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Effect of roughness in non-diffusive regions within diffusive media

机译:扩散介质内非扩散区粗糙度的影响

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摘要

Recently, it has been shown that clear regions within diffusive media can be accurately modelled within the diffusion approximation by means of a novel boundary condition or by an approximation to it. This can be directly applied to the study of light propagation in brain tissue, in which there exist clear regions, and in particular, the cerebro spinal fluid (CSF) layer under the skull. In this work, we present the effect that roughness in the boundary of non-diffusive regions has on the measured signal, since, in practice, the CSF layer is quite rough. The same conclusions can be extended to any diffusive medium which encloses rough non-diffusive regions. We will demonstrate with numerical calculations that the roughness statistics of the interfaces although not their actual profile must be known a priori in order to correctly predict the shape of the measured signal. We show that as the roughness increases, the effect of the non-diffusive region diminishes until it disappears, thus yielding data similar to those of a fully diffusive region.
机译:近来,已经表明,借助于新颖的边界条件或其近似,可以在扩散近似内准确地对扩散介质内的透明区域进行建模。这可以直接用于研究在脑组织中的光传播,其中存在清晰的区域,尤其是在颅骨下方的脑脊髓液(CSF)层。在这项工作中,我们提出了非扩散区域边界上的粗糙度对测量信号的影响,因为实际上CSF层非常粗糙。相同的结论可以推广到任何包含粗糙的非扩散区域的扩散介质。我们将通过数值计算来证明,尽管接口的粗糙度统计数据并不是其实际轮廓,但必须先验知道它们,以便正确预测所测量信号的形状。我们表明,随着粗糙度的增加,非扩散区的影响会减小,直到消失为止,从而产生与完全扩散区相似的数据。

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