Vanderbilt University Institute of Imaging Science Center for Computational Imaging XNAT: A multimodal data archive and processing environment.

Harrigan RL, Yvernault BC, Boyd BD, Damon SM, Gibney KD, Conrad BN, Phillips NS, Rogers BP, Gao Y, Landman BA
Neuroimage. 2016 124 (Pt B): 1097-1101

PMID: 25988229 · PMCID: PMC4646735 · DOI:10.1016/j.neuroimage.2015.05.021

The Vanderbilt University Institute for Imaging Science (VUIIS) Center for Computational Imaging (CCI) has developed a database built on XNAT housing over a quarter of a million scans. The database provides framework for (1) rapid prototyping, (2) large scale batch processing of images and (3) scalable project management. The system uses the web-based interfaces of XNAT and REDCap to allow for graphical interaction. A python middleware layer, the Distributed Automation for XNAT (DAX) package, distributes computation across the Vanderbilt Advanced Computing Center for Research and Education high performance computing center. All software are made available in open source for use in combining portable batch scripting (PBS) grids and XNAT servers.

Copyright © 2015 Elsevier Inc. All rights reserved.

MeSH Terms (9)

Access to Information Databases, Factual Electronic Data Processing Humans Information Dissemination Multimodal Imaging Neuroimaging Quality Control Software

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