应用弥散张量成像实现神经纤维追踪的方法*☆

背景：目前的神经纤维追踪方法众说纷纭，不同的追踪方法往往对数据的要求比较严格，格式比较单一，并且在特定的条件下，才能进行纤维追踪，但都没有统一可执行标准。因此需要研究一种简便通用的神经纤维追踪处理方法。目的：提出一种简便通用，并且可以在不同的数据采集方法情况下，转变为固定的数据采集格式的弥散张量神经纤维追踪方法。方法：首先采用MRIcro软件在原始DTI图像上，找出梯度因子b值，组成梯度方向文件并把DICOM原始文件软件转换成Analyze格式文件，然后利用SPM软件对格式文件标准化，最后采用DTI-track软件进行神经纤维追踪处理。结果与结论：通过对DTI图像进行处理，证明该方法能有效的得出扩散梯度因子b值文件，并且能把不同的DTI数据转变为统一的格式进行DTI处理，得到预期的DTI纤维追踪图像，为DTI研究提供了一个简便有效的具体实现方法。关键词：弥散张量成像；纤维追踪；扩散梯度因子；神经纤维；功能磁共振

Nerve fiber tracking methods using diffusion tensor imaging

BACKGROUND: There are many nerve fiber tracking methods using diffusion tensor imaging (DTI) at present. It is strict and singular of data format for different methods, and these methods can track fibers in special condition. There is no uniform standard for nerve fiber tracking. Therefore, a new brief universal method is researched for the nerve fiber tracking using DTI. OBJECTIVE: To propose a new brief universal DTI method for the nerve fiber tracking to translate into fixed data sampling format. METHODS: Firstly, the file composed of diffusion gradient factor b was searched in DTI original image and the DICOM file was translated into Analyze data format by the software MRIcro. The Analyze data format was standardized by SPM. Finally, the fiber tracking was disposed. RESULTS AND CONCLUSION: The method can acquire diffusion gradient factor b file accurately and effectively. We provided a new method for the nerve fiber tracking, which can translate the different original data into the fixed data format. Moreover, by this method, the nerve fiber tracking can be accurately acquired. And it provides a brief effective method for DTI research.