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 = | ||
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 03:27, 12 April 2011
Home < Projects:Utah2ShapeRegressionBack to Utah 2 Algorithms
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.
