C# CODE DEVELOPMENT AND SYSTEM VALIDATION

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• 批准号: 8362643
• 负责人: ANTHONY J DURKIN
• 金额: $ 0.16万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-04-01 至 2012-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8362643
• 关键词: Algorithms; Biotechnology; Blood; Code; Data; Funding; Generations; Generic Drugs; Grant; Hemoglobin; Image; Lasers; Measurement; Monitor; National Center for Research Resources; Principal Investigator; Process; Property; Research; Research Infrastructure; Resources; Running; Solutions; Source; Systems Development; Technology; Testing; Time; Tissues; United States National Institutes of Health; Validation; absorption; cluster computing; computerized data processing; cost; interest; simulation; tool

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.

该子项目是利用资源的众多研究子项目之一 由 NIH/NCRR 资助的中心拨款提供。子项目的主要支持 并且子项目的主要研究者可能是由其他来源提供的， 包括其他 NIH 来源。 子项目可能列出的总成本 代表子项目使用的中心基础设施的估计数量， NCRR 赠款不直接向子项目或子项目工作人员提供资金。 调制成像（MI）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有关组织部分的有用的定量信息，例如血液中氧合血红蛋白和脱氧血红蛋白的浓度。理想情况下，这些信息可以实时获得，从而提供一种监测组织内时间变化的方法。然而，由于必须处理大量数据，实时成像目前还不可行。 我们提出分布式计算作为这个问题的解决方案。 MI 的数据处理涉及许多可以并行运行的计算。该项目旨在测试使用网格计算进行 MI 的可行性，并开发可用于其他应用程序（例如运行蒙特卡罗模拟）的通用网格计算工具。 该项目的重点是通过虚拟测量验证第二代用户界面和用 C# 编码的处理算法。