Literature DB >> 25988229

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

Robert L Harrigan1, Benjamin C Yvernault2, Brian D Boyd3, Stephen M Damon2, Kyla David Gibney4, Benjamin N Conrad5, Nicholas S Phillips5, Baxter P Rogers6, Yurui Gao7, Bennett A Landman8.   

Abstract

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.

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Year:  2015        PMID： 25988229      PMCID： PMC4646735          DOI： 10.1016/j.neuroimage.2015.05.021

Source DB:  PubMed          Journal:  Neuroimage        ISSN： 1053-8119            Impact factor:   6.556


  25 in total

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Authors:  Daniel S Marcus; Timothy R Olsen; Mohana Ramaratnam; Randy L Buckner
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3.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

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Review 9.  FSL.

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  17 in total

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6.  The Vanderbilt Memory & Aging Project: Study Design and Baseline Cohort Overview.

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