A System to Share and Explore Human Brain Mapping Data

描述（由申请人提供）：神经科学界正在积累 大量的人脑映射数据使用各种技术， 在很大的空间尺度上运作。目前，它的使用一般 仅限于原始实验室;数据不容易获得， 其他研究人员进行后续研究。本研究的总体目标是 是为人类设计、原型化和评估信息基础设施， 大脑映射数据，这将有助于实现这一增长的全部潜力， 存储映射数据。在这个初步的承诺，我们专注于一个系统， 使分析，勘探和传播结构磁 共振成像（MRI）数据。我们的主要目标是：1）开发和部署一个 结构MRI数据的可操作数字库，使用户能够 贡献和检索数据，以及探索和分析相关的 元数据; 2）设计结构MRI数据的数据仓库， 用户可以操纵图像，探索区域之间的空间关系， 关于结构区域的抽象属性的原因（例如，（3）;（4） 设计一个基于内容的检索系统，使用户能够检索 具有与提交的示例中的特征相似的特征的图像; 4）开发 使用户能够动态聚合仓库信息的技术 用于特定感兴趣人群的概率脑图谱;以及5） 开发一个原型系统， 在真实的世界环境中进行开发，以便在设计选择中进行权衡， 准确评价。

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.