脑部高分辨率扩散张量成像研究进展

Advancements of high-resolution diffusion tensor imaging of brain

扩散张量成像(DTI)通过活体组织中水分子的扩散运动描述组织结构变化,基于该技术的脑白质纤维追踪技术能够无创、清晰显示脑神经纤维的解剖结构,对于诊断和治疗脑部疾病具有重要价值。扩散张量模型基于高斯分布假设,在纤维交叉区域无法指明纤维方向,为此提出了高分辨率DTI。本文对基于高分辨率DTI的神经纤维追踪技术的研究进展进行综述。

Diffusion tensor imaging(DTI)is an imaging method that can be used to describe changes of tissue structure through the diffusion of water molecules in living tissue.Fiber tracking based on DTI can display the anatomic structure of cerebral nerve fibers noninvasively and clearly,which is of great value for diagnosis and treatment of brain diseases.However,due to the Gaussian hypothesis of the diffusion tensor model,it is difficult to indicate fiber directions in fiber crossing region.A high-resolution DTI method was proposed to estimate the direction distribution of multiple fibers.The research advancements of fiber tracking based on high-resolution DTI were reviewed in this article.