Detecting Bacteria on Wounds with Hyperspectral Imaging in Fluorescence Mode

Chronic non-healing wounds represent an increasing problem. In order to enable physicians and nurses to make evidence based decisions on wound treatment, the professional societies call for supporting tools to be offered to physicians. Oxygen supply, bacteria colonization and other parameters influe...

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Autores principales:	Hornberger Christoph., Herrmann Bert. H., Daeschlein Georg, Podewils Sebastian von, Sicher Claudia, Kuhn Jana, Masur Kai, Meister Mareike, Wahl Philip
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2020
Materias:	medical smear tests hyperspectral imaging bacteria infected wound fluorescence diabetic foot ulcer principal component analysis pca Medicine R
Acceso en línea:	https://doaj.org/article/6a77e096814c41e7817653139df897d5
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spelling	oai:doaj.org-article:6a77e096814c41e7817653139df897d52021-12-05T14:10:42ZDetecting Bacteria on Wounds with Hyperspectral Imaging in Fluorescence Mode2364-550410.1515/cdbme-2020-3067https://doaj.org/article/6a77e096814c41e7817653139df897d52020-09-01T00:00:00Zhttps://doi.org/10.1515/cdbme-2020-3067https://doaj.org/toc/2364-5504Chronic non-healing wounds represent an increasing problem. In order to enable physicians and nurses to make evidence based decisions on wound treatment, the professional societies call for supporting tools to be offered to physicians. Oxygen supply, bacteria colonization and other parameters influence the healing process. So far, these parameters cannot be monitored in an objective and routinely manner. Existing methods like the microbiological analysis of wound swabs, mean a great deal of effort and partly a long delay. In this paper 42 fluorescence images from 42 patients with diabetic foot ulcer, recorded with a hyperspectral imaging system (TIVITA®), converted for fluorescence imaging, were analysed. Beside the fluorescence images, information about the bacterial colonization is available from microbiological analysis of wound swabs. After preprocessing, principal component analysis, PCA, is used for data analysis with a 405 nm excitation wavelength, the emission wavelength range 510 - 745 nm is used for analysis. After dividing the data into a training and a test dataset it could be shown, that bacteria are detectable in the wound area. A quantification in bacterial colonization counts (BCC) was not in the focus of the research in this study stage.Hornberger Christoph.Herrmann Bert. H.Daeschlein GeorgPodewils Sebastian vonSicher ClaudiaKuhn JanaMasur KaiMeister MareikeWahl PhilipDe Gruyterarticlemedical smear tests hyperspectral imagingbacteriainfected woundfluorescencediabetic foot ulcerprincipal component analysis pcaMedicineRENCurrent Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 264-267 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	medical smear tests hyperspectral imaging bacteria infected wound fluorescence diabetic foot ulcer principal component analysis pca Medicine R
spellingShingle	medical smear tests hyperspectral imaging bacteria infected wound fluorescence diabetic foot ulcer principal component analysis pca Medicine R Hornberger Christoph. Herrmann Bert. H. Daeschlein Georg Podewils Sebastian von Sicher Claudia Kuhn Jana Masur Kai Meister Mareike Wahl Philip Detecting Bacteria on Wounds with Hyperspectral Imaging in Fluorescence Mode
description	Chronic non-healing wounds represent an increasing problem. In order to enable physicians and nurses to make evidence based decisions on wound treatment, the professional societies call for supporting tools to be offered to physicians. Oxygen supply, bacteria colonization and other parameters influence the healing process. So far, these parameters cannot be monitored in an objective and routinely manner. Existing methods like the microbiological analysis of wound swabs, mean a great deal of effort and partly a long delay. In this paper 42 fluorescence images from 42 patients with diabetic foot ulcer, recorded with a hyperspectral imaging system (TIVITA®), converted for fluorescence imaging, were analysed. Beside the fluorescence images, information about the bacterial colonization is available from microbiological analysis of wound swabs. After preprocessing, principal component analysis, PCA, is used for data analysis with a 405 nm excitation wavelength, the emission wavelength range 510 - 745 nm is used for analysis. After dividing the data into a training and a test dataset it could be shown, that bacteria are detectable in the wound area. A quantification in bacterial colonization counts (BCC) was not in the focus of the research in this study stage.
format	article
author	Hornberger Christoph. Herrmann Bert. H. Daeschlein Georg Podewils Sebastian von Sicher Claudia Kuhn Jana Masur Kai Meister Mareike Wahl Philip
author_facet	Hornberger Christoph. Herrmann Bert. H. Daeschlein Georg Podewils Sebastian von Sicher Claudia Kuhn Jana Masur Kai Meister Mareike Wahl Philip
author_sort	Hornberger Christoph.
title	Detecting Bacteria on Wounds with Hyperspectral Imaging in Fluorescence Mode
title_short	Detecting Bacteria on Wounds with Hyperspectral Imaging in Fluorescence Mode
title_full	Detecting Bacteria on Wounds with Hyperspectral Imaging in Fluorescence Mode
title_fullStr	Detecting Bacteria on Wounds with Hyperspectral Imaging in Fluorescence Mode
title_full_unstemmed	Detecting Bacteria on Wounds with Hyperspectral Imaging in Fluorescence Mode
title_sort	detecting bacteria on wounds with hyperspectral imaging in fluorescence mode
publisher	De Gruyter
publishDate	2020
url	https://doaj.org/article/6a77e096814c41e7817653139df897d5
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Detecting Bacteria on Wounds with Hyperspectral Imaging in Fluorescence Mode

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