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Journal of Biomedical Optics • Open Access

Can spectral–spatial image segmentation be used to discriminate experimental burn wounds?
Author(s): Lukasz A. Paluchowski; Håvard B. Nordgaard; Asgeir Bjorgan; Håkon Hov; Sissel M. Berget; Lise L. Randeberg

Paper Abstract

Hyperspectral imaging (HSI) is a noncontact and noninvasive optical modality emerging the field of medical research. The goal of this study was to determine the ability of HSI and image segmentation to discriminate burn wounds in a preclinical porcine model. A heated brass rod was used to introduce burn wounds of graded severity in a pig model and a sequence of hyperspectral data was recorded up to 8-h postinjury. The hyperspectral images were processed by an unsupervised spectral–spatial segmentation algorithm. Segmentation was validated using results from histology. The proposed algorithm was compared to K-means segmentation and was found superior. The obtained segmentation maps revealed separated zones within the burn sites, indicating a variation in burn severity. The suggested image-processing scheme allowed mapping dynamic changes of spectral properties within the burn wounds over time. The results of this study indicate that unsupervised spectral–spatial segmentation applied on hyperspectral images can discriminate burn injuries of varying severity.

Paper Details

Date Published: 26 May 2016
PDF: 10 pages
J. Biomed. Opt. 21(10) 101413 doi: 10.1117/1.JBO.21.10.101413
Published in: Journal of Biomedical Optics Volume 21, Issue 10
Show Author Affiliations
Lukasz A. Paluchowski, Norwegian Univ. of Science and Technology (Norway)
Håvard B. Nordgaard, St. Olavs Hospital (Norway)
Asgeir Bjorgan, Norwegian Univ. of Science and Technology (Norway)
Håkon Hov, St. Olavs Hospital (Norway)
Norwegian Univ. of Science and Technology (Norway)
Sissel M. Berget, St. Olavs Hospital (Norway)
Lise L. Randeberg, Norwegian Univ. of Science and Technology (Norway)


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