TubeTK/Events/2010.11.02

Romain

• Implementation on the ComputeTortuosity module (only Distance Metric) ---->OK!!
  • With input data = Branch-truth.tre (from tubetk/Data)
    • With mask covering the whole tube (Branch.n010.mha):
      • Distance Metric Tortuosity for tube section 0 - 999 is 0.0524638
      • Distance Metric Tortuosity for tube section 0 - 499 is 0.0656099
    • With other mask (Branch.n010.sub.mha) not covering the whole scene
      • Distance Metric Tortuosity for tube section 0 - 399 is 0.0811677
• Future
  • tortuosity: documentation, tests, checkin
  • Grassroots data visualization
  • Conference website
  • CLANG errors in metaImage

• GRASSROOT
  • https://www.kitware.com/KWWiki/index.php/Medical_Imaging/Grassroots
  • clsm-automation

• • re-sample

Stephen

• TubeSpatialObject
  • Bug in ComputeTangentAndNormals
  • Therefore, Tube/Base/Segmentation/VTree/tubeMath.h
  • Pursue refactoring of itk's SpatialObject classes
  • Time? Funding?
• RadiusEstimation
  • Refactoring complete, bugs remain, tests being added
• Slicer integration
  • Next Priority
• USC
  • Funding becoming active
  • Urgent need for unsupervised method
• Grassroots
  • Received data
  • Romain to view in Slicer and send visualization to Danielle and Stephen
  • NDA signed
  • Meeting next week
• UCLA/TBI
  • Received data (can't find it)
  • Visualizations needed (Danielle)
• BWH US Machine in Eternia

Danielle

• Successfully registered XCAT images:

• Anisotropic gives much better motion field
• Gaussian does a bit of a better job than anisotropic
• Currently doing last validations = mutual overlap / Haussdorf distance between surfaces (with Valmet)
• Small questions:
  • Max filename size in ITK?
  • Valmet only in Windows...
• Next priorities: TubeTK dashboard, some code cleanup, register CT data, then implement improvements from Marc's suggestions + discussion with Stephen on Friday (coarse to fine, normals as matrices to handle corners)
• To think about: MICCAI 2011 (submission of full papers = March 11)