Difference between revisions of "2014 Project Week:MultidimensionalDataSupport"

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Image:PW-SLC2014.png|[[2014_Winter_Project_Week#Projects|Projects List]]
 
Image:PW-SLC2014.png|[[2014_Winter_Project_Week#Projects|Projects List]]
Image:MultidimEditor.png|Multidimensional data editor
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Image:Dce-mri-sequence.png|Multidimensional data editor (DCE-MRI sequence)
Image:MultidimBrowser.png|Multidimensional data browser
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Image:Trackedus-sequence.png|Multidimensional data browser (tracked ultrasound sequence)
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Image:Markups-sequence.png|Sequence can be created from any MRML node (markup sequence) - '''[http://screencast.com/t/yUsn0nKoYitB see video!])'''
 
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** DCE-MRI: http://screencast.com/t/Oy8InJnz9FE
 
** DCE-MRI: http://screencast.com/t/Oy8InJnz9FE
 
* Large number of time points can be loaded: tracked ultrasound sequence with 2000 time points is loaded within 15 seconds, can be replayed at 30fps - see video at http://screencast.com/t/2sJbQpWf2l
 
* Large number of time points can be loaded: tracked ultrasound sequence with 2000 time points is loaded within 15 seconds, can be replayed at 30fps - see video at http://screencast.com/t/2sJbQpWf2l
* Implementation is available: https://subversion.assembla.com/svn/slicerrt/trunk/MultidimData/src
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* Example 4D data processing module created: labelmap statistics
 
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* 4D Cardiac CT volume rendering
 
* 4D Cardiac CT volume rendering
 
* DCE-MRI review
 
* DCE-MRI review
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==Implementation==
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* Implementation is available here: https://subversion.assembla.com/svn/slicerrt/trunk/MultidimData/src

Revision as of 16:15, 10 January 2014

Home < 2014 Project Week:MultidimensionalDataSupport

Key Investigators

  • Queen's: Andras Lasso
  • BWH: Andriy Fedorov
  • Isomics: Steve Pieper
  • Kitware Jean-Christophe Fillion-Robin
  • UHN: Kevin Wang
  • Duke: James Cook

Project Description

Objective

  • Add support for node bundle sequences (e.g., time sequence, multi-parametric images, etc.)
    • All node types: not just volumes but also transforms, models, markups, and any custom nodes
    • Large data sets: up to 5000 bundles, with any number of nodes in each bundle, any size of nodes
  • Operations:
    • Import from sequence metafile (time sequence of a 2D image and multiple tool tracking data)
    • Save into scene file
    • Load from scene file
    • Browsing sequence items: automatic replay, prev/next item; ability to show multiple items at the same time
    • Modification of sequence items: add/delete, change bundle name, parameter

Approach, Plan

  • Even after extensive MRML scene optimization, handling of large data sets (more 1000+ nodes) is not feasible due to the inefficiency of MRML widgets (node selector combo boxes, scene hierarchy trees; due to each widget maintaining its own qMRMLSceneModel)
  • Plan: store one node per sequence and store each item inside that sequence node (similarly to MultiVolume, but for any node type)

Progress

Use cases

  • Tracked ultrasound image sequence review
  • Adaptive RT image sequence review
  • 4D Cardiac CT volume rendering
  • DCE-MRI review

Implementation