SERVER ARCHITECTURE FOR ANALYSIS & VISUALIZATION OF VOLUMETRIC TIME SERIES DATA

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 匹兹堡超级计算中心与杜克大学活体显微镜中心合作，将实施基于Internet2(I2)的端到端测试床，用于4D数据集的分析、可视化和远程存储。CIVM将评估实施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，再加上使用高度交互的分析和可视化、有保证的容错操作、用户身份验证和安全的活体动物的多个/变化的数据集的需要，提出了具有挑战性的需求，这需要优化的端到端实施，这些特征与未来医疗保健和灾难响应场景的预期需求相平行。实施战略将适用于未来的需求以及远程医疗和远程诊断中的时间序列磁共振成像。与最终图形绘制的交互计算被卸载到用于用户的高效客户端程序和数据分析界面，该界面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。4D分析/可视化系统扩展并重新定位了先前工作中用于静态三维体数据集的网络导航的技术方法。

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 datasets.