IMAGE COMPUTING, ANALYSIS AND REPOSITORY

项目总结（见说明）： 图像计算、分析和存储库设施，或ICAR（前科学图像重建和分析设施或SIRAF的扩展）为芝加哥大学综合癌症中心（UCCCC）的研究人员提供计算基础设施、图像分析软件、专家咨询、图像存档和图像分析服务。核心的计算设施包括 这是一个拥有近300个CPU内核和48 TB数据存储的集群，用于与图像重建、分析和可视化相关的高强度计算。该设施的目的是提供远高于个人研究员工作站的能力，同时也允许交互式响应，3e和快速周转，缺乏更大规模设施的功能，如大学计算研究所的Beagle高性能计算机。核心的计算设施被翻译研究人员大量用于开发癌症诊断，治疗和评估的成像技术。 ICAR设施的图像分析使命是让研究人员，其重点不是成像本身，而是与癌症有关的，最大限度地利用现有的成像模式-提供所需的任何级别的图像分析专业知识-无论是简单的咨询和建议，共同开发新的分析软件，供希望自己进行处理的研究人员使用，或交钥匙端到端分析和交付结果的研究人员谁喜欢查看成像作为一个

PROJECT SUMMARY (See instructions): The Image Computing, Analysis and Repository Facility, or ICAR (an expansion of the former Scientific Image Reconstruction and Analysis Facility or SIRAF) provides computing infrastructure, image analysis software, expert consultation, image-archiving and image analysis services to researchers across the University of Chicago Comprehensive Cancer Center (UCCCC). The Core's computing facilities include a cluster with nearly 300 CPU cores and 48 TB of data storage, used for high-intensity computation associated with image reconstruction, analysis and visualization. The intention of this Facility is to provide capability far above that available from an individual investigator¿s workstation, while also allowing interactive respon,3e and quick turnaround, features lacking from larger scale facilities such as the Beagle high performance computer in the University's Computation Institute. The Core's computing facilities are heavily used by translational researchers in development of imaging techniques for cancer diagnosis, treatment and assessment. The image analysis mission of the ICAR Facility is to allow researchers, whose focus is not imaging per se, but cancer-related, to take maximum advantage of the available imaging modalities - supplying expertise in image analysis at whatever level is required - whether simple consultation and recommendation, shared development of new analysis software for use by researchers who wish to do their own processing, or turnkey end-to-end analysis and delivery of results for researchers who prefer to view imaging as a