SERVER ARCHITECTURE FOR ANALYSIS & VISUALIZATION OF VOLUMETRIC TIME SERIES DATA

用于分析的服务器架构

• 批准号: 7358245
• 负责人: Arthur W. Wetzel
• 金额: $ 0.51万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-07-01 至 2007-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7358245
• 关键词: SERVER; ARCHITECTURE; ANALYSIS; VISUALIZATION; VOLUMETRIC

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The Pittsburgh Supercomputing Center in collaboration with Duke Center for In Vivo Microscopy, will implement end-to-end Internet2 (I2)-based testbed for analysis, visualization, and remote storage of 4D datasets. The CIVM will evaluate utility of implementation for improving research into gene expression effects on mouse embryo development. The large data sizes used in 4D MRM studies coupled with the need to work with multiple/changing data sets from live animals, using highly interactive analysis and visualization, guaranteed fault tolerant operation, user authentication, and security-present challenging demands, which require optimized end-to-end implementation, These characteristics parallel anticipated requirements of future health care and disaster response scenarios. Implementation strategies will apply to future needs and to time series MRI in telemedicine and remote diagnosis. Interactive computation with final graphic rendering is offloaded to efficient client program for user and data analysis interface with facilities for arbitrary plane visualization, registration, user-initiated segmentation, measurement and comparison operations. A 4D analysis/ visualization system extends and retargets technical approach taken in previous work for networked navigation of static 3D volumetric data sets.

该子项目是利用NIH/NCRR资助的中心赠款提供的资源的许多研究子项目之一。子项目和研究者（PI）可能从另一个NIH来源获得主要资金，因此可以在其他CRISP条目中表示。所列机构为中心，不一定是研究者所在机构。匹兹堡超级计算中心与杜克体内显微镜中心合作，将实施端到端基于Internet 2（I2）的测试平台，用于分析、可视化和远程存储4D数据集。CIVM将评估实施对改善基因表达对小鼠胚胎发育影响的研究的效用。4D MRM研究中使用的大数据量，加上需要使用来自活动物的多个/不断变化的数据集，使用高度交互式分析和可视化，保证容错操作，用户身份验证和安全性，提出了具有挑战性的需求，这需要优化端到端的实现，这些特征与未来医疗保健和灾难响应场景的预期要求并行。实施战略将适用于未来的需求和时间序列磁共振成像在远程医疗和远程诊断。具有最终图形渲染的交互式计算被卸载到用于用户的高效客户端程序和具有用于任意平面可视化、配准、用户发起的分割、测量和比较操作的设施的数据分析接口。一个4D分析/可视化系统扩展和重新定位的技术方法，在以前的工作中采取的静态三维体数据集的网络导航。