A 7 Tesla Amygdalar-Hippocampal Shape Analysis of Lithium Response in Bipolar Disorder

This work examines the effect of lithium treatment in bipolar disorder on the structure of the hippocampus and amygdala.

CloudReg: Automatic Terabyte-Scale Cross-Modal Brain Volume Registration

Cloud based processing, atlas mapping, and visualization of massive neuroimages for multiple species and modalities.

Entorhinal and transentorhinal atrophy in preclinical Alzheimer's disease

This work discusses atrophy in the medial temporal lobe during the progression of early Alzheimer's disease.

Vestibular function and cortical and sub-cortical alterations in an aging population

This work discusses the association between visbular function (measured through cervical vestibular-evoked myogenic potential) and brain structures of interest using imaging data from the Baltimore Longitudinal Study of Aging.

Coarse-to-Fine Hamiltonian Dynamics of Hierarchical Flows in Computational Anatomy

We developed optimal control formulations for parameterizing deformations and features described at multiple scales. This work is contributing to brain atlasing initatives for microscopy images.

3D printing hippocampi to depict atrophy-related Alzheimer's biomarkers

This work discusses the challenges of 3D printing hippocampi from annotated post mortem MRI. This work will help visualize subtle changes to complex anatomy during the disease.

Solving the where problem in neuroanatomy: a generative framework with learned mappings to register multimodal, incomplete data into a reference brain

We developed a generative algorithm for registration of micron resolution serial section microscopy images to the Allen reference atlas.

Estimating diffeomorphic mappings between templates and noisy data: Variance bounds on the estimated canonical volume form

We derived the Cramer Rau bound for estimating volume changes from deformable image registration, which is a lower bound on the variance of an estimator. We demonstrated its implications for image registration performance in asymmetric methods versus symmetric methods, the former generally performing better.