Department of Statistics pres.
Statistics Department Seminar Series: Jie Peng, Professor, Department of Statistics, UC Davis
"Statistical Models for Diffusion MRI Data"
In this talk, We discuss various statistical models for analyzing diffusion MRI data. These models aim to elucidate local (voxel-level) neuronal fiber organizations based on D-MRI measurements, which are in turn used as inputs in tracking algorithms to reconstruct white matter fiber tracts. We focus on their capability in resolving crossing fibers -- a major challenge in diffusion MRI data analysis, and their computational scalability. We also discuss spatial smoothing schemes that leverage information from neighboring brain voxels. These methods are applied to both synthetic experiments and to real D-MRI data from large imaging consortium.
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