STAMPS: Software Tool for Automated MRI Post-processing on a supercomputer

  • Authors:

  • Don C. Bigler;Yaman Aksu;David J. Miller;Qing X. Yang

  • Affiliations:

  • Department of Radiology, Center for NMR Research, The Pennsylvania State College of Medicine, Hershey, PA, USA and Department of Bioengineering, The Pennsylvania State University, Hershey, PA, USA;Department of Electrical Engineering, The Pennsylvania State University, University Park, PA, USA;Department of Electrical Engineering, The Pennsylvania State University, University Park, PA, USA;Department of Radiology, Center for NMR Research, The Pennsylvania State College of Medicine, Hershey, PA, USA and Department of Bioengineering, The Pennsylvania State University, Hershey, PA, USA ...

  • Venue:
  • Computer Methods and Programs in Biomedicine
  • Year:
  • 2009

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Abstract

This paper describes a Software Tool for Automated MRI Post-processing (STAMP) of multiple types of brain MRIs on a workstation and for parallel processing on a supercomputer (STAMPS). This software tool enables the automation of nonlinear registration for a large image set and for multiple MR image types. The tool uses standard brain MRI post-processing tools (such as SPM, FSL, and HAMMER) for multiple MR image types in a pipeline fashion. It also contains novel MRI post-processing features. The STAMP image outputs can be used to perform brain analysis using Statistical Parametric Mapping (SPM) or single-/multi-image modality brain analysis using Support Vector Machines (SVMs). Since STAMPS is PBS-based, the supercomputer may be a multi-node computer cluster or one of the latest multi-core computers.