Abstract
Diffusion weighted MRI (DWI) is a primary tool for mapping structural connectivity of white matter tracts in the human brain. Recently, fiber reconstruction can be improved combing diffusion and functional MRI (fMRI) to obtain the optimal path. In this paper, we proposed an optimized white matter fiber reconstruction algorithm which used diffusion and functional MRI signals in white matter to track functional active pathways under specific neural activities. The experimental results demonstrated the method we proposed can be used to reconstruct the functional white matter fiber bundle, which is more reliable and robust than the existing method of fiber reconstruction.
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This study is supported by Sichuan Science and Technology Program 2017RZ0012.
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Xiao, D., Dong, X., Yang, Z. (2019). Optimized White Matter Fiber Reconstruction Using Combination of Diffusion and Functional MRI. 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_41
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DOI: https://doi.org/10.1007/978-3-030-24274-9_41
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