ArticleBiomedical optics express2018
Modelling spatially-resolved diffuse reflectance spectra of a multi-layered skin model by artificial neural networks trained with Monte Carlo simulations.
Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Learning to simulate realistic human diffuse reflectance spectra.Journal of biomedical optics · 2026Article
- What do we know about the epidermis' optical properties and their influence on optical device functionality?Biophotonics discovery · 2025Review
- Robust estimation of skin physiological parameters from hyperspectral images using Bayesian neural networks.Journal of biomedical optics · 2025Article
- Tutorial on methods for estimation of optical absorption and scattering properties of tissue.Journal of biomedical optics · 2024Article
- Designing a use-error robust machine learning model for quantitative analysis of diffuse reflectance spectra.Journal of biomedical optics · 2024Article
- Absorption and reduced scattering coefficients in epidermis and dermis from a Swedish cohort study.Journal of biomedical optics · 2023Article
- Monitoring the skin structure during edemaJournal of biomedical optics · 2023Article
- Performance estimation of optical skin probe in short wavelength infrared spectroscopy based on Monte-Carlo simulation.Scientific reports · 2022Article
- Quantifying tissue optical properties of human heads in vivo using continuous-wave near-infrared spectroscopy and subject-specific three-dimensional Monte Carlo models.Journal of biomedical optics · 2022Article
- Optical property recovery with spatially-resolved diffuse reflectance at short source-detector separations using a compact fiber-optic probe.Biomedical optics express · 2021Article
- Research on Practical Intelligent Mode of Digital Image Economy Based on Improved Genetic Multilayer Neural Network.Computational intelligence and neuroscience · 2021Article
- Machine learning for direct oxygen saturation and hemoglobin concentration assessment using diffuse reflectance spectroscopy.Journal of biomedical optics · 2020Article
- Measurement of absorption and reduced scattering coefficients in Asian human epidermis, dermis, and subcutaneous fat tissues in the 400- to 1100-nm wavelength range for optical penetration depth and energy deposition analysis.Journal of biomedical optics · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A robust modelling method was proposed to extract chromophore information in multi-layered skin tissue with spatially-resolved diffuse reflectance spectroscopy. Artificial neural network models trained with a pre-simulated database were first built to map geometric and optical parameters into diffuse reflectance spectra. Nine fitting parameters including chromophore concentrations and oxygen saturation were then determined by solving the inverse problem of fitting spectral measurements from three different parts of the skin. Compared to the Monte Carlo simulation accelerated by a graphics processing unit, the proposed modelling method not only reduced the computation time, but also achieved a better fitting performance.
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Registered trials
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