PERTURBATION MONTE CARLO TECHNIQUES FOR DIFFUSE PHOTON MIGRATION

该子项目是利用NIH/NCRR资助的中心赠款提供的资源的许多研究子项目之一。子项目和研究者（PI）可能从另一个NIH来源获得主要资金，因此可以在其他CRISP条目中表示。所列机构为中心，不一定是研究者所在机构。一种新的和有效的方法的发展继续提供解决方案，在非均匀混浊介质中的逆光子迁移问题。该方法提取衍生信息从一个单一的蒙特卡罗模拟，以允许快速确定检测到的光子信号的变化率相对于扰动的背景组织光学特性。然后，我们提供的衍生信息的非线性优化算法，以确定所考虑的组织异质性的光学特性。我们已经证明了这种方法在两层介质以及更复杂的组织几何形状描述的特定应用程序。

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.