Comparison of pre-processing techniques to reduce non-tissue related variations in hyperspectral reflectance imaging

Mark Witteveen; Ton A.G.J. M. Leeuwen; Maurice Aalders; Henricus Sterenborg; Theo Ruers; Anouk L. Post

doi:10.1117/12.2647777

17 March 2023 Comparison of pre-processing techniques to reduce non-tissue related variations in hyperspectral reflectance imaging

Mark Witteveen, Ton A.G.J. M. Leeuwen, Maurice Aalders, Henricus Sterenborg, Theo Ruers, Anouk L. Post

Author Affiliations +

Proceedings Volume PC12363, Multiscale Imaging and Spectroscopy IV; PC123630C (2023) https://doi.org/10.1117/12.2647777
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Hyperspectral reflectance imaging can be used to develop tissue classification algorithms, which is often based on machine learning. To improve the performance of classification algorithms, pre-processing is often used to remove variations in data not related to the tissue itself. In hyperspectral imaging, these variations are the result of reflections from the tissue surface (glare) and height variations within and between tissue samples. We investigated and quantified the performance of 8 commonly used pre-processing algorithms to reduce differences in spectra due to glare and height differences, while retaining contrast between tissues with different optical properties on simulated and clinical datasets.

Conference Presentation

Citation Download Citation

Mark Witteveen, Ton A.G.J. M. Leeuwen, Maurice Aalders, Henricus Sterenborg, Theo Ruers, and Anouk L. Post "Comparison of pre-processing techniques to reduce non-tissue related variations in hyperspectral reflectance imaging", Proc. SPIE PC12363, Multiscale Imaging and Spectroscopy IV, PC123630C (17 March 2023); https://doi.org/10.1117/12.2647777

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