Date: Mar 2nd, Thursday
Time: 3:00 pm
Place: Little 339 (the Atrium)
Speaker: Qingguo Zeng

Title:
Using Multiple Tensor Deflection to Reconstruct White Matter Fiber Traces With 
Branching

Abstract:
The relationship between brain structure and complex behavior is
governed by large-scale neurocognitive networks. Diffusion
weighted imaging(DWI) is a noninvasive technique that can
visualize the neuronal projections connecting the functional
centers and thus provides new keys to the understanding of brain
function. In this paper, we assume there are up to two diffusion
channels at each voxel. A variational framework for 3D
simultaneous smoothing and recovering of a multi-diffusion tensor
field as well as a novel multi-tensor deflection(MTEND) algorithm
for extracting white matter fiber traces based on the multi-tensor
field are provided. By applying the proposed model to both
synthetic data and human brain high angular resolution
diffusion(HARD) magnetic resonance imaging(MRI) data of several
subjects, we show the effectiveness of the model in recovering
branching fiber traces. Superiority of the proposed model over
existing models are also demonstrated.