6533b872fe1ef96bd12d30ea

RESEARCH PRODUCT

Unmixing of human skin optical reflectance maps by Non-negative Matrix Factorization algorithm

Yannick BenezethRomuald JolivotFranck MarzaniJuly Galeano

subject

Materials science[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingAbsorption spectroscopyMelasmaHealth InformaticsHuman skin02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciencesNon-negative Matrix FactorizationNon-negative matrix factorizationMatrix decomposition010309 opticsSpectral reconstructionOpticsDermis[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciences0202 electrical engineering electronic engineering information engineeringmedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingChromophores quantificationOptical reflectance[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingintegumentary systembusiness.industrymedicine.diseasemedicine.anatomical_structureSignal Processing020201 artificial intelligence & image processingEpidermisSkin optical reflectance mapsbusinessBiological system[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing

description

International audience; We present in this paper the decomposition of human skin absorption spectra with a Non-negative Matrix Factorization method. In doing so, we are able to quantify the relative proportion of the main chromophores present in the epidermis and the dermis. We present experimental results showing that we obtain a good estimate of melanin and hemoglobin concentrations. Our approach has been validated by analyzing the human skin absorption spectra in areas of healthy skin and areas affected by melasma on eight patients.

10.1016/j.bspc.2012.08.007https://hal-univ-bourgogne.archives-ouvertes.fr/hal-00742425/file/BSPC_YBenezeth.pdf