The Seminar Series Presents
"Estimating Neuronal Fiber Organizations from Diffusion MRI"
Abstract: Diffusion MRI is an in vivo and non invasive imaging technology that uses water diffusion as a proxy to probe architecture of biological tissues. Diffusion MRI has been widely used in white matter fiber tracts reconstruction as well as many clinical applications.
In this talk, We discuss various models for estimating local (voxel-wise) neuronal fiber organizations which are then used as inputs in tracking algorithms to reconstruct fiber tracts. We focus on their capability to resolve crossing fibers -- a major challenge in diffusion MRI. We also consider spatial smoothing schemes to leverage information from neighboring voxels. These methods are illustrated through both synthetic experiments and diffusion MRI data from large brain imaging consortium.
Jie Peng, Professor, Department of Statistics, University of California, Davis
Education: PhD Statistics, Stanford University, 2004
Research area: high dimensional inference, graphical models, functional data analysis, neuroimaging, statistics genomics
Location and Address
University of Pittsburgh
1811 Wesley W. Posvar Hall
230 South Bouquet St.
Pittsburgh, PA 15260