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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

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