Abstract
Tractography based on diffusion weighted imaging (DWI) is one of the tools for mapping the white matter structure of the brain. However, the accuracy of reconstructed fiber on the white matter boundary is constrained by the low resolution of DWI. In order to overcome this defect, we proposed a new DWI tractography algorithm combined with functional magnetic resonance (fMRI). Functional correlation tensor derived from fMRI signal anisotropy in the white matter was employed to describe the functional information of the fiber bundle firstly. Then the particle filter scheme was used to estimate the optimal directional probability distribution and reconstruct streamlines. Experiments on in-vivo data showed the fiber pathways under specific functions loading can be effectively reconstructed, and the accuracy of boundary region can be improved.
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This study is Supported by Sichuan Science and Technology Program 2017RZ0012.
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Dong, X., Xiao, D., Yang, Z. (2019). DWI Fiber Tracking with Functional MRI of White Matter. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11632. Springer, Cham. https://doi.org/10.1007/978-3-030-24274-9_38
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