Evaluation of a novel noncontact spectrally and spatially resolved reflectance setup with continuously variable source-detector separation using silicone phantoms.

We present a new variant of a noncontact, oblique incidence spatially resolved reflectance setup. The continuously variable source detector separation enables adaptation to high and low albedo samples. Absorption (μ(a)) and reduced scattering coefficients (μ(') (s)) are determined in the wavelength range of 400-1000 nm using a lookup table, calculated by a Monte Carlo simulation of the light transport. The method is characterized by an silicone phantom study covering a wide parameter range 0.01 mm(-1) ≤ μ(a) ≤ 2.5 mm(-1) and 0.2 mm(-1) ≤ μ(') (s) ≤ 10 mm(-1), which includes the optical parameters of tissue in the visible and near infrared. The influence of the incident angle and the detection aperture on the simulated remission was examined. Using perpendicular incidence and 90-deg detection aperture in the Monte Carlo simulation in contrast to the experimental situation with 30-deg incidence and 4.6-deg detection aperture is shown to be valid for the parameter range μ(') (s) > 1 mm(-1) and μ(a) < 1.2 mm(-1). A Mie calculation is presented, showing that a decreasing reduced scattering coefficient for increasing absorption can be the consequence of real physics instead of cross talk.

[1]  George Zonios,et al.  Modeling diffuse reflectance from semi-infinite turbid media: application to the study of skin optical properties. , 2006, Optics express.

[2]  A. Amelink,et al.  Empirical model of the photon path length for a single fiber reflectance spectroscopy device. , 2009, Optics express.

[3]  Martina Meinke,et al.  Determination of optical properties of human blood in the spectral range 250 to 1100 nm using Monte Carlo simulations with hematocrit-dependent effective scattering phase functions. , 2006, Journal of biomedical optics.

[4]  Dizem Arifler.  Sensitivity of spatially resolved reflectance signals to coincident variations in tissue optical properties. , 2010, Applied optics.

[5]  L Wang,et al.  MCML--Monte Carlo modeling of light transport in multi-layered tissues. , 1995, Computer methods and programs in biomedicine.

[6]  Quanzeng Wang,et al.  Measurement of internal tissue optical properties at ultraviolet and visible wavelengths: Development and implementation of a fiberoptic-based system. , 2008, Optics express.

[7]  George Zonios,et al.  Light scattering spectroscopy of human skin in vivo. , 2009, Optics express.

[8]  Chi-Hung Lin,et al.  Diffuse reflectance spectroscopy detects increased hemoglobin concentration and decreased oxygenation during colon carcinogenesis from normal to malignant tumors. , 2009, Optics express.

[9]  Narasimhan Rajaram,et al.  Lookup table-based inverse model for determining optical properties of turbid media. , 2008, Journal of biomedical optics.

[10]  Nirmala Ramanujam,et al.  Use of a multiseparation fiber optic probe for the optical diagnosis of breast cancer. , 2005, Journal of biomedical optics.

[11]  Henrik Casimir-Ahn,et al.  Myocardial tissue oxygenation estimated with calibrated diffuse reflectance spectroscopy during coronary artery bypass grafting. , 2008, Journal of biomedical optics.

[12]  Nirmala Ramanujam,et al.  Monte Carlo-based inverse model for calculating tissue optical properties. Part II: Application to breast cancer diagnosis. , 2006, Applied optics.

[13]  Arjen Amelink,et al.  Measurement of the local optical properties of turbid media by differential path-length spectroscopy. , 2004, Applied optics.

[14]  Nirmala Ramanujam,et al.  Cost-effective diffuse reflectance spectroscopy device for quantifying tissue absorption and scattering in vivo. , 2008, Journal of biomedical optics.

[15]  Stefan Andersson-Engels,et al.  Comparison of spatially and temporally resolved diffuse-reflectance measurement systems for determination of biomedical optical properties. , 2003, Applied optics.

[16]  Lihong V. Wang,et al.  Biomedical Optics: Principles and Imaging , 2007 .

[17]  Ingo Gersonde,et al.  Spatially resolved reflectance used to deduce absorption and reduced scattering coefficients , 2009, European Conference on Biomedical Optics.

[18]  Ingo Gersonde,et al.  Quantitative Raman spectroscopy in turbid media. , 2010, Journal of biomedical optics.

[19]  M. Nichols,et al.  Design and testing of a white-light, steady-state diffuse reflectance spectrometer for determination of optical properties of highly scattering systems. , 1997, Applied optics.

[20]  R. Doornbos,et al.  The determination of in vivo human tissue optical properties and absolute chromophore concentrations using spatially resolved steady-state diffuse reflectance spectroscopy. , 1999, Physics in medicine and biology.

[21]  Scott A. Prahl,et al.  Determining the reduced scattering of skin in vivo using sized-fiber reflectometry , 2002, SPIE BiOS.

[22]  Alwin Kienle,et al.  Determination of the optical properties of turbid media by measurements of the spatially resolved reflectance considering the point-spread function of the camera system. , 2008, Journal of biomedical optics.

[23]  Rebecca Richards-Kortum,et al.  Reflectance spectroscopy for diagnosis of epithelial precancer: model-based analysis of fiber-optic probe designs to resolve spectral information from epithelium and stroma. , 2005, Applied optics.

[24]  W. Steen.  Absorption and Scattering of Light by Small Particles , 1999 .

[25]  L. C. Henyey,et al.  Diffuse radiation in the Galaxy , 1940 .

[26]  Paola Taroni,et al.  Determination of the optical properties of anisotropic biological media using an isotropic diffusion model. , 2007, Journal of biomedical optics.

[27]  N. Ramanujam,et al.  Monte Carlo-based inverse model for calculating tissue optical properties. Part I: Theory and validation on synthetic phantoms. , 2006, Applied optics.