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目的为构建脑结构连接网络,本文提出一种基于Q空间球面成像(Q-ball imaging,QBI)技术的扩展多向流线跟踪算法,并根据纤维束路径走向构建脑结构连接矩阵。方法首先,根据磁共振图像进行脑组织分割,之后与标准模板对比完成灰质功能区域划分和标记;然后,采用球面插补计算取向分布函数(orientation diffusion function,ODF),进而根据扩展多向流线算法进行路径跟踪。最终根据跟踪出的纤维束数量及其路径所处功能区来构建结构连接矩阵。结果以真实脑数据为对象进行跟踪,生成连接矩阵,并进行连接通路分析。结论所得结果符合脑生理结构实际情况,适合于构建结构连接网络,为研究脑连接提供了一种新途径。
Objective To construct brain structure connection network, an extended multi-directional flow tracking algorithm based on Q-ball imaging (QBI) technique is proposed in this paper. The brain structure connection matrix is constructed according to the fiber bundle path. Methods Firstly, the brain tissues were divided according to the magnetic resonance images, then the gray matter functional regions were divided and labeled with standard templates. Then, the orientation diffusion function (ODF) was calculated by spherical interpolation. Then, Algorithm for path tracking. Finally, the structural connection matrix is constructed based on the number of fiber bundles tracked and the functional area of the path. The results were tracked with real brain data to generate the connection matrix and the connection path analysis. Conclusion The results are in line with the actual situation of brain physiology structure, suitable for constructing structural connection network, providing a new way for the study of brain connection.