Difference between revisions of "2011 Winter Project Week:TubeTK VascularImageSegmentationAndAnalysis"
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Revision as of 16:49, 6 January 2011
Home < 2011 Winter Project Week:TubeTK VascularImageSegmentationAndAnalysis
Key Investigators
- Kitware: Stephen Aylward, Danielle Pace
- SPL: Steve Pieper
- Luca Antiga, Daniel Haehn
Objective
TubeTK is a new open-source toolkit that hosts algorithms for applications involving images of tubes.
Two driving applications:
- Surgical guidance: registering pre-operative vascular models with intra-operative images (e.g., ultrasound)
- Characterizing vascular patters: using graph theory to distinguish clinical populations based on vascular patterns (e.g., benign -vs- malignant tumors via tortuosity)
Approach, Plan
- Python module in Slicer 4 for centerline and radius estimation of vasculature in brain MRA
- Workflow: brain envelop segmentation, seeding, extraction
- Integration with VMTK
Progress
Delivery Mechanism
This work will be delivered to the NA-MIC Kit as follows:
- All software written during the project week will be contributed to TubeTK, and algorithms will be incorporated into 3D Slicer as CLI applications.
