Parallel workflow tools to facilitate human brain MRI post-processing

• Published in: Frontiers in neuroscience Vol. 9; p. 171
• Main Authors: Cui, Zaixu, Zhao, Chenxi, Gong, Gaolang
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 13.05.2015; Frontiers Media S.A
• Subjects: Brain research; Computational neuroscience; Datasets; human brain; Image post-processing; Magnetic resonance imaging; Multi-modal MRI; Neuroimaging; Neuroscience; NMR; Nuclear magnetic resonance; parallelization; User interface; Workflow tools; Beijing China; human brain; image post-processing; multi-modal MRI; parallelization; workflow tools
• ISSN: 1662-453X; 1662-4548; 1662-453X
• DOI: 10.3389/fnins.2015.00171

Multi-modal magnetic resonance imaging (MRI) techniques are widely applied in human brain studies. To obtain specific brain measures of interest from MRI datasets, a number of complex image post-processing steps are typically required. Parallel workflow tools have recently been developed, concatenating individual processing steps and enabling fully automated processing of raw MRI data to obtain the final results. These workflow tools are also designed to make optimal use of available computational resources and to support the parallel processing of different subjects or of independent processing steps for a single subject. Automated, parallel MRI post-processing tools can greatly facilitate relevant brain investigations and are being increasingly applied. In this review, we briefly summarize these parallel workflow tools and discuss relevant issues.