PERTURBATION MONTE CARLO TECHNIQUES FOR DIFFUSE PHOTON MIGRATION

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 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. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. 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.