Fully automated processing of fMRI data in SPM: From MRI scanner to PACS

Joseph A Maldjian, Aaron H. Baer, Robert A. Kraft, Paul J. Laurienti, Jonathan H. Burdette

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Here we describe the Wake Forest University Pipeline, a fully automated method for the processing of fMRI data using SPM. The method includes fully automated data transfer and archiving from the point of acquisition, real-time batch script generation, distributed grid processing, interface to SPM in MATLAB, error recovery and data provenance, DICOM conversion and PACS insertion. It has been used for automated processing of fMRI experiments, as well as for the clinical implementation of fMRI and spin-tag perfusion imaging. The pipeline requires no manual intervention, and can be extended to any studies requiring offline processing.

Original languageEnglish (US)
Pages (from-to)57-72
Number of pages16
JournalNeuroinformatics
Volume7
Issue number1
DOIs
StatePublished - Mar 1 2009

Keywords

  • Automated
  • Functional MRI
  • Grid processing
  • SPM

ASJC Scopus subject areas

  • Software
  • Neuroscience(all)
  • Information Systems

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