6533b85bfe1ef96bd12bb627

RESEARCH PRODUCT

Skin Parameter Map Retrieval from a Dedicated Multispectral Imaging System Applied to Dermatology/Cosmetology

Franck MarzaniRomuald JolivotYannick Benezeth

subject

lcsh:Medical physics. Medical radiology. Nuclear medicinemedicine.medical_specialtylcsh:Medical technology[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingArticle SubjectMelasmaComputer sciencelcsh:R895-920Multispectral image[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingVitiligo01 natural sciencesCutaneous tissue010309 optics030207 dermatology & venereal diseases03 medical and health sciences0302 clinical medicine[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciencesmedicineRadiology Nuclear Medicine and imagingOptical reflectancePixelintegumentary systemmedicine.diseaseDermatology3. Good healthlcsh:R855-855.5CosmetologyCube[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingResearch Article

description

International audience; 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.

10.1155/2013/978289https://hal-univ-bourgogne.archives-ouvertes.fr/hal-00871705