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Modeling of a focused Gaussian beam into multi-layered tissue with Monte Carlo simulation.

机译:使用蒙特卡洛模拟将聚焦的高斯光束转换成多层组织。

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摘要

Monte Carlo method is a statistical method that is built on random sampling of variables from well-defined probability distributions. It has been employed rigorously to study the photon transport in biologically turbid media. This thesis employs a well-established simulation program called "MCML" to study photon transport in biologically turbid media. In the present work, we use Monte Carlo method for modeling finite diameter optical beams, which are in general approximated by uniform or Gaussian intensity distributions.; In order to model focused Gaussian beams with Monte Carlo simulation, the "MCML" program was modified based on a probability distribution found in the literature. However, errors were encountered in the calculated physical quantities by Monte Carlo simulation. This error formed a strong motivation to search for and analyze its source.; Using simulation, we prove that the probability density function used in the literature is a source of error in the calculations of the physical quantities evaluated by Monte Carlo simulation. We propose another probability density function that is shown to provide a dramatic improvement compared with the other function.
机译:蒙特卡洛方法是一种统计方法,建立在对来自明确定义的概率分布的变量进行随机抽样的基础上。它已被严格地用于研究生物混浊介质中的光子传输。本文采用了成熟的模拟程序“ MCML”来研究光在生物混浊介质中的传输。在目前的工作中,我们使用蒙特卡罗方法对有限直径的光束进行建模,通常用均匀或高斯强度分布来近似。为了用蒙特卡洛模拟对聚焦的高斯光束进行建模,基于文献中发现的概率分布对“ MCML”程序进行了修改。然而,通过蒙特卡洛模拟在计算的物理量中遇到误差。该错误成为寻找和分析其来源的强烈动机。通过仿真,我们证明了文献中使用的概率密度函数是通过蒙特卡洛仿真评估的物理量计算中的误差来源。我们提出了另一个概率密度函数,与其他函数相比,该函数提供了显着的改善。

著录项

  • 作者单位

    Concordia University (Canada).;

  • 授予单位 Concordia University (Canada).;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.A.Sc.
  • 年度 2005
  • 页码 84 p.
  • 总页数 84
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

  • 入库时间 2022-08-17 11:42:29

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