A System to Share and Explore Human Brain Mapping Data

神经科学界正在使用各种各样的技术积累大量的人脑图谱数据，这些技术在广泛的空间尺度上运行。目前，它的使用一般仅限于起源实验室；这些数据不容易被其他研究人员用于后续研究。这项研究的总体目标是设计、制作和评估人脑映射数据的信息基础设施，这将有助于实现这一不断增长的映射数据存储的全部潜力。在最初的工作中，我们将重点放在一个能够分析、探索和传播结构磁共振成像(MRI)数据的系统上。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，以及探索和分析相关元数据；2)设计结构磁共振数据的数据仓库，允许用户操作图像，探索区域之间的空间关系，并对结构区域(例如体积)的抽象属性进行推理；3)设计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地将仓库信息聚集到特定感兴趣人群的概率脑图谱中的技术；以及5)开发一个原型系统，该原型系统将使体系结构和查询语言开发在真实世界环境中奠定基础，从而可以准确地评估设计选择的权衡。

Smith, Kenneth P.0135397The neuroscience community is accumulating a vast amount of human brain mapping data using avariety of techniques that operate over a wide range of spatial scales. Currently its use is generallylimited to the lab of origin; the data is not readily available to other investigators for subsequent studies.The overall goal of this research is to design, prototype, and evaluate an information infrastructure forhuman brain mapping data which will help realize the full potential of this growing store of mappingdata. In this initial undertaking, we focus on a system that enables the analysis, exploration, anddissemination of structural Magnetic Resonance Imaging (MRI) data. Our major aims are: 1) to developand deploy an operational digital library for structural MRI data that will enable users to contribute andretrieve data, as well as explore and analyze associated metadata; 2) to design a data warehouse ofstructural MRI data that will allow users to manipulate images, explore spatial relationships amongregions, and reason about abstract attributes of structural regions (e.g., volume); 3) to design acontent-based retrieval system that will allow users to retrieve images with features similar to those in asubmitted example; 4) to develop techniques that enable users to dynamically aggregate warehouseinformation into a probabilistic brain atlas for specified populations of interest; and 5) to develop aprototype system that will ground architecture and query language development in a real world setting sothat tradeoffs in design choices may be accurately evaluated.