*Bayesian Deformable Templates in Computational Anatomy: Application for Neurodegenerative Diseases and BrainClouds*

I will mention several statistical estimation problems arising in computational anatomy associated to hypothesis testing of disease type and segmentation labels, as well as template estimation. This serves to motivate much of the focus of the talk on the development of an anatomically complex “random orbit model” for the subcortical brain.

I will show results from several of the neurodegenerative illnesses including the staging of neural network change in Alzheimer’s and Huntington’s disease. Time permitting I will discuss progress with Susumu Mori on building several Brain Clouds associated to young and aging subjects.

Host: Robert F. Murphy