Characterization of burns using hyperspectral imaging technique – A preliminary study

Călin, Mihaela Antonina; Parasca, Sorin Viorel; Savastru, Roxana; Manea, Dragoș

doi:10.1016/j.burns.2014.05.002

Cited by 61 publications

(40 citation statements)

References 17 publications

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“…The study yielded promising results, however, the method does not exploit the full spectral information available. Calin et al 29 performed spectral classification combined with linear unmixing of hyperspectral data collected from a burn wound. The preliminary results show possibility to generate a fractional abundance map of different tissue types.…”

Section: Introductionmentioning

confidence: 99%

Can spectral–spatial image segmentation be used to discriminate experimental burn wounds?

et al. 2016

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Section: Introductionmentioning

confidence: 99%

Can spectral–spatial image segmentation be used to discriminate experimental burn wounds?

et al. 2016

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“…Denstedt et al 15 showed that K-means clustering provides an accurate determination of wound margins when used to analyze hyperspectral images. 26 In this study, we have proven that the MTMF method can also identify necrotic tissue and it can provide useful information about the relative surface areas of different endmembers. In a previous study, we presented a method of burns' characterization based on HIS and a linear unmixing model with good results (good identification of normal and injured skin) with prospects that this method could be used in determining burn depth.…”

Section: Discussionmentioning

confidence: 88%

Hyperspectral imaging-based wound analysis using mixture-tuned matched filtering classification method

et al. 2015

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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.

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“…Despite these complications, approximate and sometimes even crude models with generic optical property parameters can provide useful semiquantitative or qualitative measurements of microvascular oxygenation at the wound site. The utility of NIR spectroscopy and in particular imaging is being explored to determine peripheral vascular perfusion, [121][122][123][124][125] burn injury assessment, [126][127][128][129] as well as the assessment of oxygenation of superficial tissues during surgery, postsurgery, and during healing. [130][131][132][133][134][135][136] Figure 11 shows a tissue oxygenation image derived from a four-wavelength multispectral reflectance image of the planter portion of the foot that has a diabetic ulceration.…”

Section: Near-infrared Methods To Assess Microvascular Oxygenationmentioning

confidence: 99%

Review of near-infrared methods for wound assessment

Sowa

Kuo²,

et al. 2016

J. Biomed. Opt

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Characterization of burns using hyperspectral imaging technique – A preliminary study

Cited by 61 publications

References 17 publications

Can spectral–spatial image segmentation be used to discriminate experimental burn wounds?

Can spectral–spatial image segmentation be used to discriminate experimental burn wounds?

Hyperspectral imaging-based wound analysis using mixture-tuned matched filtering classification method

Review of near-infrared methods for wound assessment

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