Human tissue color as viewed in high dynamic range optical spectral transmission measurements

High dynamic range optical-to-near-infrared transmission measurements for different parts of human body in the spectral range from 650 to 950 nm have been performed. Experimentally measured spectra are correlated with Monte Carlo simulations using chromaticity coordinates in CIE 1976 L*a*b* color space. Both a qualitative and a quantitative agreement have been found, paving a new way of characterizing human tissues in vivo. The newly developed experimental and computational platform for assessing tissue transmission spectra is anticipated to have a considerable impact on identifying favorable conditions for laser surgery and optical diagnostics, while providing supplementary information about tissue properties.

[1]  V. Ntziachristos.  Going deeper than microscopy: the optical imaging frontier in biology , 2010, Nature Methods.

[2]  Vladislav V. Yakovlev,et al.  Broadband nonlinear optical conversion of a high-energy diode-pumped picosecond laser , 2004 .

[3]  W. Denk,et al.  Deep tissue two-photon microscopy , 2005, Nature Methods.

[4]  D Psaltis,et al.  Optical network for real-time face recognition. , 1993, Applied optics.

[5]  A. Welch,et al.  A review of the optical properties of biological tissues , 1990 .

[6]  S. J. Matcher,et al.  Computer simulation of the skin reflectance spectra , 2003, Comput. Methods Programs Biomed..

[7]  I. V. Meglinskii.  LASER APPLICATIONS AND OTHER TOPICS IN QUANTUM ELECTRONICS: Monte Carlo simulation of reflection spectra of random multilayer media strongly scattering and absorbing light , 2001 .

[8]  Henrik Wann Jensen,et al.  A spectral BSSRDF for shading human skin , 2006, EGSR '06.

[9]  T. Wadden,et al.  An Investigation of Changes in Body Image following Cosmetic Surgery , 2002, Plastic and reconstructive surgery.

[10]  Vasilis Ntziachristos,et al.  Looking and listening to light: the evolution of whole-body photonic imaging , 2005, Nature Biotechnology.

[11]  Igor Meglinski,et al.  Online object oriented Monte Carlo computational tool for the needs of biomedical optics , 2011, Biomedical optics express.

[12]  H Key,et al.  Optical attenuation characteristics of breast tissues at visible and near-infrared wavelengths. , 1991, Physics in medicine and biology.

[13]  D. Brainard.  5 – Color Appearance and Color Difference Specification , 2003 .

[14]  B. Wilson,et al.  Time resolved reflectance and transmittance for the non-invasive measurement of tissue optical properties. , 1989, Applied optics.

[15]  Hao F. Zhang,et al.  Stimulated Raman photoacoustic imaging , 2010, Proceedings of the National Academy of Sciences.

[16]  Vladislav Yakovlev,et al.  Enhancing red-shifted white-light continuum generation in optical fibers for applications in nonlinear Raman microscopy. , 2005, Optics express.

[17]  A. Stentz,et al.  Visible continuum generation in air–silica microstructure optical fibers with anomalous dispersion at 800 nm , 2000 .

[18]  I. S. Saidi,et al.  Mie and Rayleigh modeling of visible-light scattering in neonatal skin. , 1995, Applied optics.

[19]  Noel T. Whelan,et al.  Therapeutic photobiomodulation for methanol-induced retinal toxicity , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[20]  I. Meglinski,et al.  Assessment of the calibration curve for transmittance pulse-oximetry , 2011 .

[21]  T. Delaney,et al.  Photodynamic therapy of cancer. , 1988, Comprehensive therapy.