Date: Mar 6th, Tuesday
Time: 3:00 pm
Place: Little 339 (the Atrium)
Speaker: Bing Jian

Title:  A continuous mixture of tensors model for diffusion-weighted MR signal
reconstruction
　

Abstract: Diffusion MRI is a non-invasive imaging technique that allows the
measurement of water molecular diffusion through tissue in
vivo. We present a novel statistical model which
describes the diffusion-attenuated MR signal by the Laplace
transform of a probability distribution over symmetric positive
definite matrices. Using this new model, we analytically derive a
Rigaut-type asymptotic fractal law for the MR signal decay which has
been phenomenologically used before. We also develop an efficient
scheme for reconstructing the multiple fiber bundles from the DW-MRI
measurements. Experimental results on both synthetic and real data
sets are presented to show the robustness and accuracy of the
proposed algorithms.
　

The pizza and drinks will be provided after the talk.