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. 1. Introduction Visual assessment of different skin pathologies is a result of ambient light that enters the skin and is scattered and diffused within it. The reemitted light carries important information about the physical and optical tissue parameters. It is a combination of selective absorption and scattering of specific light wavelengths due to the physical properties of chromophores composing the skin [1]. Well-trained dermatologists analyze the skin color and interpret the clinical pathologies based on their knowledge and experience. Dermatologists evaluate lesion conditions based on the distribution, size, shape, border, and symmetry but mostly on the color aspect. Diagnoses based on colour are subjective as colour perception depends on human visual response to light. The human eye does not have the same sensitivity for all wavelengths [2] and between individuals. Colour is sensed by the human eye over the visible wave range and is subjectively interpreted as a unique sensation while it is a combination of wavelengths. This lack of spectral discrimination means that the eye can be affected by metamerism which potentially affects the analysis. Imaging
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