扩散磁共振图像的神经纤维追踪算法研究综述

Review of Neural Fiber Tracking with Diffusion Magnetic Resonance Imaging

扩散磁共振成像是目前唯一非侵入性研究脑神经纤维束微结构的技术,神经纤维追踪技术是显示神经纤维的关键步骤.本文综述了两大类的神经纤维追踪算法的研究进展,即:局部型追踪方法和全局型追踪方法,阐明各个追踪算法的优点以及存在的局限性,然后在此基础上介绍了在神经纤维追踪过程中能做出优化的具体方面,包括局部纤维方向建模、张量插值、种子点的选取、传播方向以及终止准则等,最后对神经纤维追踪算法的未来发展趋势进行展望.

Diffusion magnetic resonance imaging(MRI)is the only non-invasive technique to study the microstructure of brain nerve fiber bundles.Nerve fiber tracing is a key step to display nerve fibers.This paper reviews the research progress of two kinds of neural fiber tracking algorithms,namely:Local tracking method and global tracking method,expounds the advantages of the tracking algorithm and the presence of limitations,and then on the basis of introduced in nerve fibers can make specific aspects,optimization and tracking process modeling,including local fiber direction tensor interpolation,seed point selection,the direction of propagation and termination criteria,etc.,Finally,the future development trend of neural fiber tracking algorithm is prospected.