Quantitative characterization of turbidity by radiative transfer based reflectance imaging

基于辐射传输反射成像的浊度定量表征

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Abstract

A new and noncontact approach of multispectral reflectance imaging has been developed to inversely determine the absorption coefficient of μ (a) , the scattering coefficient of μ(s) and the anisotropy factor g of a turbid target from one measured reflectance image. The incident beam was profiled with a diffuse reflectance standard for deriving both measured and calculated reflectance images. A GPU implemented Monte Carlo code was developed to determine the parameters with a conjugate gradient descent algorithm and the existence of unique solutions was shown. We noninvasively determined embedded region thickness in heterogeneous targets and estimated in vivo optical parameters of nevi from 4 patients between 500 and 950nm for melanoma diagnosis to demonstrate the potentials of quantitative reflectance imaging.

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