Reference : Mechanical parameters identification of keloid and surrounding healthy skin using Dig...

	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/10993/41913

Title :	Mechanical parameters identification of keloid and surrounding healthy skin using Digital Image Correlation measurements in vivo
Language :	English
Author, co-author :	Elouneg, Aflah [Univ. Bourgogne Franche Comté, FEMTO-ST institute, UFC/CNRS/ENSMM/UTBM, Besançon, France > Departement of Applied Mechanics]
	Sutula, Danas [Univ. Bourgogne Franche Comté, FEMTO-ST institute, UFC/CNRS/ENSMM/UTBM, Besançon, France > Departement of Applied Mechanics > > ; Technical University of Liberec, Liberec, Czech Republic. > Faculty of Tissue Engineering]
	Sensale, Marco [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Chouly, Franz []
	Chambert, Jérôme [Univ. Bourgogne Franche Comté, FEMTO-ST institute, UFC/CNRS/ENSMM/UTBM, Besançon, France > Departement of Applied Mechanics]
	Lejeune, Arnaud [Univ. Bourgogne Franche Comté, FEMTO-ST institute, UFC/CNRS/ENSMM/UTBM, Besançon, France > Departement of Applied Mechanics]
	Baroli, Davide [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Hauseux, Paul [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Bordas, Stéphane [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Jacquet, Emmanuelle [Univ. Bourgogne Franche Comté, FEMTO-ST institute, UFC/CNRS/ENSMM/UTBM, Besançon, France > Departement of Applied Mechanics]
Publication date :	9-Dec-2019
Peer reviewed :	No
Event name :	24ème Congrès Français de Mécanique
Event date :	from 26-08-2019 to 30-08-2019
Keywords :	[en] keloid ; parameter identification ; Digital Image Correlation ; Finite Element Model Updating
Abstract :	[en] The human skin behaves as an elastic membrane initially prestressed but not uniformly. The presence of anatomical sites favorable to the appearance of some tumors, a keloid in our case, while other sites never develop them attests to the importance of the mechanical environment of the tissue. Thus, a mechanical characterization of the tumored skin is necessary to understand the keloid expansion from a mechanical point of view. Our case study consists in modeling a bi-material structure composed of a keloid skin surrounded by healthy skin located on upper left arm of a young female. From the experimental measurements in vivo, by combining force sensor, displacement sensor and Digital Image Correlation techniques, we perform a mechanical analysis to characterize the mechanical stress fields over the entire area and on the interface ‘healthy skin/keloid skin’. Since the mechanical behavior of the tumorous skin is unknown, many physical models can be implemented and assessed very easily inside the specific digital software to fit with the real data. Once a set of mechanical parameters for both the healthy skin and the keloid skin are identified, the stress fields around the keloid are calculated. Next steps consist in determining matching preferential directions in order to define as precisely as possible the specifications of a device for preventing the growth of keloids.
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/10993/41913

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