Building Geometric Databases for Anatomy-Based Spatial Queries

为基于解剖学的空间查询构建几何数据库

• 批准号: 0743691
• 负责人: Tao Ju
• 金额: $ 78.1万
• 依托单位: Washington University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-07-15 至 2012-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0743691&HistoricalAwards=false
• 关键词: Building; Geometric; Databases; Anatomy; Based

This grant aims to develop an atlas-based database architecture suited for organizing 3D anatomical images for efficient spatial queries. Utilizing a new form of atlas, the project will develop tools for accurate and efficient alignment of 3D images collected from a large number of subjects with varying anatomical shapes. The resulting database will facilitate convenient, web-based spatial queries of functional, metabolic, mechanical, and structural data within customizable regions of interest among stored images. As a test-bed application, the project will construct two web-based databases of 3D gene expression patterns for the mouse brain and heart from stacks of 2D tissue sections.At the heart of the architecture is a new type of geometric atlas, represented as a subdivision mesh, which models the partitioning and interior of an anatomical region of interest, such as the brain. The geometric and multi-resolution structure of the atlas allows for flexible registration onto individual subjects with varying anatomical shapes, and enables fast, multi-level comparison of registered data. The tools for constructing, populating, and querying atlas-based databases will be made freely available online to be easily integrated with existing databases for augmented spatial querying capabilities.The use of biological imaging in science continues to grow, and it has thus become critical to many research efforts to be able to efficiently utilize the enormous resources of spatial information being generated. The gene expression databases resulted from the project will enable querying and clustering of genes based on similarity of 3D expression patterns, which may lead to significant breakthroughs in understanding biological processes. The long term goal of this project is to facilitate collaborative knowledge discovery across subjects, image modalities, and geographical locations.

该资助旨在开发一种基于地图集的数据库架构，适合于组织3D解剖图像以进行有效的空间查询。利用一种新形式的地图集，该项目将开发工具，用于准确有效地校准从大量具有不同解剖形状的受试者收集的3D图像。由此产生的数据库将便于在存储图像的可定制区域内对功能、代谢、机械和结构数据进行基于web的空间查询。作为一个试验台应用程序，该项目将从成堆的二维组织切片中构建两个基于网络的小鼠大脑和心脏三维基因表达模式数据库。该建筑的核心是一种新型的几何图谱，用细分网格表示，它模拟了感兴趣的解剖区域的划分和内部，比如大脑。地图集的几何和多分辨率结构允许灵活地注册到具有不同解剖形状的单个主题上，并能够快速，多层次地比较注册数据。用于构建、填充和查询基于地图集的数据库的工具将在网上免费提供，以便与现有数据库轻松集成，以增强空间查询能力。生物成像在科学中的应用不断增长，因此，能够有效利用正在生成的巨大空间信息资源对许多研究工作至关重要。该项目的基因表达数据库将使基于3D表达模式相似性的基因查询和聚类成为可能，这可能会在理解生物过程方面取得重大突破。该项目的长期目标是促进跨学科、图像模式和地理位置的协作知识发现。