Non-invasive determination of the optical properties of brain using a neural network

Marion Jäger; André Liemert; Florian Foschum; Alwin Kienle

doi:10.1117/12.831673

9 July 2009 Non-invasive determination of the optical properties of brain using a neural network

Marion Jäger, André Liemert, Florian Foschum, Alwin Kienle

Proceedings Volume 7369, Diffuse Optical Imaging II; 73691K (2009) https://doi.org/10.1117/12.831673
Event: European Conferences on Biomedical Optics, 2009, Munich, Germany

Abstract

Light propagation in an n-layered model of the brain was investigated using solutions of the diffusion theory. A neural network was applied to study the inverse problem. The reduced scattering coefficient and the absorption coefficient of the brain were determined in a four-layered model. In addition, without knowing exactly the optical properties of the other layers we calculated the absorption coefficient of the brain in a four- and five-layered model.

Citation Download Citation

Marion Jäger, André Liemert, Florian Foschum, and Alwin Kienle "Non-invasive determination of the optical properties of brain using a neural network", Proc. SPIE 7369, Diffuse Optical Imaging II, 73691K (9 July 2009); https://doi.org/10.1117/12.831673

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