2014 Project Week:MultidimensionalDataSupport

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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
  • 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
  • Next steps: proper management of node references (display node, storage node, other visible referenced nodes, other hidden referenced nodes)

Use cases

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

Implementation