PERTURBATION MONTE CARLO TECHNIQUES FOR DIFFUSE PHOTON MIGRATION

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 为了解决非均匀混浊介质中的反光子迁移问题，人们一直在开发一种新的、有效的方法。该方法从单个蒙特卡罗模拟中提取导数信息，以允许快速确定检测到的光子信号相对于背景组织光学属性的扰动的变化率。然后，我们将导数信息提供给一个非线性优化算法，以确定所考虑的组织异质性的光学特性。我们已经在两层介质以及描述特定应用的更复杂的组织几何结构中演示了这种方法。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Development has continued of a novel and efficient method to provide solutions to inverse photon migration problems in heterogeneous turbid media. The method extracts derivative information from a single Monte Carlo simulation to permit the rapid determination of rates of change in the detected photon signal with respect to perturbations in background tissue optical properties. We then supply the derivative information to a nonlinear optimization algorithm to determine the optical properties of the tissue heterogeneity under consideration. We have demonstrated this approach in two layered media as well as more complex tissue geometries descriptive of particular applications.