A System to Share and Explore Human Brain Mapping Data

描述(申请人提供)：神经科学界正在积累 使用各种技术的海量人脑图谱数据， 在广泛的空间尺度上运行。目前，它的用途一般是 仅限于原产地实验室；这些数据不容易提供给 其他调查人员进行后续研究。这项研究的总体目标 是为人类设计、制作原型和评估信息基础设施 脑图数据，这将有助于实现这种增长的全部潜力 映射数据的存储。在这个最初的承诺中，我们关注的是一个 支持分析、探索和传播结构磁性 磁共振成像(MRI)数据。我们的主要目标是：1)开发和部署 结构磁共振数据的可操作数字图书馆，使用户能够 贡献和检索数据，以及浏览和分析相关的 元数据；2)设计结构化MRI数据的数据仓库，使 用户可以操作图像，探索区域之间的空间关系，以及 结构区域抽象属性的原因(如体积)；3) 设计一个基于内容的检索系统，允许用户检索 具有与提交的示例相似的特征的图像；4)开发 使用户能够动态聚合仓库信息的技术 到特定感兴趣人群的概率脑图谱中；以及5) 开发一个原型系统，为体系结构和查询语言奠定基础 在真实环境中进行开发，以便在设计选择上进行权衡 准确评估。

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.