Beyond crossing fibers: Bootstrap probabilistic tractography using complex subvoxel fiber geometries

Frontiers in Neurology

Volumn 5, Issue OCT, 2014, Pages

  Campbell, Jennifer S W ^a   MomayyezSiahkal, Parya ^a   Savadjiev, Peter ^b   Siddqi, Kaleem ^c   Leppert, Ilana R ^a   Pike, G Bruce ^d  

^a MCGILL UNIVERSITY   (Canada)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

^c MCGILL UNIVERSITY   (Canada)

^d UNIVERSITY OF CALGARY   (Canada)

Author keywords

Curve inference; Diffusion MRI; Fiber dispersion; Fiber orientation distribution function; High angular resolution diffusion imaging

Indexed keywords

ALGORITHM; ARTICLE; BOOTSTRAPPING; BRAIN MAPPING; CURVE INFERENCE ALGORITHM; DIFFUSION WEIGHTED IMAGING; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; IMAGE PROCESSING; MEASUREMENT REPEATABILITY; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE SCANNER; PHYSICAL PARAMETERS; PROBABILITY; SIGNAL NOISE RATIO; SUBVOXEL FIBER GEOMETRY; TRACTOGRAPHY;

EID: 84907962915     PISSN: None     EISSN: 16642295     Source Type: Journal    
DOI: 10.3389/fneur.2014.00216     Document Type: Article

References (32)

1. Anderson, A. (2005), Measurement of fiber orientation distributions using high angular resolution diffusion imaging, Magnetic Resonance in Medicine, 54, 5, 1194-1206.
2. Basser, P., Matiello, J., and Bihan, D. L. (1994), MR diffusion tensor spectroscopy and imaging, Biophysical Journal, 66, 259-267.
3. Behrens, T. (2007), Probabilistic diffusion tractography with multiple fibre orientations: what can we gain?, NeuroImage, 34, 144-155.
4. Behrens, T. E., Woolrich, M. W., Jenkinson, M., Johansen-Berg, H., Nunes, R. G., Clare, S., et al. (2003), Characterization and propagation of uncertainty in diffusion-weighted MR imaging, Magn Reson Med, 50, 5, 1077-88.
5. Berman, J., Chung, S., Mukherjee, P., Hess, C., Han, E., and Henry, R. (2008), Probabilistic streamline q-ball tractography using the residual bootstrap, NeuroImage, 39, 1, 215-222.
6. Campbell, J., Siddiqi, K., Rymar, V., Sadikot, A., and Pike, G. (2005), Flow-based fiber tracking with diffusion tensor and q-ball data: Validation and comparison to principal diffusion direction techniques, NeuroImage, 27, 4, 725-736.
7. Coupé, P., Manjón, J. V., Chamberland, M., Descoteaux, M., and Hiba, B. (2013), Collaborative patch-based super-resolution for diffusion-weighted images, NeuroImage, 83, 245-261, doi:10.1016/j. neuroimage.2013.06.030
8. Descoteaux, M., Deriche, R., Knosche, T. R., and Anwander, A. (2009), Deterministic and probabilistic tractography based on complex fibre orientation distributions, IEEE TransMed Imaging., 28, 2, 269-86.
9. Efron, B. and Tibshirani, R. (1993), An introduction to the bootstrap,Monographs on statistics and applied probability 57 (Chapman & Hall, New York)
10. Frey, S., Campbell, J. S., Pike, G. B., and Petrides, M. (2008), Dissociating the human language pathways with high angular resolution diffusion fiber tractography, J Neurosci., 28, 45, 11435-44.
11. Girard, G., Whittingstall, K., Deriche, R., and Descoteaux, M. (2014), Towards quantitative connectivity analysis: reducing tractography biases, NeuroImage, 98, 266-278, doi:10.1016/j.neuroimage.2014.04. 074
12. Haroon, H. and Parker, G. (2007), Using variants of the wild bootstrap to quantify uncertainty in fibre orientations from q-ball analysis, in Proceedings of the 2007 Organization for Human Brain Mapping annual meeting, 273
13. Jeurissen, B., Leemans, A., Jones, D. K., Tournier, J.-D., and Sijbers, J. (2011), Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution, Human Brain Mapping, 32, 3, 461-79.
14. Jeurissen, B., Leemans, A., Tournier, J., and Sijbers, J. (2009), Probabilistic Fiber Tracking using the Residual Bootstrap with Constrained Spherical Deconvolution MRI, in Proceedings 17th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Honolulu, 1438
15. Jones, D. and Pierpaoli, C. (2005), Confidence mapping in diffusion tensor magnetic resonance imaging tractography using a bootstrap approach, Magn. Reson. Med., 53, 1143-1149.
16. Jones, D. K., Williams, S. C., Gasston, D., Horsfield, M. A., Simmons, A., and Howard, R. (2002), Isotropic resolution diffusion tensor imaging with whole brain acquisition in a clinically acceptable time, Hum Brain Mapp, 15, 4, 216-30.
17. Koch, M., Norris, D., and Hund-Georgiadis., M. (2002), An investigation of functional and anatomical connectivity using magnetic resonance imaging., NeuroImage, 16, 241-250.
18. MomayyezSiahkal, P., Campbell, J. S. W., Savadjiev, P., Pike, G. B., and Siddiqi, K. (2009), Beyond crossing fibres: Probabilistic tractography of complex subvoxel fibre geometries, in MICCAI Workshop on Diffusion Modelling, 82-93.
19. Mori, S., Crain, B., Chacko, V., and van Zijl, P. (1999), Three dimensional tracking of axonal projections in the brain by magnetic resonance imaging., Annals of Neurology, 45, 265-269.
20. Morris, D. M., Embleton, K. V., and Parker, G. J. (2008), Probabilistic fibre tracking: differentiation of connections from chance events, Neuroimage., 42, 4, 1329-39.
21. Parker, G., Haroon, H., and Wheeler-Kingshott, C. (2003), A framework for a streamline-based probabilistic index of connectivity (PICo) using a structural interpretation of anisotropic diffusion, Journal of Magnetic Resonance Imaging, 18, 2, 242-254.
22. Parker, G., Wheeler-Kingshott, C., and Barker, G. (2002), Estimating distributed anatomical connectivity using fast marching methods and diffuson tensor imaging., IEEE Transactions on Medical Imaging, 21, 5, 505-512.
23. Savadjiev, P., Campbell, J., and Siddiqi, B. P. K. (2006), 3d curve inference for diffusion MRI regularization and fibre tractography, Med. Image Anal., 10, 799-813.
24. Savadjiev, P., Campbell, J. S., Pike, G. B., and Siddiqi, K. (2008), Labeling of ambiguous sub-voxel fibre bundle configurations in high angular resolution diffusion MRI, NeuroImage, 41, 1, 58-68.
25. Sotiropoulos, S. N., Behrens, T. E., and Jbabdi, S. (2012), Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI., NeuroImage, 60, 2, 1412-1425.
26. Tournier, J., Calamante, F., Gadian, D., and Connelly, A. (2004), Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution, NeuroImage, 23, 1176-1185.
27. Tournier, J.-D., Calamante, F., and Connelly, A. (2007), Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution, NeuroImage, 35, 4, 1459-1472, doi:10.1016/j.neuroimage.2007.02.016
28. Tournier, J.-D., Calamante, F., and Connelly, A. (2012), MRtrix: Diffusion tractography in crossing fiber regions, Int. J. Imaging Syst. Technol., 22, 1, 53-66, doi:10.1002/ima.22005
29. Tristán-Vega, A. and Aja-Fernández, S. (2010), DWI filtering using joint information for DTI and HARDI, Medical Image Analysis, 14, 2, 205-218, doi:10.1016/j.media.2009.11.001
30. Tuch, D., Wiegell, M., Reese, T., Belliveau, J., and Wedeen, V. (2001), Measuring cortico-cortical connectivity matrices with diffusion spectrum imaging, in Proceedings of International Society of Magnetic Resonance in Medicine (Glasgow, Scotland), 502
31. Tuch, D. S. (2004), Q-ball imaging, Magn. Reson. Med., 52, 1358-1372.
32. Zhang, H., Schneider, T., Wheeler-Kingshott, C. A., and Alexander, D. C. (2012), NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain, NeuroImage, 61, 4, 1000 - 1016, doi:10.1016/j.neuroimage.2012.03.072