The photo-electric current in laser-Doppler flowmetry by Monte Carlo simulations.
The photo-electric current in laser-Doppler flowmetry by Monte Carlo simulations.
复制标题
通过蒙特卡罗模拟的激光多普勒流量测量中的光电流。
DOI：
10.1088/0031-9155/54/14/n03
复制
发表时间：
2009
影响因子：
3.5
通讯作者：
Binzoni T
中科院分区：
文献类型：
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作者：
Binzoni T
蒙特卡罗（MC）模拟显着有助于更好地理解激光多普勒血流仪（LDF）。在这里，它表明，从标准MC模拟获得的数据可以重新解释，并用于提取更多的信息，如光电流（i（t））。这很重要，因为i（t）是评估LDF仪器中使用的任何现有或新算法的起点。这避免了每次考虑不同算法时生成特定模型（如果可能的话，通常是近似的）的繁琐过程。通过一系列的教学实例，研究了各种参数的影响，如采样率，总采集时间和直流滤波。这些情况也证明了光子的随机相位在LDF信号的成形中所起的基本作用。特别是，它是由MC模拟表明，当光子移动的红细胞相互作用的数量太低，然后Siegert关系，存在于场和光电流自相关函数之间不成立。这是一个重要的一点，因为Siegert关系的有效性是隐含承认在大多数的经典分析模型的自相关函数在LDF（经典MC方法不允许研究这个问题）。所提出的方法和实例可以激发新的想法，并帮助科学界开发，测试和验证LDF中的新方法。
Monte Carlo (MC) simulations significantly contributed to a better understanding of laser-Doppler flowmetry (LDF). Here it is shown that the data obtained from standard MC simulations can be reinterpreted and used to extract more information such as the photo-electric current (i (t)). This is important because i (t) is the starting point for evaluating any existing or new algorithm to be used in LDF instrumentation. This circumvents the tedious procedure of generating a specific model (often approximated if possible at all) each time a different algorithm is considered. By a series of tutorial examples, the influence of various parameters is investigated, eg sampling rate, total acquisition time and dc filtering. These cases also demonstrate the fundamental role played by the photons' random phase in the shaping of the LDF signal. In particular, it is demonstrated by MC simulation that when the number of photon-moving red blood cell interactions is too low, then the Siegert relation that exists between the field and photo-electric current autocorrelation functions does not hold. This is an important point because the validity of the Siegert relation is implicitly admitted in the majority of the classical analytical models for the autocorrelation function in LDF (the classical MC approach does not allow one to study this problem). The proposed method and examples could stimulate new ideas and help the scientific community develop, test and validate new approaches in LDF.