融合白质功能信号的DWI纤维优化重建

Optimized White Matter Fiber Reconstruction Using Combination of Diffusion and Functional MRI

摘要:

磁共振弥散加权成像（DWI）可对大脑白质纤维束的结构连通性进行无创研究，其主要方法为DWI纤维重建. 事实上，基于DWI的结构连接常常与基于功能磁共振成像的功能连接相结合，以得到纤维重建的最优路径. 本文提出一种融合白质fMRI，将功能信息作为先验信息进行DWI纤维全局优化重建的方法，获得表征描述特定功能结构的最优纤维路径.实验结果表明，加入fMRI功能先验信息的优化方法可重建出具有功能意义的白质纤维束，较之现有的纤维重建方法具有更高的可靠性和鲁棒性.

Abstract:

Diffusion weighted MRI (DWI) is a noninvasive tool for mapping structural connectivity of white matter fiber bundles in the human brain. The main method is DWI fiber reconstruction，DWIbased structural connectivity is often combined with functional MRI (fMRI) to obtain the optimal path. In this paper, a novel white matter fiber reconstruction algorithm combining DWI and fMRI is proposed, which obtains the optimal fiber path that characterizes the specific functional structure using functional signal as a prior information for global optimization of DWI fiber. The experimental results show that the proposed method can be used to reconstruct the functional white matter fiber bundle which is more reliable and robust than the existing fiber reconstruction method.