Hu, Xin-HuaTian, PengChen, ChengJin, JiahongHong, HengLu, Jun Q.2019-03-152019-03-152018-04-04Peng 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)http://hdl.handle.net/10342/7106A 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.en-USReflectionImaging systemsSpectroscopytissue diagnosticsMultiple scatteringArticle2976097110.1364/BOE.9.002081