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Melanin and blood concentration in a human skin model studied by multiple regression analysis: assessment by Monte Carlo simulation

M Shimada et al 2001 Phys. Med. Biol. 46 2397-2406   doi: 10.1088/0031-9155/46/9/309  Help

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M Shimada1, Y Yamada2,3, M Itoh4 and T Yatagai4
1 Department of Integrated Neuroscience, Tokyo Institute of Psychiatry, Kamikitazawa 2-1-8, Setagaya, Tokyo, 156-8585, Japan
2 Department of Mechanical Engineering and Intelligent Systems, University of Electro-Communications, Chofugaoka 1-5-1, Chofu, Tokyo, 182-8585, Japan
3 Institute of Human Science and Biomedical Engineering, National Institute of Advanced Industrial Science and Technology, Namiki 1-2-1, Tsukuba, Ibaraki, 305-8564, Japan
4 Institute of Applied Physics, University of Tsukuba, Ten-noh-dai 1-1-1, Tsukuba, Ibaraki, 305-8573, Japan
E-mail: shimada@prit.go.jp

Abstract. Measurement of melanin and blood concentration in human skin is needed in the medical and the cosmetic fields because human skin colour is mainly determined by the colours of melanin and blood. It is difficult to measure these concentrations in human skin because skin has a multi-layered structure and scatters light strongly throughout the visible spectrum. The Monte Carlo simulation currently used for the analysis of skin colour requires long calculation times and knowledge of the specific optical properties of each skin layer. A regression analysis based on the modified Beer–Lambert law is presented as a method of measuring melanin and blood concentration in human skin in a shorter period of time and with fewer calculations. The accuracy of this method is assessed using Monte Carlo simulations.

Print publication: Issue 9 (September 2001)
Received 27 April 2001
Published 22 August 2001

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