Difference between revisions of "2011 Winter Project Week:StenosisDetector"
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==Key Investigators== | ==Key Investigators== |
Revision as of 19:30, 16 December 2010
Home < 2011 Winter Project Week:StenosisDetectorKey Investigators
- UNC: Isabelle Corouge, Casey Goodlett, Guido Gerig
- Utah: Tom Fletcher, Ross Whitaker
Objective
We are developing a stenosis detector based on VMTK in Slicer 4. The goal is to be able to visualize stenosis after a vessel segmentation.
Approach, Plan
Our approach for developing the stenosis detector is: first vessel enhancement, then vessel segmentation and display of stenosis.
Progress
A prototyp of the graphical user interface has been designed and implemented.
Delivery Mechanism
This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)
- ITK Module
- Slicer Module
- Built-in
- Extension -- commandline
- Extension -- loadable [X]
- Other (Please specify)
References
- Fletcher P, Tao R, Jeong W, Whitaker R. A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI. Inf Process Med Imaging. 2007;20:346-358. PMID: 17633712.
- Corouge I, Fletcher P, Joshi S, Gouttard S, Gerig G. Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis. Med Image Anal. 2006 Oct;10(5):786-98. PMID: 16926104.
- Corouge I, Fletcher P, Joshi S, Gilmore J, Gerig G. Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis. Int Conf Med Image Comput Comput Assist Interv. 2005;8(Pt 1):131-9. PMID: 16685838.
- Goodlett C, Corouge I, Jomier M, Gerig G, A Quantitative DTI Fiber Tract Analysis Suite, The Insight Journal, vol. ISC/NAMIC/ MICCAI Workshop on Open-Source Software, 2005, Online publication: http://hdl.handle.net/1926/39 .