Collaborative Brain Mapping: Tools for Sharing

协作脑图绘制：共享工具

• 批准号: 6953037
• 负责人: ARTHUR W TOGA
• 金额: $ 64.74万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-28 至 2009-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6953037
• 关键词: Internet; artificial intelligence; bioimaging /biomedical imaging; brain imaging /visualization /scanning; brain mapping; computer data analysis; computer program /software; computer system design /evaluation; confidentiality; data management; information dissemination; information systems; mathematics

DESCRIPTION (provided by applicant): Sharing data between research centers is increasingly important for contemporary brain imaging studies because they involve large numbers of subjects and complex analysis protocols that require highly specialized expertise. Our long-term objective is to facilitate brain-imaging research by enabling remote researchers to pool data between institutions and to analyze data using the appropriate algorithms executing on distributed resources. There are a number of difficult data management and technology challenges that have limited the success of data sharing environments. Rather than attempt to develop a comprehensive and general solution, we propose to develop a set of open, interoperable, and portable software tools that address critical issues currently limiting efforts to share and analyze brain-imaging data. Building upon years of providing brain-mapping expertise to collaborators, we propose to solve problems that we repeatedly encounter and that currently limit progress in brain imaging research. We propose to develop validated tools that enable collaborators to remotely access a variety of data analysis methods and databases. We will create web-based tools to perform multi-institutional studies, and provide access to complex data processing protocols executing on distributed computing resources. There are three specific aims. 1) Enable the web based acquisition and management of data utilizing an access control system that includes consideration of subject consent limits and investigator imposed conditions to facilitate data pooling for multi-institutional studies. This system will convert data files between different formats and schemas so that data can be used consistently between analysis programs and databases. It will also anonymize images and metadata according to institution-specific protocols. 2) Develop a system that is aware of data type and provenance so that it may act intelligently to arbitrate between different analysis programs. This system will capture the expertise of experienced lab personnel in the usage of various tools and assist new users in designing appropriate analytic strategies. 3) Create meta-algorithms that improve the robustness of techniques for neuroimaging analysis by intelligently combining the results from multiple algorithms. The proposed approach will provide a set of tools that address significant problems in data sharing and utilization. The resulting information technology will be scalable and applicable to other scientific data sharing problems.

描述（由申请人提供）：研究中心之间共享数据对于当代大脑成像研究越来越重要，因为它们涉及大量受试者和需要高度专业知识的复杂分析协议。我们的长期目标是通过使远程研究人员能够在机构之间汇总数据并使用在分布式资源上执行的适当算法来分析数据，从而促进大脑成像研究。有许多困难的数据管理和技术挑战限制了数据共享环境的成功。我们没有尝试开发全面和一般的解决方案，而是建议开发一套开放，可互操作和便携式软件工具，以解决目前限制共享和分析大脑成像数据的关键问题。在多年来为合作者提供大脑映射专业知识的基础上，我们建议解决我们反复遇到的问题，目前限制了脑成像研究的进展。我们建议开发经过验证的工具，使合作者能够远程访问各种数据分析方法和数据库。我们将创建基于Web的工具来执行多机构研究，并提供对分布式计算资源执行的复杂数据处理协议的访问。有三个特定的目标。 1）利用访问控制系统的基于Web的获取和数据管理，其中包括对受试者的同意限制和研究者施加的条件，以促进数据集合进行多机构研究。该系统将在不同格式和模式之间转换数据文件，以便可以在分析程序和数据库之间始终使用数据。它还将根据特定于机构的协议匿名化图像和元数据。 2）开发一个了解数据类型和出处的系统，以便它可以聪明地采取行动以在不同的分析程序之间进行仲裁。该系统将捕获经验丰富的实验室人员在使用各种工具方面的专业知识，并帮助新用户设计适当的分析策略。 3）创建元词素，通过智能地结合多种算法的结果来改善神经影像学分析的鲁棒性。所提出的方法将提供一组解决数据共享和利用中重大问题的工具。最终的信息技术将是可扩展的，并且适用于其他科学数据共享问题。