扩散张量成像的人脑模板构建

扩散张量脑模板包含丰富的大脑白质组织信息，在空间标准化或者脑图谱创建中具有重要价值，然而基于扩散张量模型构建的脑模板精度不高，特别是在脑部复杂的神经元微观结构区域中应用受到限制.针对这一问题，研究者们提出了基于高分辨率扩散成像构建大脑模板的方法.本文对使用扩散张量成像方法进行脑模板构建的研究进展进行了综述，首先介绍了扩散张量脑模板构建的发展进程，阐述了脑模板构建中解决的技术问题及同时存在的局限性；接着详细论述了基于扩散频谱成像及高角度分辨率扩散成像构建脑模板的不同方法间的差异，并总结了这些研究方法取得的重要进展；最后通过分析目前研究进展提出该研究问题中存在的不足以及未来的发展趋势.

Construction of Human Brain Templates with Diffusion Tensor Imaging Data: A Review

Diffusion-weighted magnetic resonance images contain rich information on brain white matter (WM), and have been used to construct brain templates/atlases. However, the accuracy of brain templates reconstructed with the diffusion tensor model is often limited in regions with complex WM configurations. To overcome this problem, high angular resolution diffusion imaging acquisition and reconstruction have been developed for building higher quality brain template. In this paper, the research progresses on the construction of brain template using diffusion tensor imaging (DTI) are reviewed. Firstly, the technical aspects and limitations in using DTI data to build brain templates were discussed. Secondly, diffusion spectrum imaging and high angular resolution diffusion imaging techniques were introduced, with their advantages over the DTI techniques explained. Finally, the existing problems and the perspectives of the field were discussed.