Labeling of ambiguous subvoxel fibre bundle configurations in high angular resolution diffusion MRI

NeuroImage

Volumn 41, Issue 1, 2008, Pages 58-68

  Savadjiev, Peter ^a   Campbell, Jennifer S W ^a,b   Descoteaux, Maxime ^c   Deriche, Rachid ^c   Pike, G Bruce ^b   Siddiqi, Kaleem ^a  

^a MCGILL UNIVERSITY   (Canada)

^b MCGILL UNIVERSITY   (Canada)

^c INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; DIFFUSION WEIGHTED IMAGING; FIBER TRACTOGRAPHY; GEOMETRY; HUMAN; HUMAN EXPERIMENT; IMAGING SYSTEM; NERVE FIBER; NERVE TRACT; NEUROBIOLOGY; NEUROIMAGING; NORMAL HUMAN; PRIORITY JOURNAL;

ADULT; ALGORITHMS; BRAIN; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MOTOR CORTEX; NERVE FIBERS; NEURAL PATHWAYS;

EID: 42649098900     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2008.01.028     Document Type: Article

References (38)

1. Alexander D.C. Maximum entropy spherical deconvolution for diffusion MRI. Image Processing in Medical Imaging (2005) 76-87
2. Anderson A. Measurements of fiber orientation distributions using high angular resolution diffusion imaging. Magn. Reson. Med. 54 (2005) 1194-1206
3. Assaf Y., and Basser P.J. Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain. Neuroimage 27 1 (2005) 48-58
4. Basser P.-J., Matiello J., and Le Bihan D. MR diffusion tensor spectroscopy and imaging. Biophys. J. 66 (1994) 259-267
5. Basser P., Pajevic S., Pierpaoli C., Duda J., and Aldroubi A. In vivo fiber tractography using DT-MRI data. Magn. Reson. Med. 44 (2000) 625-632
6. Behrens T.E., Berg H.J., Jbabdi S., Rushworth M.F., and Woolrich M.W. Probabilistic diffusion tractography with multiple fibre orientations: what can we gain?. NeuroImage. 34 1 (2007) 144-155
7. Callaghan P.T. Principles of Nuclear Magnetic Resonance Microscopy (1993), Oxford University Press, Oxford
8. Campbell J.S.W., Siddiqi K., Rymar V.V., Sadikot A.F., and Pike G.B. Flow-based fiber tracking with diffusion tensor and Q-ball data: validation and comparison to principal diffusion direction techniques. NeuroImage 27 (2005) 725-736
9. Campbell J.S.W., Savadjiev P., Siddiqi K., and Pike G.B. Validation and regularization in diffusion MRI tractography. Proc. International Symposium on Biomedical Imaging (ISBI) (2006) 351-354
10. Collins D., Neelin P., Peters T., and Evans A. Automatic 3D inter-subject registration of MR volumetric data in standardized Talairach space. J. Comput. Assist. Tomogr. 18 2 (1994) 192-205
11. Dell'Acqua F., Rizzo G., Scifo P., Clarke R., Scotti G., and Fazio F. A model- based deconvolution approach to solve fiber crossing in diffusion-weighted MR imaging. Transactions in Biomedical Engineering 54 3 (2007) 462-472
12. Descoteaux M., and Deriche R. Sharpening improves clinically feasible Q-Ball imaging reconstructions. Joint Annual Meeting ISMRM-ESMRMB, International Society of Magnetic Resonance in Medicine, Berlin, Germany (2007) 906
13. Descoteaux M., Angelino E., Fitzgibbons S., and Deriche R. Regularized, fast, and robust analytical Q-Ball imaging. Magn. Reson. Med. 58 3 (2007) 497-510
14. Descoteaux M., Deriche R., and Anwander A. Deterministic and Probabilistic Q-Ball Tractography: From Diffusion to Sharp Fiber Distributions, Tech. Rep. 6273, INRIA Sophia Antipolis (2007) July
15. Friman O., Farneback G., and Westin C.-F. A bayesian approach for stochastic white matter tractography. IEEE Transactions in Medical Imaging 25 8 (2006) 965-978
16. Hummel R., and Zucker S. On the foundations of relaxation labeling processes. IEEE Trans. Pattern Anal. Mach. Intell. 5 (1983) 267-287
17. Jansons K.M., and Alexander D.C. Persistent angular structure: new insights fom diffusion magnetic resonance imaging data. Inverse Problems 19 (2003) 1031-1046
18. Jian B., and Vemuri B.C. A unified computational framework for deconvolution to reconstruct multiple fibers from diffusion weighted MRI. IEEE Trans. Med. Imaging 26 11 (2007) 1464-1471 (Nov)
19. Kaden E., Knosche T.R., and Anwander A. Parametric spherical deconvolution: Inferring anatomical connectivity using diffusion MR imaging. NeuroImage 37 (2007) 474-488
20. Le Bihan D., Mangin J.-F., Poupon C., Clark C., Pappata S., Molko N., and Chabriat H. Diffusion tensor imaging: concepts and applications. J. Magnetic Resonance Imaging 13 (2001) 534-546
21. Le Bihan D., Poupon C., Amadon A., and Lethimonnier F. Artifacts and pitfalls in diffusion MRI. J. Magn. Reson. Imaging 24 3 (2006) 478-488
22. Lin C.P., Wedeen V., Chen J., Yao C., and Tseng W. Validation of diffusion spectrum magnetic resonance axonal fiber imaging with manganese-enhanced optic tracts and ex-vivo phantoms. NeuroImage 19 (2003) 482-495
23. Maes F., Collignon A., Vandermeulen D., Marchal G., and Suetens P. Multimodality image registration by maximization of mutual information. IEEE Trans. Med. Imaging 16 2 (1997) 187-198
24. Mori S., Crain B., Chacko V., and van Zijl P. Three dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Annal. Neurol. 45 (1999) 265-269
25. Nieuwenhuys R., Voogd J., and van Huijzen C. The Human Central Nervous System: A Synopsis and Atlas. 3rd Edition (1988), Springer-Verlag
26. Özarslan E., Shepherd T., Vemuri B., Blackband S., and Mareci T. Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT). NeuroImage 31 3 (2006) 1086-1103
27. Parent P., and Zucker S. Trace inference, curvature consistency, and curve detection. IEEE Trans. Pattern Anal. Mach. Intell. 11 (1989) 823-839
28. Parker G., and Alexander D. Probabilistic anatomical connectivity derived from the microscopic persistent angular structure of cerebral tissue. Phil. Trans. R. Soc. B 360 (2005) 893-902
29. Ramírez-Manzanares A., and Rivera M. Basis tensor decomposition for restoring intra-voxel structure and stochastic walks for inferring brain connectivity in DT-MRI. Int. Journal of Computer Vision 69 1 (2006) 77-92
30. Sakaie K.E., and Lowe M.J. An objective method for regularization of fiber orientation distributions derived from diffusion-weighted MRI. NeuroImage 34 (2007) 169-176
31. Savadjiev P., Campbell J.S.W., Pike G.B., and Siddiqi K. 3D curve inference for diffusion MRI regularization and fibre tractography. Med. Image Anal. 10 5 (2006) 799-813
32. Seunarine K.K., Cook P.A., Embleton K., Parker G., and Alexander D. A general framework for multiple-fibre PICo tractography. Proc. Medical Image Understanding and Analysis (MIUA) (2006)
33. Talairach J., and Tournoux P. Co-Planar Stereotaxic Atlas of the Human Brain: 3- Dimensional Proportional System : An Approach to Cerebral Imaging (1988), Thieme Medical Publishers
34. Tournier J.D., Calamante F., Gadian D.-G., and Connelly A. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution. NeuroImage 23 (2004) 1176-1185
35. Tournier J.-D., Calamante F., and Connelly A. Robust determination of the fibre orientation distribution in diffusion MRI: non-negativity constrained super-resolved spherical deconvolution. NeuroImage 35 4 (2007) 1459-1472
36. Tuch, D., Diffusion MRI of complex tissue structure, PhD thesis, Harvard-MIT (2002).
37. Tuch D. Q-Ball imaging. Magn. Reson. Med. 52 (2004) 1358-1372
38. Wedeen V., Reese T., Tuch D., Weigel M., Dou J.-G., Weiskoff R., and Chessler D. Mapping fibre orientation spectra in cerebral white matter with Fourier-transform diffusion MRI. Proceedings of the International Society for Magnetic Resonance in Medicine: 8th Scientific Meeting and Exhibition (2000) 82