C# CODE DEVELOPMENT AND SYSTEM VALIDATION

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。 调制成像是一种对组织的散射和吸收特性进行定量成像的技术。它特别有趣，因为它允许临床医生获得关于组织切片的有用的定量信息，例如血液中氧合和脱氧血红蛋白的浓度。理想情况下，这种信息可以实时获得，从而提供了一种监测组织内时间变化的方法。然而，由于必须处理大量的数据，实时成像目前是不可行的。 我们提出了分布式计算作为这一问题的解决方案。MI的数据处理涉及许多可以并行运行的计算。该项目旨在测试将网格计算用于MI的可行性，以及开发可用于其他应用程序的通用网格计算工具，例如运行蒙特卡罗模拟。 该项目专注于通过幻影测量来验证第二代用户界面和用C#编写的处理算法。

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. Modulated Imaging (MI) is a technology for quantitatively imaging scattering and absorption properties of tissue. It is particularly interesting because it allows clinicians to obtain useful, quantitative information about a section of tissue, such as the concentrations of oxy- and deoxy-hemoglobin in the blood. Ideally, this information could be obtained in real time, providing a means to monitor temporal changes within the tissue. However, real-time imaging is currently not feasible due to the large amount of data that must be processed. We have proposed distributed computing as a solution to this problem. The data processing for MI involves many calculations that can be run in parallel. This project aims at testing the viability of using grid computing for MI as well as developing a generic grid computing tool that could be used for other applications such as running Monte Carlo Simulations. This project is focused on validating the second generation user interface and processing algorithms coded in C# through phantom measurements.