November 8, 2014
Notes: Jankovic, Slavenka
Research Support, Non-U.S. Gov’t
J Cutan Med Surg. 2013 Sep-Oct;17(5):316-20.
Reference Type: Journal Article
Record Number: 4297Author: Jolivot, R., Benezeth, Y. and Marzani, F.
Title: Skin parameter map retrieval from a dedicated multispectral imaging system applied to dermatology/cosmetology
Journal: Int J Biomed Imaging
Short Title: Skin parameter map retrieval from a dedicated multispectral imaging system applied to dermatology/cosmetology
Alternate Journal: International journal of biomedical imaging
ISSN: 1687-4188 (Print)
Accession Number: 24159326
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.