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Research Papers

Determination of human skin optical properties from spectrophotometric measurements based on optimization by genetic algorithms

[+] Author Affiliations
Rong Zhang, Wim Verkruysse, Bernard Choi

University of California, Beckman Laser Institute, 1002 Health Sciences Road East, Irvine, California 92612 E-mail: zhangr@uci.edu

John A. Viator

Oregon Health and Science University, Department of Dermatology, Portland, Oregon 97239

Byungjo Jung

University of California, Beckman Laser Institute, 1002 Health Sciences Road East, Irvine, California 92612

Lars O. Svaasand

Norwegian University of Science and, Technology, NO-7491, Trondheim, Norway

University of California, Beckman Laser Institute, 1002 Health Sciences Road East, Irvine, California 92612

Guillermo Aguilar

University of California, Beckman Laser Institute, 1002 Health Sciences Road East, Irvine, California 92612

University of California, Department of Mechanical Engineering, Riverside, California 92521

J. Stuart Nelson

University of California, Beckman Laser Institute, 1002 Health Sciences Road East, Irvine, California 92612

J. Biomed. Opt. 10(2), 024030 (Apr. 14, 2005). doi:10.1117/1.1891147
History: Received Jun. 16, 2004; Revised Aug. 5, 2004; Accepted Sep. 9, 2004; Apr. 14, 2005; Online April 14, 2005
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We present an initial study on applying genetic algorithms (GA) to retrieve human skin optical properties using visual reflectance spectroscopy (VRS). A three-layered skin model consisting of 13 parameters is first used to simulate skin and, through an analytical model based on optical diffusion theory, we study their independent effects on the reflectance spectra. Based on a preliminary analysis, nine skin parameters are chosen to be fitted by GA. The fitting procedure is applied first on simulated reflectance spectra with added white noise, and then on measured spectra from normal and port wine stain (PWS) human skin. A normalized residue of less than 0.005 is achieved for simulated spectra. In the case of measured spectra from human skin, the normalized residue is less than 0.01. Comparisons between applying GA and manual iteration (MI) fitting show that GA performed much better than the MI fitting method and can easily distinguish melanin concentrations for different skin types. Furthermore, the GA approach can lead to a reasonable understanding of the blood volume fraction and other skin properties, provided that the applicability of the diffusion approximation is satisfied. © 2005 Society of Photo-Optical Instrumentation Engineers.

© 2005 Society of Photo-Optical Instrumentation Engineers

Citation

Rong Zhang ; Wim Verkruysse ; Bernard Choi ; John A. Viator ; Byungjo Jung, et al.
"Determination of human skin optical properties from spectrophotometric measurements based on optimization by genetic algorithms", J. Biomed. Opt. 10(2), 024030 (Apr. 14, 2005). ; http://dx.doi.org/10.1117/1.1891147


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