COMKAT:Compartment Model Kinetic Analysis/Imaging

COMKAT：房室模型动力学分析/成像

• 批准号: 6783861
• 负责人: RAYMOND F MUZIC
• 金额: $ 32.65万
• 依托单位: CASE WESTERN RESERVE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-04-01 至 2007-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6783861
• 关键词: Internet; animal data; bioengineering /biomedical engineering; bioimaging /biomedical imaging; bioinformatics; chemical kinetics; chemical models; computational biology; computer data analysis; computer program /software; computer simulation; computer system design /evaluation; experimental designs; human data; image processing; information dissemination; method development; molecular dynamics; pharmacokinetics; radiopharmacology; training

DESCRIPTION (provided by applicant): Effective molecular imaging research depends on successful kinetic modeling of dynamic image data. The need for optimal experimental design and data analysis tools will grow as molecular imaging research expands. These techniques will be used in oncology (and other diseases) for diagnosis, staging, and monitoring response to therapy. Our overall objective is to fulfill currently unmet needs of quantitative analysis of image data. Our aims are to: 1) develop, 2) disseminate, and 3) support novel methods and new tools. The proposed methods and software will facilitate rapid, reliable quantification for in vivo characterization of molecular and cellular events. Integration of kinetic, molecular, and anatomic information will be key. We have already developed and implemented the core functionality for new methods in quantitative dynamic image analysis which we have named COMKAT: Compartment Model Kinetic Analysis Tool. COMKAT currently includes construction, simulation, and fitting user-specified models to kinetic data. We will expand its functionality and features by including co-registration, fusion and visualization of multi-modality data; region of interest specification and time-activity curve creation; generation of parametric images; optimal experiment design; and a library of examples. Moreover, we will develop new analysis and experiment design methods and assess their performance with simulations based on the developed software. Findings will be published to guide others in selecting analysis methods. In total, these developments serve as a necessary platform for future research and investigation. To maximize the value of this work, we will disseminate and support the software so that the cellular, molecular and general imaging communities may benefit from it. Specifically, we will expand the current web site from which COMKAT is distributed in source-code form. We will refine and expand the documentation; implement web-based version control for maintaining source code, documentation and web pages; implement web-based bug reporting and tracking; and create an online discussion forum. We will instruct people in use of the software; create an interactive, on-line course; develop new functionality in response to user requests; assist advanced modelers in expanding the software; and assist users in pre-study design of experiments and post-study analysis of data. We will establish an advisory panel composed of individuals experienced in quantitative analysis of images to guide and prioritize our development, dissemination and support processes. Many of these people will be associated with institutions that have NIH-supported In Vivo Cellular and Molecular Imaging Centers (ICMICs) or pre-ICMICs. NIH support to create quality analytical tools demanded by research is necessary since commercial product development is not economically feasible since the market for such software is small and specialized.

描述（由申请人提供）： 有效的分子成像研究取决于动态图像数据的成功动力学建模。随着分子成像研究的扩展，对最佳实验设计和数据分析工具的需求将增长。这些技术将用于肿瘤学（和其他疾病），以诊断，分期和监测对治疗的反应。我们的总体目标是满足当前对图像数据定量分析的需求。我们的目标是：1）开发，2）传播，3）支持新方法和新工具。所提出的方法和软件将促进分子和细胞事件体内表征的快速，可靠的定量。动力学，分子和解剖信息的整合将是关键。 我们已经开发并实施了定量动态图像分析中新方法的核心功能，我们将其命名为COMKAT：隔室模型动力学分析工具。 COMKAT当前包括构造，仿真和拟合用户指定模型的动力学数据。我们将通过包括共同注册，融合和可视化多模式数据来扩展其功能和功能；感兴趣的区域规范和时间活性曲线的创建；产生参数图像；最佳实验设计；和一个示例库。此外，我们将开发新的分析和实验设计方法，并通过基于开发软件的模拟评估其性能。调查结果将发布，以指导其他人选择分析方法。总的来说，这些发展是未来研究和调查的必要平台。 为了最大程度地提高这项工作的价值，我们将传播和支持该软件，以便细胞，分子和一般成像群落可以从中受益。具体来说，我们将扩展当前网站以源代码形式分发comkat。我们将完善并扩展文档；实现基于Web的版本控制以维护源代码，文档和网页；实现基于Web的错误报告和跟踪；并创建一个在线讨论论坛。我们将指示使用该软件的人；创建一个互动的在线课程；根据用户请求开发新功能；协助高级建模者扩展软件；并协助用户对实验的研究和数据进行研究后分析。我们将建立一个咨询小组，该咨询面板由在图像进行定量分析方面经历的个人组成，以指导和优先考虑我们的发展，传播和支持过程。这些人中的许多人将与在体内细胞和分子成像中心（ICMICS）或ICMICS中支持NIH支持的机构有关。 NIH支持以创建研究要求的质量分析工具是必要的，因为商业产品开发在经济上是不可行的，因为这种软件的市场很小且专业化。