The Human Body Atlas: High-Resolution, Functional Mapping of Voxel, Vector, and Meta Datasets

人体图谱：体素、矢量和元数据集的高分辨率功能映射

• 批准号: 9988039
• 负责人: KATY BORNER
• 金额: $ 4.95万
• 依托单位: TRUSTEES OF INDIANA UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-21 至 2020-06-20
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9988039
• 关键词: Address; Anatomy; Artificial Intelligence; Atlases; Biometry; Cataloging; Catalogs; Cells; Classification; Clinical; Code; Communication; Communities; Computer Simulation; Computer software; Data; Data Set; Ecosystem; Educational workshop; Effectiveness; Endocrine system; Future; Genetic; Goals; Human; Human body; Image; Imagery; Individual; Infrastructure; Investigation; Knowledge; Machine Learning; Maps; Mathematical Biology; Metadata; Methods; Modeling; Molecular; Ontology; Organ; Participant; Physiological; Physiology; Positioning Attribute; Production; Publications; Resolution; Resources; Running; Services; System; Tissues; Update; Vascular System; Visual; Visualization software; Work; base; cell type; computing resources; data integration; data mining; data visualization; design; hackathon; human imaging; interoperability; member; systematic review; usability; vector

Project Summary/Abstract The ultimate goal of the HIVE Mapping effort is to develop a common coordinate framework (CCF) for the healthy human body that supports the cataloguing of different types of individual cells, understanding the func- tion and relationships between those cell types, and modeling their individual and collective function. In order to exploit human and machine intelligence, different visual interfaces will be implemented that use the CCF in support of data exploration and communication. The proposed effort combines decades of expertise in data and network visualization, scientific visualization, mathematical biology, and biomedical data standards to develop a highly accurate and extensible multidimen- sional spatial basemap of the human body and associated data overlays that can be interactively explored online as an atlas of tissue maps. To implement this functionality, we will develop methods to map and connect metadata, pixel/voxel data, and extracted vector data, allowing users to “navigate” across the human body along multiple functional contexts (e.g., systems physiology, vascular, or endocrine systems), and connect and integrate further computational, analytical, visualization, and biometric resources as driven by the context or “position” on the map. The CCF and the interactive data visualizations will be multi-level and multi-scale sup- porting the exploration and communication of tissue and publication data--from single cell to whole body. In the first year, the proposed Mapping Component will run user needs analyses, compile an initial CCF using pre-existing classifications and ontologies; implement two interactive data visualizations; and evaluate the usa- bility and effectiveness of the CCF and associated visualizations in formal user studies.

项目摘要/摘要 Hive映射工作的最终目标是为该架构开发一个共同的坐标框架（CCF） 健康的人体支持不同类型的单个细胞分类的人体，了解功能 这些细胞类型之间的关系和关系，并建模其个人和集体功能。为了 为了利用人类和机器智能，将实现使用CCF的不同视觉接​​口 支持数据探索和通信。 拟议的努力结合了数十年的数据和网络可视化，科学可视化， 数学生物学和生物医学数据标准，以发展高度准确且可扩展 人体的驻空间基础和相关数据叠加层可以交互性探索 在线作为组织地图的地图集。为了实现此功能，我们将开发用于映射和连接的方法 元数据，像素/体素数据和提取的矢量数据，使用户可以在人体上“导航” 沿多种功能环境（例如系统生理学，血管或内分泌系统），并连接和连接 由上下文或 地图上的“位置”。 CCF和交互式数据可视化将是多级和多尺度的SUP- 将组织和出版物数据的探索和通信移植到整个身体。 在第一年，提议的映射组件将运行用户需要分析，使用初始CCF使用 先前存在的分类和本体论；实施两个交互式数据可视化；并评估美国 - 在正式用户研究中，CCF和相关可视化的能力和有效性。