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.
infinitesimal drift diffeomorphometry models for population shape analysis
This work discusses time dependent models of shape changes to study neurodegeneration.
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.
Diffeomorphic Upsampling of Serially Acquired Sparse 2D Cross-Sections in Cardiac MRI
We design diffeomorphic techniques to estimate unobserved data between sparsely sampled slices in cardiac MRI.
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.