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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Conturo, T.E., Lor, N.F., Cull, T.S.: Tracking neuronal fiber pathways in the living human brain. Proc. Natl. Acad. Sci. U. S. A. 96(18), 10422–10427 (1999)
Girard, G., Whittingstall, K., Deriche, R.: Towards quantitative connectivity analysis: reducing tractography biases. Neuroimage 98, 266–278 (2014)
Friman, O., Farneback, G., Westin, C.: A Bayesian approach for stochastic white matter tractography. IEEE Trans. Med. Imaging 25(8), 965–978 (2006)
Wu, X.D., Li, Y.B., Lin, Y., Zhou, R.L.: Weighted sparse image classification based on low rank representation. Comput. Mater. Contin. 56(1), 91–105 (2018)
Behrens, T.E.J., Johansen Berg, H., Jbabdi, S.: Probabilistic diffusion tractography with multiple fibre orientations: what can we gain. Neuro Image 34, 144–155 (2007)
Tournier, J.D., Susumu, M., Alexander, L.: Diffusion tensor imaging and beyond. Magn. Reson. Med. 65, 1532–1556 (2011)
Basser, P.J., Pierpaoli, C.: Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. J. Magn. Reson. 213(2), 570–590 (2011)
Jbabdi, S., Heidi, J.B.: Tractography: where do we go from here. Brain Connect. 1, 169–183 (2011)
St-Onge, E., Daducci, A., Girard, G., Descoteaux, M.: Surface-enhanced tractography (SET). NeuroImage 169, 524 (2018)
Rheault, F., Houde, J.C., Descoteaux, M.: Visualization, interaction and tractometry: Dealing with millions of streamlines from diffusion MRI tractography. Front. Neuroinformatics 11, 42 (2017)
Smith, R.E.: Anatomically-constrained tractography: improved diffusion MRI streamlines tractography through effective use of anatomical information. Neuroimage 62, 1924–1938 (2012)
Ding, Z., Xu, R., Stephen, K.: Visualizing functional pathways in the human brain using correlation tensors and magnetic resonance imaging. Magn. Reson. Imaging 34(1), 8–17 (2016)
Wu, X., Yang, Z.P., Bailey, S.: Functional connectivity and activity of white matter in somatosensory pathways under tactile stimulations. NeuroImage 152, 371–380 (2017)
Wang, C.T., Feng, Y., Li, T.Z., Xie, H., Kwon, G.-R.: A new encryption-then-compression scheme on gray images using the Markov random field. Comput. Mater. Contin. 56(1), 107–121 (2018)
Arulampalam, M.S., Maskell, S., Gordon, N., Clapp, T.: A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. Signal Process. 50(2), 174–188 (2002)
Ding, Z.: Detection of synchronous brain activity in white matter tracts at rest and under functional loading. Proc. Natl. Acad. Sci. 115(3), 595–600 (2018)
Doucet, A., Godsill, S., Andrieu, C.: On sequential Monte Carlo sampling methods for Bayesian filtering. Stat. Comput. 10(3), 197–208 (2000)
Acknowledgements
This study is Supported by Sichuan Science and Technology Program 2017RZ0012.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-24274-9_38
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-24273-2
Online ISBN: 978-3-030-24274-9
eBook Packages: Computer ScienceComputer Science (R0)