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Proceedings Paper

A simple burn wound severity assessment classifier based on spatial frequency domain imaging (SFDI) and machine learning
Author(s): Rebecca Rowland; Adrien Ponticorvo; Melissa Baldado; Gordon T. Kennedy; David M. Burmeister; Robert J. Christy; Nicole P. Bernal; Anthony J. Durkin
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Paper Abstract

Assessment of burn severity is critical for wound treatment. Spatial frequency domain imaging (SFDI) has been previously used to characterize burns based on the relationships between histology and tissue optical properties. Recently, multispectral and hyperspectral imaging optical features have been combined with machine learning to classify burn severity. Here, we investigated the use of SFDI reflectance data at multiple wavelengths and spatial frequencies, with a support vector machine (SVM), to predict severity in a porcine model of graded burns. Burn severity predictions using SVM were compared to burn grade determined using histology techniques. Results suggest that the combination of spatial frequency data with machine learning models has the potential for accurately predicting burn severity at the 24 hr postburn time point.

Paper Details

Date Published: 26 February 2019
PDF: 11 pages
Proc. SPIE 10851, Photonics in Dermatology and Plastic Surgery 2019, 1085109 (26 February 2019); doi: 10.1117/12.2510670
Show Author Affiliations
Rebecca Rowland, Beckman Laser Institute and Medical Clinic (United States)
Adrien Ponticorvo, Beckman Laser Institute and Medical Clinic (United States)
Melissa Baldado, Beckman Laser Institute and Medical Clinic (United States)
Gordon T. Kennedy, Beckman Laser Institute and Medical Clinic (United States)
David M. Burmeister, U.S. Army Institute of Surgical Research (United States)
Robert J. Christy, U.S. Army Institute of Surgical Research (United States)
Nicole P. Bernal, Univ. of California, Irvine Regional Burn Ctr. (United States)
Anthony J. Durkin, Beckman Laser Institute and Medical Clinic (United States)
Univ. of California, Irvine (United States)


Published in SPIE Proceedings Vol. 10851:
Photonics in Dermatology and Plastic Surgery 2019
Bernard Choi; Haishan Zeng, Editor(s)

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