Difference between revisions of "2016 Winter Project Week/Projects/Interactive4DSegmentation"

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Image:PW-MIT2016.png|link=2016_Winter_Project_Week#Projects|[[2016_Winter_Project_Week#Projects|Projects List]]
 
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Image:Interactive4DSegmentation.png|concept
 
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<!-- Objective bullet points -->
 
<!-- Objective bullet points -->
 
* Create a Slicer extension to support interactive 4-D segmentation.
 
* Create a Slicer extension to support interactive 4-D segmentation.
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* Load and view longitudinal and multi-modal image data.
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* '''Load and view longitudinal and multi-modal image data.'''
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* Incorporate registration information in image views.
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* '''Incorporate registration information in image views.'''
 
* (if time) Maximize real estate for image views, possibly allowing for dual-screen views
 
* (if time) Maximize real estate for image views, possibly allowing for dual-screen views
 
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<!-- Add a bulleted list of key points -->
 
<!-- Add a bulleted list of key points -->
 
* Design module with custom view layout that is intuitive for 4-D segmentation of objects imaged in multiple volumes.
 
* Design module with custom view layout that is intuitive for 4-D segmentation of objects imaged in multiple volumes.
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* Incorporate current Editor Effects into module
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* '''Incorporate current Editor Effects into module'''
 
* Investigate how to show cursor on all views, taking into account registration information
 
* Investigate how to show cursor on all views, taking into account registration information
 
* Develop simple way to load and view data (MRML or MRB).
 
* Develop simple way to load and view data (MRML or MRB).
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<!-- Fill this out at the end of Project Week; describe what you did this week and what you plan to do next -->
 
<!-- Fill this out at the end of Project Week; describe what you did this week and what you plan to do next -->
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* [https://github.com/ejulrich/Slicer-Interactive4DSegmentation github repo]
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* [https://github.com/ejulrich/Slicer-Interactive4DSegmentation github repo] (will likely change)
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* Next Steps:
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* Spoke with Andras Lasso about Slicer Sequences
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** investigate data preprocessor from mpReview
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** work great for handling multiple images/transforms/labels
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** design UI
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** spent time learning about Sequence nodes
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* '''Next Steps:'''
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** investigate preprocessing data as Sequence
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** continue learning from mpReview module about annotating multi-modal data
 
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==Background and References==
 
==Background and References==
 
<!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data -->
 
<!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data -->
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* [http://www.slicer.org/slicerWiki/index.php/Documentation/Nightly/Extensions/mpReview Multiparametric Image Review]
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* [https://www.slicer.org/wiki/Documentation/Nightly/Extensions/mpReview Multiparametric Image Review]
 
*[https://github.com/SlicerRt/Sequences Sequences]
 
*[https://github.com/SlicerRt/Sequences Sequences]

Latest revision as of 17:37, 10 July 2017

Home < 2016 Winter Project Week < Projects < Interactive4DSegmentation

Key Investigators

  • Ethan Ulrich (University of Iowa)
  • Andrey Fedorov, BWH

Project Description

Objective Approach and Plan Progress and Next Steps
  • Create a Slicer extension to support interactive 4-D segmentation.
  • Load and view longitudinal and multi-modal image data.
  • Incorporate registration information in image views.
  • (if time) Maximize real estate for image views, possibly allowing for dual-screen views
  • Design module with custom view layout that is intuitive for 4-D segmentation of objects imaged in multiple volumes.
  • Incorporate current Editor Effects into module
  • Investigate how to show cursor on all views, taking into account registration information
  • Develop simple way to load and view data (MRML or MRB).
  • (if time) Explore Qt methods for extending to dual screen.
  • github repo (will likely change)
  • Spoke with Andras Lasso about Slicer Sequences
    • work great for handling multiple images/transforms/labels
    • spent time learning about Sequence nodes
  • Next Steps:
    • investigate preprocessing data as Sequence
    • continue learning from mpReview module about annotating multi-modal data

Background and References

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