Author | Hu, Xin-Hua | |
Author | Tian, Peng | |
Author | Chen, Cheng | |
Author | Jin, Jiahong | |
Author | Hong, Heng | |
Author | Lu, Jun Q. | |
Date Accessioned | 2019-03-15T00:01:54Z | |
Date Available | 2019-03-15T00:01:54Z | |
Date of Issue | 2018-04-04 | |
Identifier (Citation) | 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) | en_US |
Identifier (URI) | http://hdl.handle.net/10342/7106 | |
Description | 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. | en_US |
Sponsorship | Open Access Fund | en_US |
Language | en_US | en_US |
Related URI | https://www.osapublishing.org/boe/fulltext.cfm?uri=boe-9-5-2081&id=385306 | en_US |
Subject | Reflection | en_US |
Subject | Imaging systems | en_US |
Subject | Spectroscopy | en_US |
Subject | tissue diagnostics | en_US |
Subject | Multiple scattering | en_US |
Title | uantitative characterization of turbidity by radiative transfer based reflectance imaging | en_US |
Type | Article | en_US |
Identifier (PMID) | 29760971 | en_US |
Identifier (DOI) | 10.1364/BOE.9.002081 | |
Journal Name | Biomedical Optics Express | en_US |
Journal Volume | 9 | en_US |
Journal Issue | 5 | en_US |
Article Pages | 2081-2094 | en_US |