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

Fred W. Prior, Bradley J. Erickson, Lawrence Tarbox

Research output: Contribution to journalArticle

17 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)94-100
Number of pages7
JournalJournal of Digital Imaging
Volume20
Issue numberSUPPL. 1
DOIs
StatePublished - Nov 1 2007

Keywords

  • AVT
  • Digital imaging and communications in medicine (DICOM)
  • Grid computing
  • Image analysis
  • Imaging informatics
  • Open source
  • XIP
  • caBIG

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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