uantitative characterization of turbidity by radiative transfer based reflectance imaging

ECU Author/Contributor (non-ECU co-authors, if there are any, appear on document)

Cheng Chen (Creator)

Heng Hong (Creator)

Xin-Hua Hu (Creator)

Jiahong Jin (Creator)

Jun Q. Lu (Creator)

Peng Tian (Creator)

Institution

East Carolina University (ECU )

Web Site: http://www.ecu.edu/lib/

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 µs 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.

Additional Information

Publication

Other

"Peng Tian , Cheng Chen , Jiahong Jin , Heng Hong , Jun Q. Lu , and Xin-Hua Hu , ""Quantitative characterization of turbidity by radiative transfer based reflectance imaging , "" Biomed. Opt. Express 9 , 2081-2094 (2018)"

Language: English

Date: 2018

Keywords

Reflection, Imaging systems, Spectroscopy, tissue diagnostics, Multiple scattering

Subjects

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