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Probability density function of the electric field in diffuse correlation spectroscopy of human bone in vivo

机译:人体扩散相关光谱中电场的概率密度函数

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摘要

Diffuse correlation spectroscopy (DCS) is the technique of choice for non-invasive assessments of human bone blood flow. However, DCS classical algorithms are based on the fundamental assumption that the electric field of the light reaching the DCS photodetector is a zero-mean complex Gaussian variable. The non-validity of this hypothesis might produce inaccurate blood flow estimations. It is shown that for the human tibia, the "Gaussian hypothesis" holds for interoptode distances >= 20 mm. This lower boundary seems to depend on the type of investigated tissue. (C) 2016 Optical Society of America
机译:扩散相关光谱法(DCS)是非侵入性评估人骨血流的一种选择技术。但是,DCS经典算法基于以下基本假设:到达DCS光电检测器的光的电场为零均值复高斯变量。该假设的无效性可能会产生不正确的血流估计。结果表明,对于人类胫骨,“高斯假说”适用于光电二极管之间的距离> = 20 mm。该下边界似乎取决于所研究组织的类型。 (C)2016美国眼镜学会

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