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Non-ergodicity correction in laser speckle biomedical imaging

机译:激光散斑生物医学成像中的非遍历校正

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We discuss a new approach to laser speckle biomedical imaging with the goal to establish a quantitative link between the measured signal and the local dynamic properties of Brownian motion or blood flow. We demonstrate that the presence of a static component in laser speckle imaging signal can significantly complicate the quantitative interpretation of the imaging data. With Monte-Carlo simulations and model experiments we show that the error in the mean particles velocity extracted using traditional approaches can reach several orders of magnitude. With a proper data treatment on the other side the error can be substantially reduced. We suggest a simple data processing scheme that properly accounts for a static component in the scattered light intensity.
机译:我们讨论了一种新的激光散斑生物医学成像方法,其目的是在被测信号与布朗运动或血流的局部动态特性之间建立定量联系。我们证明了在激光散斑成像信号中静态成分的存在会极大地使成像数据的定量解释复杂化。通过蒙特卡洛模拟和模型实验,我们证明了使用传统方法提取的平均粒子速度的误差可以达到几个数量级。通过在另一侧进行适当的数据处理,可以显着减少错误。我们建议一种简单的数据处理方案,该方案应适当考虑散射光强度中的静态分量。

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