Wavelength selection using diffuse reflectance spectra and machine learning algorithms for tissue differentiation in orthopedic surgery

Li, Celina L.; Fisher, Carl J.; Komolibus, Katarzyna; Grygoryev, Konstantin; Burke, Ray; Andersson-Engels, Stefan

Wavelength selection using diffuse reflectance spectra and machine learning algorithms for tissue differentiation in orthopedic surgery

Files

Translational-2022-TS4B.6.pdf(321.41 KB)

Published version

Date

2022-04

Authors

Li, Celina L.

Fisher, Carl J.

Komolibus, Katarzyna

Grygoryev, Konstantin

Burke, Ray

Andersson-Engels, Stefan

Publisher

Optica Publishing Group

Published Version

10.1364/TRANSLATIONAL.2022.TS4B.6

Abstract

DRS-based measurements of tissue types encountered in orthopedic surgery are utilized to establish a wavelength selection methodology using machine learning techniques, which enables rapid development of clinically translatable optical systems

Keywords

Computed tomography , Diffuse reflectance , Diffuse reflectance spectroscopy , Genetic algorithms , Optical systems , Tissue , Wavelength selection , Optical devices development

Citation

Li, C.L., Fisher, C.J., Komolibus, K., Grygoryev, K., Burke, R. and Andersson-Engels., S. (2022) ‘Wavelength selection using diffuse reflectance spectra and machine learning algorithms for tissue differentiation in orthopedic surgery’, in Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN), Fort Lauderdale, Florida, 24-27 April, Optica Publishing Group, TS4B.6 (2 pp). https://doi.org/10.1364/TRANSLATIONAL.2022.TS4B.6.