Prior Fred W, Erickson Bradley J, Tarbox Lawrence
Electronic Radiology Laboratory, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
J Digit Imaging. 2007 Nov;20 Suppl 1(Suppl 1):94-100. doi: 10.1007/s10278-007-9061-4. Epub 2007 Sep 11.
The Cancer Bioinformatics Grid (caBIG) program was created by the National Cancer Institute to facilitate sharing of IT infrastructure, data, and applications among the National Cancer Institute-sponsored cancer research centers. The program was launched in February 2004 and now links more than 50 cancer centers. In April 2005, the In Vivo Imaging Workspace was added to promote the use of imaging in cancer clinical trials. At the inaugural meeting, four special interest groups (SIGs) were established. The Software SIG was charged with identifying projects that focus on open-source software for image visualization and analysis. To date, two projects have been defined by the Software SIG. The eXtensible Imaging Platform project has produced a rapid application development environment that researchers may use to create targeted workflows customized for specific research projects. The Algorithm Validation Tools project will provide a set of tools and data structures that will be used to capture measurement information and associated needed to allow a gold standard to be defined for the given database against which change analysis algorithms can be tested. Through these and future efforts, the caBIG In Vivo Imaging Workspace Software SIG endeavors to advance imaging informatics and provide new open-source software tools to advance cancer research.
癌症生物信息学网格(caBIG)计划由美国国立癌症研究所创建,旨在促进国立癌症研究所资助的癌症研究中心之间的信息技术基础设施、数据和应用程序的共享。该计划于2004年2月启动,目前连接了50多个癌症中心。2005年4月,增加了体内成像工作区,以促进成像在癌症临床试验中的应用。在成立大会上,设立了四个特别兴趣小组(SIG)。软件SIG负责确定专注于用于图像可视化和分析的开源软件的项目。迄今为止,软件SIG已经确定了两个项目。可扩展成像平台项目已经创建了一个快速应用程序开发环境,研究人员可以使用该环境创建针对特定研究项目定制的目标工作流程。算法验证工具项目将提供一组工具和数据结构,用于捕获测量信息以及相关信息,以便为给定数据库定义黄金标准,据此可以测试变化分析算法。通过这些以及未来的努力,caBIG体内成像工作区软件SIG致力于推进成像信息学,并提供新的开源软件工具来推动癌症研究。