caa a22 4500 463178610 CHVBK 20180406164832.0 cr unu---uuuuu 170326e20071101xx s 000 0 eng 10.1007/s10278-007-9066-z doi (NATIONALLICENCE)springer-10.1007/s10278-007-9066-z The Open-Source Neuroimaging Research Enterprise [Elektronische Daten] [Daniel Marcus, Kevin Archie, Timothy Olsen, Mohana Ramaratnam] While brain imaging in the clinical setting is largely a practice of looking at images, research neuroimaging is a quantitative and integrative enterprise. Images are run through complex batteries of processing and analysis routines to generate numeric measures of brain characteristics. Other measures potentially related to brain function - demographics, genetics, behavioral tests, neuropsychological tests - are key components of most research studies. The canonical scanner - PACS - viewing station axis used in clinical practice is therefore inadequate for supporting neuroimaging research. Here, we model the neuroimaging research enterprise as a workflow. The principal components of the workflow include data acquisition, data archiving, data processing and analysis, and data utilization. We also describe a set of open-source applications to support each step of the workflow and the transitions between these steps. These applications include DIGITAL IMAGING AND COMMUNICATIONS IN MEDICINE viewing and storage tools, the EXTENSIBLE NEUROIMAGING ARCHIVE TOOLKIT data archiving and exploration platform, and an engine for running processing/analysis pipelines. The overall picture presented is aimed to motivate open-source developers to identify key integration and communication points for interoperating with complimentary applications. Society for Imaging Informatics in Medicine, 2007 Biomedical imaging nationallicence neuroimaging nationallicence neuroinformatics nationallicence DICOM nationallicence XNAT nationallicence research workflow nationallicence Marcus Daniel Department of Radiology, Washington University School of Medicine, 4525 Scott Ave., Campus Box 8225, 63110, St. Louis, MO, USA aut Archie Kevin Department of Radiology, Washington University School of Medicine, 4525 Scott Ave., Campus Box 8225, 63110, St. Louis, MO, USA aut Olsen Timothy Department of Radiology, Washington University School of Medicine, 4525 Scott Ave., Campus Box 8225, 63110, St. Louis, MO, USA aut Ramaratnam Mohana Department of Radiology, Washington University School of Medicine, 4525 Scott Ave., Campus Box 8225, 63110, St. Louis, MO, USA aut Journal of Digital Imaging Springer-Verlag 20(2007-11-01), 130-138 0897-1889 20<130 2007 20 10278 https://doi.org/10.1007/s10278-007-9066-z text/html Onlinezugriff via DOI 1 brief-communication jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10278-007-9066-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Marcus Daniel Department of Radiology, Washington University School of Medicine, 4525 Scott Ave., Campus Box 8225, 63110, St. Louis, MO, USA aut NATIONALLICENCE 700 1- Archie Kevin Department of Radiology, Washington University School of Medicine, 4525 Scott Ave., Campus Box 8225, 63110, St. Louis, MO, USA aut NATIONALLICENCE 700 1- Olsen Timothy Department of Radiology, Washington University School of Medicine, 4525 Scott Ave., Campus Box 8225, 63110, St. Louis, MO, USA aut NATIONALLICENCE 700 1- Ramaratnam Mohana Department of Radiology, Washington University School of Medicine, 4525 Scott Ave., Campus Box 8225, 63110, St. Louis, MO, USA aut NATIONALLICENCE 773 0- Journal of Digital Imaging Springer-Verlag 20(2007-11-01), 130-138 0897-1889 20<130 2007 20 10278 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer