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: | + | Image:Dce-mri-sequence.png|Multidimensional data editor (DCE-MRI sequence) |
| − | Image: | + | Image:Trackedus-sequence.png|Multidimensional data browser (tracked ultrasound sequence) |
| + | 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 | ||
| − | * | + | * 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== | ||
| + | * 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
Multidimensional data editor (DCE-MRI sequence)
Multidimensional data browser (tracked ultrasound sequence)
Sequence can be created from any MRML node (markup sequence) - see video!)
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
- Sequence of any kind of nodes can be stored in a multidimensional data node
- markup time sequence: http://screencast.com/t/yUsn0nKoYitB
- 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
- Example 4D data processing module created: labelmap statistics
Use cases
- Tracked ultrasound image sequence review
- Adaptive RT image sequence review
- 4D Cardiac CT volume rendering
- DCE-MRI review
Implementation
- Implementation is available here: https://subversion.assembla.com/svn/slicerrt/trunk/MultidimData/src
