Distribution modeling

• 

  Projects List

Key Investigators

Anuja Sharma, Guido Gerig

Project Description

Objective

• Model probability distributions along DTI fiber tracts instead of scalar summary measurements to create a tract profile (e.g. cross-sectional averages).
• Our spatiotemporal modeling method utilizes these distribution-valued data to create growth trajectories such that the complete probability distribution is estimated continuously in space and time.
• Create a spatiotemporal growth trajectory for the healthy infant population. Evaluate our method's ability to detect clinical differences in infants with Krabbe's disease when compared with the control population.

Approach, Plan

Progress