caa a22 4500 463178556 CHVBK 20180406164832.0 cr unu---uuuuu 170326e20071101xx s 000 0 eng 10.1007/s10278-007-9061-4 doi (NATIONALLICENCE)springer-10.1007/s10278-007-9061-4 Open Source Software Projects of the caBIG™ In Vivo Imaging Workspace Software Special Interest Group [Elektronische Daten] [Fred Prior, Bradley Erickson, Lawrence Tarbox] 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. Society for Imaging Informatics in Medicine, 2007 Open source, digital imaging and communications in medicine (DICOM) nationallicence grid computing nationallicence image analysis nationallicence imaging informatics nationallicence caBIG nationallicence XIP nationallicence AVT nationallicence Prior Fred Electronic Radiology Laboratory, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA aut Erickson Bradley Department of Radiology, Mayo Clinic, Rochester, MN, USA aut Tarbox Lawrence Electronic Radiology Laboratory, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA aut Journal of Digital Imaging Springer-Verlag 20(2007-11-01), 94-100 0897-1889 20<94 2007 20 10278 https://doi.org/10.1007/s10278-007-9061-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10278-007-9061-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Prior Fred Electronic Radiology Laboratory, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA aut NATIONALLICENCE 700 1- Erickson Bradley Department of Radiology, Mayo Clinic, Rochester, MN, USA aut NATIONALLICENCE 700 1- Tarbox Lawrence Electronic Radiology Laboratory, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA aut NATIONALLICENCE 773 0- Journal of Digital Imaging Springer-Verlag 20(2007-11-01), 94-100 0897-1889 20<94 2007 20 10278 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer