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Research Abstracts Online
January 2009 - March 2010

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University of Minnesota Twin Cities
Institute of Technology
Department of Electrical and Computer Engineering

PI: Guillermo R. Sapiro
Co-PI: Christophe Lenglet

Computational and Mathematical Techniques for Diffusion MRI Processing

In this project, the researchers are developing new mathematical and computational models for processing diffusion MRIs, a recent non-invasive technique providing connectivity information in the brain. This powerful imaging modality has opened up a landscape of exciting discoveries for medicine and neuroscience and the tools the group is developing will result in fundamental advancements for research on pathological brain degeneration such as stroke, Alzheimer’s disease, or neuropsychiatric disorders like schizophrenia. This is a challenging task that requires both advanced mathematical models and high-performance computing capabilities.