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A neural network based approach for determination of optical scattering and absorption coefficients of biological tissue

Date
2009
Abstract
The propagation of light in biological tissue depends on the absorption and reduced scattering coefficient. The aim of this project is the determination of these two optical properties using spatially resolved reflectance measurements. The sensor system consists of five laser sources at different wavelengths, an optical fibre probe and five photodiodes. For these kinds of measurements it has been shown that an often used solution of the diffusion equation can not be applied. Therefore a neural network is being developed to extract the needed optical properties out of the reflectance data. Data sets for the training, validation and testing process are provided by Monte Carlo Simulations. Key words: tissue optics, Monte Carlo, neural network.
Supervisor
Description
peer-reviewed
Publisher
IOP Publishing
Citation
Journal of Physics: Conference Series;178, 012047
Collections
Electronic & Computer Engineering
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Lewis_2009_Neural.pdf
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Keywords
biological tissue, National Biophotonics and Imaging Platform Ireland (NBI)
ULRR Identifiers
https://researchrepository.ul.ie/handle/10344/8927
 https://doi.org/10.34961/3864
Funding code
Funding Information
Sustainable Development Goals
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Type
Article
Rights
https://creativecommons.org/licenses/by-nc-sa/1.0/
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