A System to Share and Explore Human Brain Mapping Data

共享和探索人脑图谱数据的系统

• 批准号: 6937079
• 负责人: KEN SMITH
• 金额: $ 67.1万
• 依托单位: MITRE CORPORATION
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-30 至 2008-09-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6937079
• 关键词: brain mapping; human tissue; information dissemination; information retrieval; information system analysis; information systems; library; magnetic resonance imaging; mental health information system; neurosciences; technology /technique development

DESCRIPTION (provided by applicant): The neuroscience community is accumulating a vast amount of human brain mapping data using a variety of techniques that operate over a wide range of spatial scales. Currently its use is generally limited to the laboratory of origin; the data are not readily available to other investigators for subsequent studies. The overall goal of this research is to design, prototype, and evaluate an information infrastructure for human brain mapping data, which will help realize the full potential of this growing store of mapping data. In this initial undertaking, we focus on a system that enables the analysis, exploration, and dissemination of structural Magnetic Resonance Imaging (MRI) data. Our major aims are: 1) to develop and deploy an operational digital library for structural MRI data that will enable users to contribute and retrieve data, as well as explore and analyze associated metadata; 2) to design a data warehouse of structural MRI data that will allow users to manipulate images, explore spatial relationships among regions, and reason about abstract attributes of structural regions (e.g., volume); 3) to design a content-based retrieval system that will allow users to retrieve images with features similar to those in a submitted example; 4) to develop techniques that enable users to dynamically aggregate warehouse information into a probabilistic brain atlas for specified populations of interest; and 5) to develop a prototype system that will ground architecture and query language development in a real world setting so that tradeoffs in design choices may be accurately evaluated.

描述（由申请人提供）：神经科学界正在积累 使用各种技术绘制大量人脑图谱数据 在广泛的空间尺度上运作。目前其用途一般为 仅限于来源实验室；数据不易获得 其他研究者进行后续研究。本研究的总体目标 是为人类设计、原型化和评估信息基础设施 大脑图谱数据，这将有助于充分发挥这种不断增长的潜力 地图数据的存储。在这项最初的工作中，我们专注于一个系统 能够分析、探索和传播结构磁学 共振成像 (MRI) 数据。我们的主要目标是：1）开发和部署 用于结构 MRI 数据的可操作数字图书馆，使用户能够 贡献和检索数据，以及探索和分析相关数据 元数据； 2) 设计一个结构 MRI 数据的数据仓库，允许 用户操纵图像，探索区域之间的空间关系，以及 关于结构区域的抽象属性（例如体积）的原因； 3）到 设计一个基于内容的检索系统，允许用户检索 与所提交示例具有相似特征的图像； 4）开发 使用户能够动态聚合仓库信息的技术 进入特定感兴趣人群的概率大脑图谱；和 5) 开发一个奠定架构和查询语言基础的原型系统 在现实世界环境中进行开发，以便可以在设计选择上进行权衡 准确评估。

项目成果

No-reference image quality metrics for structural MRI.

结构 MRI 的无参考图像质量指标。

• 发表时间: 2006
• 影响因子: 3
• 作者: Woodard, Jeffrey P;Carley
• 通讯作者: Carley

Enabling the sharing of neuroimaging data through well-defined intermediate levels of visibility.

通过明确定义的中间可见性级别实现神经影像数据的共享。

• 发表时间: 2004-08
• 作者: Smith, Kenneth;Jajodia, Sushil;Swarup, Vipin;Hoyt, Jeffrey;Hamilton, Gail;Faatz, Donald;Cornett, Todd
• 通讯作者: Cornett, Todd