Difference between revisions of "2012 Project Week:BatchProcessing"

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Various DBP projects and other users have requested the ability to automate large tasks and interoperate with other image analysis tools.  Nipype is a solution that is proving useful in this domain so we would like to further refine it as an option to the na-mic community.
  
 
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Revision as of 15:01, 2 December 2011

Home < 2012 Project Week:BatchProcessing

Key Investigators

  • MIT: Satra Ghosh
  • Iowa: Hans Johnson
  • Kitware: Jean-Christophe Fillion-Robin
  • BWH: Andrey Fedorov
  • Isomics: Steve Pieper

Various DBP projects and other users have requested the ability to automate large tasks and interoperate with other image analysis tools. Nipype is a solution that is proving useful in this domain so we would like to further refine it as an option to the na-mic community.

Objective

Batch processing with Slicer and Nipype

Approach, Plan

  • Work on HD use cases to improve batch processing framework
  • Develop example workflows as templates for other projects
  • Identify and if possible fix any issues that prevent smooth integration of slicer modules into batch workflows.

Progress


Delivery Mechanism

Possibly nipype as an extension.


Notes