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: 0135397
• 负责人: Stephen Koslow
• 金额: $ 1万
• 依托单位: National Institutes of Health Office on Neuroinformatics
• 依托单位国家: 美国
• 项目类别: Interagency Agreement
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-10-01 至 2004-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0135397&HistoricalAwards=false
• 关键词: System; Share; Explore; Human; Brain

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.

Smith，Kenneth P.0135397神经科学界正在使用各种各样的技术积累大量的人类大脑映射数据，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实验室的起源;数据是不容易获得的其他研究人员为后续研究。这项研究的总体目标是设计，原型，并评估信息基础设施，为人脑映射数据，这将有助于实现充分的潜力，这越来越多的映射数据存储。在这个初步的承诺，我们专注于一个系统，使结构磁共振成像（MRI）数据的分析，探索和传播。我们的主要目标是：1）开发和部署用于结构MRI数据的可操作的数字图书馆，其将使用户能够贡献和检索数据，以及探索和分析相关联的元数据; 2）设计结构MRI数据的数据仓库，其将允许用户操纵图像，探索区域之间的空间关系，以及推理结构区域的抽象属性（例如，volume）; 3）设计基于内容的检索系统，使用户能够检索具有与所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地将仓库信息聚合到针对特定感兴趣人群的概率脑图谱中的技术;和5）开发一个原型系统，它将在真实的世界环境中进行体系结构和查询语言的开发，以便在设计选择中进行权衡可以准确评估。