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

机译:使用神经网络非侵入式确定大脑的光学特性

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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.
机译:使用扩散理论的解决方案研究了光在大脑n层模型中的传播。应用神经网络研究反问题。在四层模型中确定降低的散射系数和大脑的吸收系数。另外,在不完全了解其他层的光学特性的情况下,我们在四层和五层模型中计算了大脑的吸收系数。

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