View source for Explore integration of Web-based imaging workflows with Slicer


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Image:PW-Winter2017.png|link=2017_Winter_Project_Week#Projects|[[2017_Winter_Project_Week#Projects|Projects List]]
Image:Slicer connected workflow.png | Workflow to read from SlicerWeb with downstream processing
Image:Outimage.png|Image as received from SlicerWeb
Image:Rotated and blurred.png | Result after running workflow
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</gallery>

==Key Investigators==
* Curt Lisle, KnowledgeVis, LLC

==Project Description==
{| class="wikitable"
! style="text-align: left; width:27%" |   Objective
! style="text-align: left; width:27%" |   Approach and Plan
! style="text-align: left; width:27%" |   Progress and Next Steps
|- style="vertical-align:top;"
|
<!-- Objective bullet points -->
* Explore how Slicer can interact with an existing web-based, open-source workflow system (Flow, developed by Kitware and KnowledgeVis, LLC)
* Exchange data between 3D Slicer and the Flow workflow system
|
<!-- Approach and Plan bullet points -->
* Load a MRML scene into Slicer and read images into Flow by accessing through Slicer's RestAPI
* Use Steve's (work in progress) SlicerWeb Extension to respond to REST requests from Flow
* Connect with Girder-breakout team to discuss data sharing between systems (Slicer, Girder, Flow, etc.)
* (after project week), expand to work for whole NRRD image that comes from the REST API.
|
<!-- Progress and Next steps bullet points (fill out at the end of project week) -->
* Hosted Slicer locally and was able to reach the REST API, extracting 
* Retrieved a 2D Slice from Slicer and automatically ran it through a small workflow
* Next step would be to retrieve named volumes as 3D NRRD format from the SlicerWeb
* Productive discussions were conducted with the NiPype team regarding how to utilize the Flow engine as an interface for NiPype-executed computation 
|}

==Background and References==
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The Flow source code is available here: https://github.com/Kitware/flow