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.
