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Research Abstracts Online
January 2010 - March 2011

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University of Minnesota Twin Cities
College of Science and Engineering
Department of Electrical and Computer Engineering

PI: Guillermo R. Sapiro, Associate Fellow

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.

Group Members

Christophe Lenglet, Co-Principal Investigator
Iman Aganj, Graduate Student
Leah Bar, Research Associate
Alexey Castrodad, Graduate Student
Julio Duarte, Research Associate
Federico Lecumberry, Graduate Student
Mona Mahmoudi, Graduate Student
Ignacio Ramirez, Graduate Student
Pablo G. Sprechmann, Graduate Student
Guoshen Yu, Graduate Student