Projects:LongitudinalShapeAnalysis
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Ongoing Work (Updated 8/14/12)
Analysis of Longitudinal Shape Variability
Quantification of anatomical variability within a population and between populations are fundamental tasks in medical imaging studies. In many clinical applications, it is particularly crucial to quantify anatomical variability over time in order to determine disease progression and to isolate clinically important differences in both space and time. Such studies are designed around longitudinal imaging, where we acquire repeated measurements over time of the same subject, which yields rich data for analysis. Statistical analysis of longitudinal anatomical data is a problem with significant challenges due to the difficulty in modeling anatomical changes, such as growth, and comparing changes across different populations.
Description
Results
Key Investigators
- Utah: James Fishbaugh, Marcel Prastawa, Guido Gerig
- INRIA/ICM, Pitie Salpetriere Hospital: Stanley Durrleman
- Carolina Institute for Developmental Disabilities: Joseph Piven
