Difference between revisions of "Projects:Utah2ShapeRegression"

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= Smooth Growth Trajectories from Time Series Shape Data =
 
= Smooth Growth Trajectories from Time Series Shape Data =
 
Back to [[NA-MIC_Internal_Collaborations:DiffusionImageAnalysis|NA-MIC Collaborations]], [[Algorithm:Utah2|Utah2 Algorithms]], [[Algorithm:MIT|MIT Algorithms]], [[Algorithm:UNC|UNC Algorithms]]
 
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Segmentation of multi-time point image data of individual subjects results in serial shape data of structures of interest. Clinical research is interested in the spatiotemporal analysis of shape changes, which potentially leads to improved understanding of the rate of change, locality and growth trajectory of structures of interest.
 
Segmentation of multi-time point image data of individual subjects results in serial shape data of structures of interest. Clinical research is interested in the spatiotemporal analysis of shape changes, which potentially leads to improved understanding of the rate of change, locality and growth trajectory of structures of interest.

Revision as of 03:25, 12 April 2011

Home < Projects:Utah2ShapeRegression

Smooth Growth Trajectories from Time Series Shape Data

Segmentation of multi-time point image data of individual subjects results in serial shape data of structures of interest. Clinical research is interested in the spatiotemporal analysis of shape changes, which potentially leads to improved understanding of the rate of change, locality and growth trajectory of structures of interest.