Literature DB >> 20357850

Rapid and accurate estimation of blood saturation, melanin content, and epidermis thickness from spectral diffuse reflectance.

Dmitry Yudovsky1, Laurent Pilon.   

Abstract

We present a method to determine chromophore concentrations, blood saturation, and epidermal thickness of human skin from diffuse reflectance spectra. Human skin was approximated as a plane-parallel slab of variable thickness supported by a semi-infinite layer corresponding to the epidermis and dermis, respectively. The absorption coefficient was modeled as a function of melanin content for the epidermis and blood content and oxygen saturation for the dermis. The scattering coefficient and refractive index of each layer were found in the literature. Diffuse reflectance spectra between 490 and 620 nm were generated using Monte Carlo simulations for a wide range of melanosome volume fraction, epidermal thickness, blood volume, and oxygen saturation. Then, an inverse method was developed to retrieve these physiologically meaningful parameters from the simulated diffuse reflectance spectra of skin. A previously developed accurate and efficient semiempirical model for diffuse reflectance of two layered media was used instead of time-consuming Monte Carlo simulations. All parameters could be estimated with relative root-mean-squared error of less than 5% for (i) melanosome volume fraction ranging from 1% to 8%, (ii) epidermal thickness from 20 to 150 mum, (iii) oxygen saturation from 25% to 100%, (iv) blood volume from 1.2% to 10%, and (v) tissue scattering coefficient typical of human skin in the visible part of the spectrum. A similar approach could be extended to other two-layer absorbing and scattering systems.

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Year:  2010        PMID: 20357850     DOI: 10.1364/AO.49.001707

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  21 in total

Review 1.  Hyperspectral imaging in diabetic foot wound care.

Authors:  Dmitry Yudovsky; Aksone Nouvong; Laurent Pilon
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

2.  Subdiffusion reflectance spectroscopy to measure tissue ultrastructure and microvasculature: model and inverse algorithm.

Authors:  Andrew J Radosevich; Adam Eshein; The-Quyen Nguyen; Vadim Backman
Journal:  J Biomed Opt       Date:  2015       Impact factor: 3.170

3.  Development of thin skin mimicking bilayer solid tissue phantoms for optical spectroscopic studies.

Authors:  K Bala Nivetha; N Sujatha
Journal:  Biomed Opt Express       Date:  2017-06-07       Impact factor: 3.732

4.  A linear gradient line source facilitates the use of diffusion models with high order approximation for efficient, accurate turbid sample optical properties recovery.

Authors:  Ming-Wei Lee; Cheng-Hung Hung; Jung-Li Liao; Nan-Yu Cheng; Ming-Feng Hou; Sheng-Hao Tseng
Journal:  Biomed Opt Express       Date:  2014-09-16       Impact factor: 3.732

5.  Broadband absorption and reduced scattering spectra of in-vivo skin can be noninvasively determined using δ-P1 approximation based spectral analysis.

Authors:  Cheng-Hung Hung; Ting-Chun Chou; Chao-Kai Hsu; Sheng-Hao Tseng
Journal:  Biomed Opt Express       Date:  2015-01-09       Impact factor: 3.732

6.  Anti-confocal assessment of middle ear inflammation.

Authors:  David S Jung; John A Crowe; John P Birchall; Michael G Somekh; Chung W See
Journal:  Biomed Opt Express       Date:  2016-12-12       Impact factor: 3.732

7.  Light distribution modulated diffuse reflectance spectroscopy.

Authors:  Pin-Yuan Huang; Chun-Yu Chien; Chia-Rong Sheu; Yu-Wen Chen; Sheng-Hao Tseng
Journal:  Biomed Opt Express       Date:  2016-05-06       Impact factor: 3.732

8.  Modelling spatially-resolved diffuse reflectance spectra of a multi-layered skin model by artificial neural networks trained with Monte Carlo simulations.

Authors:  Sheng-Yang Tsui; Chiao-Yi Wang; Tsan-Hsueh Huang; Kung-Bin Sung
Journal:  Biomed Opt Express       Date:  2018-03-07       Impact factor: 3.732

9.  Model-based quantitative optical biopsy in multilayer in vitro soft tissue models for whole field assessment of nonmelanoma skin cancer.

Authors:  Bala Nivetha Kanakaraj; Sujatha Narayanan Unni
Journal:  J Med Imaging (Bellingham)       Date:  2018-03-22

10.  Assessing diabetic foot ulcer development risk with hyperspectral tissue oximetry.

Authors:  Dmitry Yudovsky; Aksone Nouvong; Kevin Schomacker; Laurent Pilon
Journal:  J Biomed Opt       Date:  2011-02       Impact factor: 3.170

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