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SEMINARS
Statistical Models for Diffusion MRI Data (扩散磁振造影数据的统计模型 )
时间  Datetime
2019-01-18 16:00 — 17:00 
地点  Venue
Middle Lecture Room
报告人  Speaker
Jie Peng
单位  Affiliation
加州大学戴维斯分校 (UC Davis)统计系
邀请人  Host
韩东
报告摘要  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 in brain as well as many clinical  applications including Alzheimer's disease. In this talk, We discuss various statistical models for diffusion MRI data. These models are used to estimate local  neuronal fiber organizations, which are then used as inputs in tracking algorithms to reconstruct white matter fiber tracts. We will discuss  their capability in resolving crossing fibers -- a major challenge in diffusion MRI.  We will also consider spatial smoothing schemes to leverage information from neighboring brain voxels.  These methods are illustrated through both synthetic experiments and diffusion MRI data from large brain imaging  consortium.