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Tim Lee, MD, University of British Columbia, Vancouver, BC Skin diseases such as warts, eczema, skin dryness, and other pigmented lesions have a characteristic surface roughness that can be measured to monitor the disease after treatment or to detect the appearance of these diseases. Presently, there are no specific standard measurements for surface roughness of these diseases as well as most of the different body locations for healthy skin in any age group. Producing a non-invasive instrument to detect surface roughness may eliminate the need to do a skin biopsy and leave a permanent scar. Our study aims to validate our non-invasive instrument called laser speckle imaging to detect skin roughness on 25 different body locations in healthy skin, to measure the amount of skin roughness on each body site and to show an existing relationship between these measurements with age, gender and skin type. Measuring skin roughness in healthy skin can be used as a reference of comparison for surface roughness of diseased skin. The otherbenefit in clinical practice would be the generation of important information regarding the aging process if skin roughness is used as a monitoring parameter for photodamaged and intrinsic aging skin. Also, assessment of the amount of skin roughness caused by external agents (e.g. detergents) and commercial products can be used to evaluate the safety of these products to consumers. Peer-Reviewed Publications Supported by the Canadian Dermatology Foundation 1. Huang, Z, Lui H, Chen MXK, McLean DI, Zeng, H.: Raman Spectroscopy of In Vivo Cutaneous Melanin. J. of Biomedical Optics, 9(6):1198-1205, 2004. 2. Hamzavi, I.,Jain, H., McLean, D.I., Shapiro, J., Zeng, H., Lui, H.: Parametric Modelling of Narrow Band UV-B Phototherapy for Vitiligo Using a Novel Quantitative Tool, Arch. Dermatol. 140: 677-683, 2004. 3. Tang L, Cao L, Sundberg JP, Lui H, Shapiro J. Restoration of hair growth in mice with an alopecia areata-like disease using topical anthralin. Exp Dermatol 2004; 13:5-10. 4. Huang, Z, Lui, H., McLean, DI, Korbelik, Zeng, H: Raman Spectroscopy in Combination with Background Near-Infrared Autofluorescence Enhances the In Vivo Assessment of Malignant Tissues. Photochemistry and Photobiology, 81: 1219-1226, 2005. 5. Lau DP, Huang Z, Lui H, Anderson DW, Berean K, Morrison MD, Shen L, Zeng H. Raman spectroscopy for optical diagnosis in the larynx: preliminary findings. Lasers Surg Med. 37(3):192-200. (2005). 6. Hamzavi, I.,Shiff, N., Martinka, M., Huang, Z., McLean, DI., Zeng, H., Lui, H.: Spectroscopic Assessment of Dermal Melanin using Blue Vitiligo as an in vivo Model. Photodermatology, Photoimmunology & Photomedicine, 22:46-51, 2006. 7. Short, M.A., Lui, H., McLean, D.I., Zeng, H., Alajlan, A., Chen, M.X.: Demonstrating Changes in Nuclei and Peritumoral Collagen within Nodular Basal Cell Carcinomas Via Confocal Micro-Raman Spectroscopy, J of Biomedical Optics, 11: 034004, 2006. 8. Huang Z, Zeng H, Hamzavi I, Alajlan A, Tan E, McLean DI, Lui H. Cutaneous Melanin Exhibits Fluorescence Emission Under Near-Infrared Light Excitation. J. of Biomedical Optics, 11: 034010, 2006. 9. Tchvialeva L, Lee TK, Markhvida I, McLean DI, Lui H, Zeng H. Geometry influence on polychromatic speckle contrast. Proceedings of the International Conference SPECKLE06. Nimes, France, Sept 13-15, 2006;63411V1-163411V6. 10. Markhvida I, Tchvialeva L, Lee TK, and Zeng H. The Influence of Geometry on Polychromatic Speckle Contrast. Journal of the Optical Society of America A: Optics, Image Science & Vision. 2007;24(1):93-97. 11. Chen, R., Huang, Z., Lui, H., Hamzavi, I., McLean, D.I., Xie, S., Zeng, H.: Monte Carlo simulation of cutaneous reflectance and fluorescence measurements —— the effect of melanin contents and localization, Journal of photochemistry and photobiology B: Biology, 86 (3): 219-226 (2007). 12. Zhao J., Lui H., McLean D.I., and Zeng H., "Automated fluorescence background subtraction in biomedical Raman spectra", Applied Spectroscopy 61, 1225 (2007). 13. Zhao J., Lui H., McLean D.I., and Zeng H., "Towards instrument independent quantitative measurement of fluorescence intensity in fiber optic spectrometer system", Applied Optics 46, 7132-7140 (2007). 14. Tchvialeva L, Lee TK, Markhvida I, McLean DI, Lui H, Zeng H. Using a zone model to incorporate the influence of geometry on polychromatic speckle contrast. Optical Engineering. 2008;47(7):074201. 15. Zhao J., Lui H., McLean D.I., and Zeng H., "Integrated real-time Raman system for clinical in vivo skin analysis", Skin Research and Technology 14, 484-492 (2008). 16. Zeng, H, Zhao J, Short M, McLean DI, Lam S, McWilliams A, and Lui H. Raman Spectroscopy for in vivo Tissue Analysis and Diagnosis – from Instrument Development to Clinical Applications. J Innovative Optical Health Research 1, 95-106 (2008). 17. Tchvialeva L, Zeng H, Markhvida I, Dhadwal G, McLean L, McLean DI, Lui H, Lee TK. Optical discrimination of surface reflection from volume backscattering in speckle contrast for skin roughness measurements. Proceedings of SPIE BiOS 2009, San Jose, USA. Jan 24-29, 2009. Accepted. © 2009 |
