uantitative characterization of turbidity by radiative transfer based reflectance imaging
Author
Hu, Xin-Hua; Tian, Peng; Chen, Cheng; Jin, Jiahong; Hong, Heng; Lu, Jun Q.
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.
Date
2018-04-04
Citation:
APA:
Hu, Xin-Hua, & Tian, Peng, & Chen, Cheng, & Jin, Jiahong, & Hong, Heng, & Lu, Jun Q.. (April 2018).
uantitative characterization of turbidity by radiative transfer based reflectance imaging.
Biomedical Optics Express,
(9:5), p.2081-2094. Retrieved from
http://hdl.handle.net/10342/7106
MLA:
Hu, Xin-Hua, and Tian, Peng, and Chen, Cheng, and Jin, Jiahong, and Hong, Heng, and Lu, Jun Q..
"uantitative characterization of turbidity by radiative transfer based reflectance imaging". Biomedical Optics Express.
9:5. (2081-2094.),
April 2018.
April 19, 2021.
http://hdl.handle.net/10342/7106.
Chicago:
Hu, Xin-Hua and Tian, Peng and Chen, Cheng and Jin, Jiahong and Hong, Heng and Lu, Jun Q.,
"uantitative characterization of turbidity by radiative transfer based reflectance imaging," Biomedical Optics Express 9, no.
5 (April 2018),
http://hdl.handle.net/10342/7106 (accessed
April 19, 2021).
AMA:
Hu, Xin-Hua, Tian, Peng, Chen, Cheng, Jin, Jiahong, Hong, Heng, Lu, Jun Q..
uantitative characterization of turbidity by radiative transfer based reflectance imaging. Biomedical Optics Express.
April 2018;
9(5)
2081-2094. http://hdl.handle.net/10342/7106. Accessed
April 19, 2021.
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