On the Behrens-Fisher Problem for Functional Data

Abstract

Emerging with advanced imaging techniques, Computational Functional Anatomy (CFA) is a new discipline in the medical imaging research to identify imaging markers associated with a specific disease and explore their relationships with clinical assessments as well as genetic and environmental factors. To achieve this, CFA mathematically models anatomical configurations and signals associated with anatomy and functions of a specific organ in anatomical coordinates in multi-modal images. We will focus on two topics in this talk: 1) characterizing brain shape variation; 2) tracking within-subject brain shape changes in serial images.