C# CODE DEVELOPMENT AND SYSTEM VALIDATION

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 调制成像（MI）是一种用于定量成像组织的散射和吸收特性的技术。这是特别有趣的，因为它允许临床医生获得有用的，定量信息的一部分组织，如浓度的氧和脱氧血红蛋白在血液中。理想情况下，可以在真实的时间内获得该信息，从而提供监测组织内的时间变化的手段。然而，由于必须处理大量数据，实时成像目前是不可行的。 我们已经提出了分布式计算作为解决这个问题的方案。MI的数据处理涉及许多可以并行运行的计算。该项目旨在测试使用网格计算的MI以及开发一个通用的网格计算工具，可用于其他应用程序，如运行蒙特卡罗模拟的可行性。 该项目的重点是通过体模测量验证第二代用户界面和C#编码的处理算法。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. 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. 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.