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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