ImageJ expects the image files to be 32-bit 4dfp stacks (typically with the .4dfp.img extension). It also expects to find corresponding header files (with the .ifh extension). FIV can handle images that have been transformed into 111, 222, or 333 space. The coordinates displayed in the toolbar panel and popup windows will adjust automatically to the appropriate voxel size as long as the header files are available. If the header files are missing or corrupt, FIV will attempt to determine an appropriate voxel size from the file name and file size, but there’s no guarantee that the resulting coordinates and image display will be correct.
XNAT was originally developed as an “extensible neuroimaging archive toolkit,” and has evolved to become a powerhouse open-source platform for … [More]
In August 2010, the NIH awarded $30 million dollars to a consortium of institutions led by Washington University in Saint … [More]
The Clinical Trials Section (CTS) at NRG was set up to meet the uniquely demanding needs of clinical trial research. … [More]
NRG participates in multiple data-sharing projects, whose goals are to provide anonymized data sets that will be valuable to the … [More]
The Neuroimaging Informatics and Analysis Center (NIAC) provides a variety of services to Washington University’s neuroscience community, including data management, … [More]
The Central Neuroimaging Data Archive, established in 2004, is the NRG’s flagship installation of XNAT, and supports multiple active research … [More]
The Comprehensive Neuro-Oncology Data Repository (or “CONDR”) is a project to develop advanced imaging biomarkers, and an informatics platform to … [More]