Open Access
13 April 2015 Hyperspectral imaging-based wound analysis using mixture-tuned matched filtering classification method
Mihaela-Antonina Calin, Toma Coman, Sorin Viorel Parasca, Nicolae Bercaru, Roxana S. Savastru, Dragos Manea
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Abstract
Hyperspectral imaging is a technology that is beginning to occupy an important place in medical research with good prospects in future clinical applications. We evaluated the role of hyperspectral imaging in association with a mixture-tuned matched filtering method in the characterization of open wounds. The methodology and the processing steps of the hyperspectral image that have been performed in order to obtain the most useful information about the wound are described in detail. Correlations between the hyperspectral image and clinical examination are described, leading to a pattern that permits relative evaluation of the square area of the wound and its different components in comparison with the surrounding normal skin. Our results showed that the described method can identify different types of tissues that are present in the wounded area and can objectively measure their respective abundance, which proves its value in wound characterization. In conclusion, the method that was described in this preliminary case presentation shows promising results, but needs further evaluation in order to become a reliable and useful tool.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Mihaela-Antonina Calin, Toma Coman, Sorin Viorel Parasca, Nicolae Bercaru, Roxana S. Savastru, and Dragos Manea "Hyperspectral imaging-based wound analysis using mixture-tuned matched filtering classification method," Journal of Biomedical Optics 20(4), 046004 (13 April 2015). https://doi.org/10.1117/1.JBO.20.4.046004
Published: 13 April 2015
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Cited by 53 scholarly publications.
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KEYWORDS
Tissues

Hyperspectral imaging

Skin

Image filtering

Image classification

Optical filters

Wound healing

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