frozen section analysis by a pathologist after H&E staining. This evaluation is time-consuming, subjective, methodologically limited. Optical methods like hyperspectral imaging (HSI) are therefore of high interest to overcome these limitations. We present an approach, that enables delineation of tumor margins with label-free HSI-based histopathological information during surgery using deep learning. We show accuracy on par with traditional intraoperative tumor margin assessment on a data set of seven patients.

Conference Presentation

Citation Download Citation

David Pertzborn, Hoang-Ngan Nguyen, Katharina Hüttmann, Jonas Prengel, Günther Ernst, Orlando Guntinas-Lichius, Ferdinand von Eggeling, and Franziska Hoffmann "Label-free intraoperative assessment of tumor margins with hyperspectral imaging and machine learning (Conference Presentation)", Proc. SPIE PC12391, Label-free Biomedical Imaging and Sensing (LBIS) 2023, PC123910X (16 March 2023); https://doi.org/10.1117/12.2668644

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
PRESENTATION

WATCH
PRESENTATION SAVE TO MY LIBRARY

GET CITATION

KEYWORDS

Tumors

Hyperspectral imaging

Machine learning

Histopathology

3D modeling

Data modeling

Surgery

Show All Keywords

Keywords/Phrases

Search In:

Publication Years