Difference between revisions of "2014 Project Week:Processing Pipelines"
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We have developed simple, very lightweight software for building processing pipelines: <br /> | We have developed simple, very lightweight software for building processing pipelines: <br /> | ||
https://www.github.com/rameshvs/medical-imaging-pipelines <br /> | https://www.github.com/rameshvs/medical-imaging-pipelines <br /> | ||
| − | At the project week, we plan to finish building basic visualization of pipelines and a framework for making pipeline output easily visualizable in tools like Slicer. | + | At the project week, we plan to finish building basic visualization of pipelines and a framework for making pipeline output easily visualizable in tools like Slicer. <br /> |
| + | This system is meant to be a more lightweight alternative to existing tools such as nipype (http://nipy.org/nipype/): nipype provides a broad range of features but requires learning the intricacies of its system. Our system is meant to provide the core subset of those features, but in turn will be much simpler to learn, use, and work with. | ||
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<h3>Progress</h3> | <h3>Progress</h3> | ||
| + | * Built better visualization (see screenshot) | ||
| + | * Had many productive discussions with ideas for pipeline | ||
| + | * Started data provenance tracking system and partial script execution | ||
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Latest revision as of 16:01, 10 January 2014
Home < 2014 Project Week:Processing Pipelines
Visualization of pipeline from code
Key Investigators
- Ramesh Sridharan, Adrian Dalca, Polina Golland, MIT
Project Description
Objective
We have developed simple, very lightweight software for building processing pipelines:
https://www.github.com/rameshvs/medical-imaging-pipelines
At the project week, we plan to finish building basic visualization of pipelines and a framework for making pipeline output easily visualizable in tools like Slicer.
This system is meant to be a more lightweight alternative to existing tools such as nipype (http://nipy.org/nipype/): nipype provides a broad range of features but requires learning the intricacies of its system. Our system is meant to provide the core subset of those features, but in turn will be much simpler to learn, use, and work with.
Approach, Plan
- Implement visualization (see screenshot)
- Discuss wishlist for pipeline (come see me if you have any thoughts!)
- Discuss MRML/MRB output for visualizing results in Slicer
Progress
- Built better visualization (see screenshot)
- Had many productive discussions with ideas for pipeline
- Started data provenance tracking system and partial script execution
