Open source software projects of the caBIG™ in vivo imaging workspace software special interest group

被引:13
作者
Prior, Fred W. [1 ]
Erickson, Bradley J.
Tarbox, Lawrence
机构
[1] Washington Univ, Sch Med, Mallinckrodt Inst Radiol, Elect Radiol Lab, St Louis, MO 63130 USA
[2] Mayo Clin, Dept Radiol, Rochester, MN USA
关键词
open source; digital imaging and communications in medicine (DICOM); grid computing; image analysis; imaging informatics; caBIG; XIP; AVT;
D O I
10.1007/s10278-007-9061-4
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
The Cancer Bioinformatics Grid (caBIG (TM)) 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 (TM) In Vivo Imaging Workspace Software SIG endeavors to advance imaging informatics and provide new open-source software tools to advance cancer research.
引用
收藏
页码:94 / 100
页数:7
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