Validation of a 2D multispectral camera: application to dermatology/cosmetology on a population covering five skin phototypes

Autor: Romuald Jolivot, M. H. Ahmad Fadzil, Hermawan Nugroho, Pierre Vabres, Franck Marzani
Přispěvatelé: Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Intelligent Signal & Imaging Research Lab, Universiti Teknologi PETRONAS, CHU Dijon, Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand ( CHU Dijon ), ILT, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Centre for Intelligent Signal and Imaging Research [Petronas] (CISIR), Universiti Teknologi PETRONAS (UTP), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon)
Jazyk: angličtina
Rok vydání: 2011
Předmět:
Zdroj: Clinical and Biomedical Spectroscopy and Imaging II
European Conference on Biomedical Optics, SPIE
European Conference on Biomedical Optics, SPIE, May 2011, Munich, Germany. pp.Proc. SPIE 8087, 808729, 2011, 〈10.1117/12.889607〉
Scopus-Elsevier
European Conference on Biomedical Optics, SPIE, May 2011, Munich, Germany. pp.Proc. SPIE 8087, 808729, ⟨10.1117/12.889607⟩
DOI: 10.1117/12.889607〉
Popis: International audience; This paper presents the validation of a new multispectral camera specifically developed for dermatological application based on healthy participants from five different Skin PhotoTypes (SPT). The multispectral system provides images of the skin reflectance at different spectral bands, coupled with a neural network-based algorithm that reconstructs a hyperspectral cube of cutaneous data from a multispectral image. The flexibility of neural network based algorithm allows reconstruction at different wave ranges. The hyperspectral cube provides both high spectral and spatial information. The study population involves 150 healthy participants. The participants are classified based on their skin phototype according to the Fitzpatrick Scale and population covers five of the six types. The acquisition of a participant is performed at three body locations: two skin areas exposed to the sun (hand, face) and one area non exposed to the sun (lower back) and each is reconstructed at 3 different wave ranges. The validation is performed by comparing data acquired from a commercial spectrophotometer with the reconstructed spectrum obtained from averaging the hyperspectral cube. The comparison is calculated between 430 to 740 nm due to the limit of the spectrophotometer used. The results reveal that the multispectral camera is able to reconstruct hyperspectral cube with a goodness of fit coefficient superior to 0,997 for the average of all SPT for each location. The study reveals that the multispectral camera provides accurate reconstruction of hyperspectral cube which can be used for analysis of skin reflectance spectrum.
Databáze: OpenAIRE
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