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Article dans une revue
Skin Parameter Map Retrieval from a Dedicated Multispectral Imaging System Applied to Dermatology/Cosmetology
Abstract : In vivo quantitative assessment of skin lesions is an important step in the evaluation of skin condition. An objective measurement device can help as a valuable tool for skin analysis. We propose an explorative new multispectral camera specifically developed for dermatology/cosmetology applications. The multispectral imaging system provides images of skin reflectance at different wavebands covering visible and near-infrared domain. It is coupled with a neural network-based algorithm for the reconstruction of reflectance cube of cutaneous data. This cube contains only skin optical reflectance spectrum in each pixel of the bidimensional spatial information. The reflectance cube is analyzed by an algorithm based on a Kubelka-Munk model combined with evolutionary algorithm. The technique allows quantitative measure of cutaneous tissue and retrieves five skin parameter maps: melanin concentration, epidermis/dermis thickness, haemoglobin concentration, and the oxygenated hemoglobin. The results retrieved on healthy participants by the algorithm are in good accordance with the data from the literature. The usefulness of the developed technique was proved during two experiments: a clinical study based on vitiligo and melasma skin lesions and a skin oxygenation experiment (induced ischemia) with healthy participant where normal tissues are recorded at normal state and when temporary ischemia is induced.
Littérature citée [49 références]
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-00871705
Contributeur : Yannick Benezeth Connectez-vous pour contacter le contributeur
Soumis le : jeudi 10 octobre 2013 - 11:26:22
Dernière modification le : mardi 19 octobre 2021 - 11:45:39
Archivage à long terme le : : samedi 11 janvier 2014 - 04:19:53
Contributeur : Yannick Benezeth Connectez-vous pour contacter le contributeur
Soumis le : jeudi 10 octobre 2013 - 11:26:22
Dernière modification le : mardi 19 octobre 2021 - 11:45:39
Archivage à long terme le : : samedi 11 janvier 2014 - 04:19:53
Fichier
IJBI_2013.pdf
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