TR&D3: Open-Source Tools for Processing Hyperpolarized MR Data

TR

• 批准号: 8935687
• 负责人: SARAH J. NELSON
• 金额: $ 27.8万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2021-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8935687
• 关键词: Algorithms; Area; Biological; Biological Models; Cells; Collaborations; Communities; Complex; Computer software; Coupled; Custom; Data; Data Analyses; Data Set; Development; Disease Progression; Documentation; Educational workshop; Feedback; Funding; Geometry; Human; Image; Imagery; In Vitro; Instruction; Internet; Kinetics; Libraries; Magnetic Resonance Imaging; Measures; Metabolic; Methodology; Methods; Modality; Modeling; Performance; Persons; Physiologic pulse; Pre-Clinical Model; Process; Publications; Reading; Research; Research Personnel; Resources; Sampling; Scheme; Services; Slice; Software Framework; Software Tools; Structure; Technology; Time; Training; Training Support; Translating; Translations; Update; Validation; Work; base; data acquisition; data format; design; experience; flexibility; imaging modality; improved; interest; meetings; new technology; novel; novel strategies; open source; pre-clinical; reconstruction; research study; spectrograph; spectroscopic imaging; tool; treatment effect; web site

PROJECT SUMMARY/ABSTRACT The objective of this project is to develop novel, open-source, DICOM compliant, cross-platform software tools for reconstructing, quantifying and visualizing hyperpolarized MR data as driven by the HMTRC Collaborative Projects and to maintain, disseminate, and refine the SIVIC package to meet the broad needs of this rapidly expanding field. The unique challenges associated with the acquisition and interpretation of such data has meant that new strategies are required for reconstruction, quantitative analysis and integration with other imaging modalities. There are currently no commercial packages available to meet these needs. The dissemination of new methodologies and applications being investigated by TR&D1 and TR&D2 is critically dependent upon having a rapid feedback between theoretical concept, experiment and interpretation of results. The progress that TR&D3 has made in the last three years in satisfying these requirements has been a major factor in meeting the needs of the Research, Collaborative and Service Projects. The SIVIC package and new, custom designed capabilities have been disseminated through one-on-one interactions, in highly successful, hands-on sessions at the HMTRC workshops and using the comprehensive on-line portal. In translating the hyperpolarized C-13 technology from in vitro to pre-clinical and human studies, we have identified several areas where new approaches would have a major impact for our users. In the next funding cycle we propose to accelerate the pace of discovery and translation in three main areas: Aim 1: To expand and enhance the capabilities of the SIVIC software package to support development, analysis and validation of the new data acquisition strategies being developed in TR&D1 and TR&D2. Aim 2: To develop new algorithms and pipelines for analyzing hyperpolarized MR data for applications that are being driven by investigators in the Collaborative and Service Projects. Aim 3: To disseminate, support and provide ongoing refinements for software tools, analysis methods and novel algorithms being developed in SIVIC for interpretation of hyperpolarized MR data for the Research, Collaborative and Service Projects, as well as the broader research community.

项目概要/摘要 该项目的目标是开发新颖、开源、符合 DICOM 标准的跨平台软件工具 用于在 HMTRC 协作的驱动下重建、量化和可视化超极化 MR 数据 项目并维护、传播和完善 SIVIC 包，以满足快速发展的广泛需求 扩大领域。与获取和解释此类数据相关的独特挑战已经 意味着需要新的策略来重建、定量分析以及与其他方面的整合 成像方式。目前还没有商业包可以满足这些需求。这 TR&D1 和 TR&D2 正在研究的新方法和应用的传播至关重要 依赖于理论概念、实验和结果解释之间的快速反馈。 TR&D3 在过去三年中在满足这些要求方面取得的重大进展 满足研究、合作和服务项目需求的因素。 SIVIC 包和新的， 定制设计的功能已通过一对一的互动传播，非常成功， 在 HMTRC 研讨会上进行实践课程并使用综合在线门户。在翻译中 超极化C-13技术从体外到临床前和人体研究，我们已经确定了几种 新方法将对我们的用户产生重大影响的领域。在下一个融资周期中，我们建议 加快三个主要领域的发现和翻译步伐： 目标 1：扩展和增强 SIVIC 软件包的功能以支持开发， 分析和验证 TR&D1 和 TR&D2 中正在开发的新数据采集策略。 目标 2：开发新的算法和流程来分析超极化 MR 数据，以用于以下应用： 由协作和服务项目的研究人员推动。 目标 3：传播、支持和提供软件工具、分析方法和持续改进 SIVIC 正在开发新算法，用于解释研究的超极化 MR 数据， 合作和服务项目，以及更广泛的研究社区。