2011 Winter Project Week:StenosisDetector

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  Projects List

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  Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.

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  Regression of FA data; solid line represents the mean and dotted lines the standard deviation.

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Key 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 enhencement, vessel segmentation and display of stenosis.

Progress

A prototyp of the graphical user interface has been designed and implemented (see sreen short here..).

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)

1. ITK Module
2. Slicer Module
   1. Built-in
   2. Extension -- commandline
   3. Extension -- loadable
3. 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 .