Paper
14 June 2011 Non-invasive determination of the optical properties of the human head using a neural network
Marion Jäger, Alwin Kienle
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Abstract
Light propagation in an N-layered model of the human head is investigated using Monte Carlo simulations and solutions of the diffusion theory. For the inverse problem - the determination of the optical properties of brain or scalp and skull from simulated reflectance curves - a neural network is applied.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marion Jäger and Alwin Kienle "Non-invasive determination of the optical properties of the human head using a neural network", Proc. SPIE 8088, Diffuse Optical Imaging III, 80880H (14 June 2011); https://doi.org/10.1117/12.889819
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Neural networks

Optical properties

Brain

Monte Carlo methods

Reflectivity

Absorption

Skull

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