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大间距激光多普勒血流仪蒙特卡罗方法的随机数自由解析实现:在人体骨组织中的应用

Random numbers free analytical implementation of Monte Carlo for laser-Doppler flowmetry at large interoptode spacing: application to human bone tissue.

作者信息

Binzoni Tiziano, Martelli Fabrizio

出版信息

Appl Opt. 2015 Mar 20;54(9):2400-6. doi: 10.1364/AO.54.002400.

Abstract

Classical Monte Carlo (MC) simulations for laser-Doppler flowmetry (LDF) often necessitate too long computation times and specialized hardware. This is particularly true for LDF at large interoptode spacing with low absorption coefficients and large anisotropic factors representing real biological tissues. For this reason, a random numbers free "analytical" implementation of the classical MC (MC) is proposed. The MC approach allows to obtain noise exempt LDF spectra in a short time and with a simple personal laptop. The proposed MC holds for a diffusive regime of light propagation and it is practically implemented for a semi-infinite geometry. Its validity is demonstrated by comparisons with the classical MC.

摘要

用于激光多普勒血流仪(LDF)的经典蒙特卡罗(MC)模拟通常需要很长的计算时间和专用硬件。对于具有低吸收系数和代表真实生物组织的大各向异性因子的大光极间距下的LDF来说尤其如此。因此,提出了一种无随机数的经典MC的“解析”实现方法。MC方法能够在短时间内使用简单的个人笔记本电脑获得无噪声的LDF光谱。所提出的MC适用于光传播的扩散模式,并且实际上是针对半无限几何结构实现的。通过与经典MC的比较证明了其有效性。

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