Multiple Fibers. Beyond the Diffusion Tensor.

Diffusion MRI: From Quantitative Measurement to In vivo Neuroanatomy: Second Edition

Volumn , Issue , 2013, Pages 105-123

  Seunarine, Kiran K ^a   Alexander, Daniel C ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Crossing fibers; Diffusion spectrum imaging; Orientation distribution function; Spherical deconvolution

Indexed keywords

DIFFUSION; DISTRIBUTION FUNCTIONS; FIBERS; MAGNETIC RESONANCE IMAGING; TENSORS;

ANGULAR STRUCTURE; CROSSING FIBERS; DIFFUSION SPECTRUM IMAGING; DIFFUSION TENSOR; ORIENTATION DISTRIBUTION FUNCTION; RECONSTRUCTION ALGORITHMS; SPHERICAL DECONVOLUTION; WHITE MATTER;

DIFFUSION TENSOR IMAGING;

EID: 84902224477     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-0-12-396460-1.00006-8     Document Type: Chapter

References (57)

1. Aganj I., Lenglet C., Sapiro G., Yacoub E., Ugurbil K., Harel N. Reconstruction of the orientation distribution function in single- and multiple-shell q-ball imaging within constant solid angle. Magn. Reson. Med. 2010, 64:554-566.
2. Alexander D.C. Multiple-fibre reconstruction algorithms for diffusion MRI. Ann. N. Y. Acad. Sci. 2005, 1046:113-133.
3. Alexander D.C. Maximum entropy spherical deconvolution for diffusion MRI. Proceedings of Information Processing in Medical Imaging. Lecture Notes in Computer Science 2005, 3565. Springer-Verlag, Berlin, pp. 76-87.
4. Alexander D.C., Barker G.J. Optimal imaging parameters for fiber orientation estimation in diffusion MRI. NeuroImage 2005, 27:357-367.
5. Alexander D.C., Barker G.J., Arridge S.R. Detection and modeling of non-Gaussian apparent diffusion coefficient profiles in human brain data. Magn. Reson. Med. 2002, 48:331-340.
6. Anderson A.W. Measurement of fiber orientation distributions using high angular resolution diffusion imaging. Magn. Reson. Med. 2005, 54:1194-1206.
7. Anderson A., Ding Z. Sub-voxel measurement of fiber orientation using high angular resolution diffusion tensor imaging. Proceedings of the 10th Annual Meeting of the ISMRM 2002, 440. Honolulu.
8. Assaf Y., Freidlin R.Z., Rohde G.K., Basser P.J. New modelling and experimental framework to characterize hindered and restricted water diffusion in brain white matter. Magn. Reson. Med. 2004, 52:965-978.
9. Behrens T.E.J., Woolrich M.W., Jenkinson M., Johansen-Berg H., Nunes R.G., Clare S., Matthews P.M., Brady J.M., Smith S.M. Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magn. Reson. Med. 2003, 50:1077-1088.
10. Behrens T.E.J., Johansen-Berg H., Jbabdi S., Rushworth M.F.S., Woolrich M.W. Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?. NeuroImage 2007, 34:144-155.
11. Berman J.I., Chung S., Mukherjee P., Hess C.P., Han E.T., Henry R.G. Probabilistic streamline q-ball tractography using the residual bootstrap. NeuroImage 2008, 39:215-222.
12. Bloy L., Verma R. On computing the underlying fiber directions from the diffusion orientation distribution function. New York. Lecture Notes in Computer Science 2008, 5241:1-8. Springer-Verlag, Berlin.
13. Blyth R., Cook P.A., Alexander D.C. Tractography with multiple fibre orientations. Proceedings of the 11th Annual Meeting of the ISMRM 2003, 240. Toronto.
14. Chen Y., Guo W., Zeng Q., He G., Vemuri B.C., Liu Y. Recovery of intra-voxel structure from HARD DWI. Proceedings of the IEEE International Symposium on Biomedical Imaging 2004, 1028-1031. Arlington.
15. Cook P.A., Alexander D.C. Modelling uncertainty in two fibre-orientation estimates within a voxel. Proceedings of the 14th Annual Meeting of the ISMRM 2006, 1629. Seattle.
16. Cook P.A., Zhang H., Avants B.B., Yushkevich P.A., Alexander D.C., Gee J.C., Ciccarelli O., Thompson A.J. An automated approach to connectivity-based partitioning of Brain Structures. Proceedings of Medical Image Computing and Computer-Assisted Intervention 2005, 164-171. Palm Springs.
17. Cook P.A., Bai Y., Nedjati-Gilani S., Seunarine K.K., Hall M.G., Parker G.J.M., Alexander D.C. Camino: open-source diffusion-MRI reconstruction and processing. Proceedings of the 14th Annual Meeting of the ISMRM 2006, 2359. Berlin.
18. Descoteaux M., Angelino E., Fitzgibbons S., Deriche R. Regularized, fast and robust analytical Q-Ball imaging. Magn. Reson. Med. 2007, 58:497-510.
19. Fonteijn H.M.J., Verstraten F.A.J., Norris D.G. Probabilistic inference on Q-Ball imaging data. IEEE Trans. Med. Imaging 2007, 26:1515-1524.
20. Frank L.R. Characterization of anisotropy in high angular resolution diffusion-weighted MRI. Magn. Reson. Med. 2002, 47:1083-1099.
21. Hagmann P., Kurant M., Gigandet X., Thiran P., Wedeen V.J., Meuli R., Thiran J.-P. Mapping human whole-brain structural networks with diffusion MRI. PLoS ONE 2007, 2(7). e597.
22. Hansen P.C. Regularization tools; a MATLAB package for analysis and solution of ill-posed problems. Numerical Algorithms 1994, 6:1-35.
23. Haroon H.A., Parker G.J.M. Using the wild bootstrap to quantify uncertainty in fibre orientations from Q-Ball analysis. Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2007, 903. Berlin.
24. Hess C.P., Mukherjee P., Han E.T., Xu D., Vigneron D.B. A spherical harmonic approach to Q-Ball imaging. Proceedings of the 13th Annual Meeting of the ISMRM 2005, 389. Florida.
25. Hosey T., Williams G., Ansorge R. Inference of multiple fiber orientations in high angular resolution diffusion imaging. Magn. Reson. Med. 2005, 54:1480-1489.
26. Jansons K.M., Alexander D.C. Persistent angular structure: new insights from diffusion MRI data. Inverse Problems 2003, 19:1031-1046.
27. Jeong H.-K., Anderson A.W. Measurement of Intrinsic fiber diffusivity using spherical deconvolution of high angular diffusion MRI data. Proceedings of the 15th Annual Meeting of the ISMRM 2007, 905. Berlin.
28. Jespersen S.N., Kroenke C.D., Østergaard L., Ackerman J.J.H., Yablonskiy D.A. Modeling dendrite density from magnetic resonance diffusion measurements. NeuroImage 2007, 34:1473-1486.
29. Jespersen S.N., Bjarkam C.R., Nyengaard J.R., Chakravarty M.M., Hansen B., Vosegaard T., Østergaard L., Yablonskiy D.A., Nielson N.C., Vestergaard-Poulsen P. A novel tensor distribution model for the diffusion-weighted MR signal. NeuroImage 2010, 37:164-176.
30. Jian B., Vemuri B.C., Özarslan E., Carney P.R., Mareci T.H. A novel tensor distribution model for the diffusion-weighted MR signal. NeuroImage 2007, 37:164-176.
31. Jian B., Vemuri B.C. A unified computational framework for deconvolution to reconstruct multiple fibers from diffusion weighted MRI. IEEE Trans. Med. Imaging 2007, 26:1464-1471.
32. Kaden E., Knösche T.R., Anwander A. Parametric spherical deconvolution: Inferring anatomical connectivity using diffusion MR imaging. NeuroImage 2007, 37:474-488.
33. Kuo L.-W., Chen J.-H., Wedeen V.J., Tseng W.-Y.I. Optimization of diffusion spectrum imaging and q-ball imaging on clinical MRI system. NeuroImage 2008, 41:7-18.
34. Leow A.D., Zhu S., Zhan L., McMahon K., de Zubicaray G.I., Meredith M., Wright M.J., Toga A.W., Thompson P.M. The tensor distribution function. Magn. Reson. Med. 2009, 42:205-214.
35. Lin C.-P., Tseng W.-Y.I., Kuo L.-W., Wedeen V.J., Chen J.-H. Mapping orientation distribution function with spherical encoding. Proceedings of the 11th Annual Meeting of the ISMRM 2003, 2120. Toronto.
36. Neuman C.H. Spin echo of spins diffusion in a bounded medium. J. Chem. Phys. 1974, 60:4508-4511.
37. Özarslan E., Shepherd T.M., Vemuri B.C., Blackband S.J., Mareci T.H. Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT). NeuroImage 2006, 31:1086-1103.
38. Parker G.J.M., Alexander D.C. Probabilistic Monte-Carlo based mapping of cerebral connections utilizing whole-brain crossing fibre information. Proceedings of Image Processing in Medical Imaging. Lecture Notes in Computer Science 2003, 2732. Springer-Verlag, Berlin, pp. 684-695.
39. Parker G.J.M., Alexander D.C. Probabilistic anatomic connectivity derived from the microscopic persistent angular structure of cerebral tissue. Philos. Trans. R. Soc. Lond. B. Biol. Sci. B. 2005, 360:893-902.
40. Pasternak O., Sochen N., Assaf Y. PDE based estimation and regularization of multiple diffusion tensor fields. Visualization and Image Processing of Tensor Fields 2006, Springer-Verlag, Berlin. J. Weickert, H. Hagen (Eds.).
41. Perrin M., Poupon C., Cointepas Y., Rieul B., Golestani N., Pallier C., Rivière D., Constantinesco A., Le Bihan D., Mangin J.-F. Fiber tracking in q-ball fields using regularized particle trajectories. Proceedings of Information Processing in Medical Imaging 2005, 52-63. Spring Valley.
42. Ramirez-Manzanares A., Rivera M., Vemuri B.C., Carney P., Mareci T.H. Diffusion basis functions decomposition for estimating white matter intravoxel fiber geometry. IEEE Trans. Med. Imaging 2007, 26:1091-1102.
43. Sakaie K.E. How Fast can PAS Go?. Proceedings of the 16th Annual Meeting of the ISMRM 2008, 3323. Toronto.
44. Savadjiev P., Campbell J.S.W., Descoteaux M., Deriche R., Pike G.B., Siddiqi K. Labelling of ambiguous subvoxel fibre bundle configurations in high angular resolution diffusion MRI. NeuroImage 2008, 41:58-68.
45. Seunarine K.K., Alexander D.C. Linear persistent angular structure MRI and non-linear spherical deconvolution for diffusion MRI. Proceedings of the 14th Annual Meeting of the ISMRM 2006, 2726. Seattle.
46. Seunarine K.K., Cook P.A., Hall M.G., Embleton K.V., Parker G.J.M., Alexander D.C. Exploiting peak anisotropy for tracking through complex structures. Proceedings of the 11th IEEE International Conference on Computer Vision Workshop on MMBIA 2007, Rio de Janeiro.
47. Sweet A., Alexander D.C. Reduced encoding persistent angular structure. Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2010, 572. Stockholm.
48. Tournier J.-D., Calamante F., Gadian D.G., Connelly A. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution. NeuroImage 2004, 23:1176-1185.
49. Tournier J.-D., Calamante F., Connelly A. Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution. NeuroImage 2007, 35:1459-1472.
50. Tournier J.-D., Yeh C.-H., Calamante F., Cho K.-H., Connelly A., Lin C.-P. Resolving crossing fibres using constrained spherical deconvolution: Validation using diffusion-weighted imaging phantom data. NeuroImage 2008, 42:617-625.
51. Tuch D.S. Diffusion MRI of complex tissue structure 2002, Thesis, Biomedical Imaging, Massachusetts Institute of Technology.
52. Tuch D.S. Q-Ball imaging. Magn. Reson. Med. 2004, 52:1358-1372.
53. Tuch D.S., Reese T.G., Wiegell M.R., Makris N., Belliveau J.W., Wedeen V.J. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity. Magn. Reson. Med. 2002, 48:577-582.
54. Tuch D.S., Reese T.G., Wiegell M.R., Wedeen V.J. Diffusion MRI of complex neural architecture. Neuron 2003, 40:885-895.
55. Wedeen V.J., Reese T.G., Tuch D.S., Dou J.-G., Weiskoff R.M., Chessler D. Mapping fiber orientation spectra in cerebral white matter with Fourier-transform diffusion MRI. Proceedings of the 8th Annual Meeting of the ISMRM 2000, 82.
56. Wedeen V.J., Hagmann P., Tseng W.-Y.I., Reese T.G., Weisskoff R.M. Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging. Magn. Reson. Med. 2005, 54:1377-1386.
57. Zhang H., Schneider T., Wheeler-Kingshott C.A., Alexander D.C. NODDI: Practical in-vivo neurite orientation dispersion and density imaging of the human brain. NeuroImage 2012, 61:1000-1016.