Difference between revisions of "2011 Summer Project Week long shape regression"
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| + | [[File:Sub_cort_evolution_sigmaV_10_sigmaW_10_gammaR_0p1.gif|300px|thumb|center| Isolated view of the cerebellum from the same regression as the previous image, shown from the front, below, and the back of the brain. Color denotes magnitude of velocity. The parameters used were sigmaV = 10, sigmaW = 10 and gamma = 0.1. [[Media:Sub_cort_evolution_sigmaV_10_sigmaW_10_gammaR_0p1.gif.gif|Click here for full size.]]]] | ||
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Revision as of 01:08, 24 June 2011
Home < 2011 Summer Project Week long shape regression
12 sub-cortical shapes
Longitudinal Shape Regression - Huntington's Disease
Key Investigators
- Utah: James Fishbaugh, Marcel Prastawa, Guido Gerig
- Iowa: Hans Johnson
Objective
To begin processing longitudinal Huntington's disease data and to apply our shape regression framework to available data. We are interested in the evolution of sub-cortical structures in the brain.
We would like to estimate continuous growth scenarios for several shapes of interest, which can eventually be combined with a framework for 4D registration or 4D atlas construction, to statistically analyze the growth variability within a population.
Approach, Plan
- Segment sub-cortical structures
- Estimate growth trajectories
Progress
Isolated view of the cerebellum from the same regression as the previous image, shown from the front, below, and the back of the brain. Color denotes magnitude of velocity. The parameters used were sigmaV = 10, sigmaW = 10 and gamma = 0.1. Click here for full size.
References
Fishbaugh, J., Durrleman, S., Gerig, G. "Estimation of Smooth Growth Trajectories With Controlled Acceleration From Time Series Shape Data". MICCAI 2011. To appear.
