Medical Imaging and Computational Anatomy
Overview
Due to the rapid development of imaging sensor technologies, investigators in the physical and biological sciences are now able to observe living systems and measure both their structural and functional behavior across many scales, from global, aggregate behavior to the microscopic scale of sub-cellular structure. Combining biomedical imaging science with computational modeling, we are now able to infer, noninvasively, the structural and functional properties of complex biological systems and neural circuits, for instance study the cohorts of neuropsychiatric illnesses including schizophrenia, depression, epilepsy, dementia of the Alzheimer type, and Parkinson’s.
The Neuropsychiatry of Brain Diseases: Schizophrenia, Depression, Aging
Cortical Shape and Thickness Study
Dynamic Programming Generation of Boundaries of Local Coordinatized Submanifolds of the Neocortex
Functional and Structural Mapping of the Medial Temporal Lobe
Measuring Cortical Surface Area and Thickness
Stereology In Medical Imaging
Cortical Geometry
Harmonic Phase Imaging for MR Imaging
Automatic Landmarking of Magnetic Resonance Brain Images
Statistical Testing to Identify Cortical Gray Matter Changes in Alzheimer’s Patients
Remodeling of Cardiac Geometry and Fiber Architecture
Image Metamorphoses
Computational Anatomy and Shape Mechanics
Diffeomorphic Landmark Mapping
CIS and BIRN
CIS and Supercomputing
|