Introduction to diffusion tensor imaging: And higher order models: Second edition

Introduction to Diffusion Tensor Imaging: And Higher Order Models: Second Edition

Volumn , Issue , 2013, Pages 1-126

  Mori, Susumu ^a   Tournier, J Donald ^b  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b FLOREY INSTITUTE OF NEUROSCIENCE AND MENTAL HEALTH   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84905768453     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/C2011-0-07607-X     Document Type: Book

References (155)

1. Basser PJ, Jones DK. Diffusion-tensor MRI: theory, experimental design and data analysis-a technical review. NMR Biomed 2002; 15: 456-67.
2. Le Bihan D, Breton E, Lallemand D, Grenier P, Cabanis E, et al. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology 1986; 161: 401-7.
3. Stejskal E. Use of spin echoes in a pulsed magnetic-field gradient to study restricted diffusion and flow. J Chem Phys 1965; 43: 3597-603.
4. Stejskal EO, Tanner JE. Spin diffusion measurement: spin echoes in the presence of a time-dependent field gradient. J Chem Phys 1965; 42: 288.
5. Basser PJ, Mattiello J, LeBihan D. Estimation of the effective selfdiffusion tensor from the NMR spin echo. J Magn Reson B 1994; 103: 247-54.
6. Basser PJ, Jones DK. Diffusion-tensor MRI: theory, experimental design and data analysis-a technical review. NMR Biomed 2002; 15: 456-67.
7. Beaulieu C. The basis of anisotropic water diffusion in the nervous system-a technical review. NMR Biomed 2002; 15: 435-55.
8. Henkelman R, Stanisz G, Kim J, Bronskill M. Anisotropy of NMR properties of tissues. Magn Reson Med 1994; 32: 592-601.
9. Stanisz GJ, Szafer A, Wright GA, Henkelman RM. An analytical model of restricted diffusion in bovine optic nerve. Magn Reson Med 1997; 37: 103-11.
10. Alexander DC, Barker GJ. Optimal imaging parameters for fiberorientation estimation in diffusion MRI. Neuroimage 2005; 27: 357-67.
11. Anderson AW, Gore JC. Analysis and correction of motion artifacts in diffusion weighted imaging. Magn Reson Med 1994; 32: 379-87.
12. Bammer R, Auer M, Keeling SL, Augustin M, Stables LA, et al. Diffusion tensor imaging using single-shot SENSE-EPI. Magn Reson Med 2002; 48: 128-36.
13. Bsatin M. Correction of eddy current-induced artifacts in diffusion tensor imaging using iterative cross-correlation. Magn Reson Imaging 1999; 17: 1011-24.
14. Butts K, de Crespigny A, Pauly JM, Moseley M. Diffusionweighted interleaved echo-planar imaging with a pair of orthogonal navigator echoes. Magn Reson Med 1996; 35: 763-70.
15. Clark CA, Hedehus M, Moseley ME. In vivo mapping of the fast and slow diffusion tensors in human brain. Magn Reson Med 2002; 47: 623-8.
16. Clark CA, Le Bihan D. Water diffusion compartmentation and anisotropy at high b values in the human brain. Magn Reson Med 2000; 44: 852-9.
17. Hasan KM, Parker DL, Alexander AL. Comparison of gradient encoding schemes for diffusion-tensor MRI. J Magn Reson Imaging 2001; 13: 769-80.
18. Horsfield M. Mapping eddy current induced fields for the correction of diffusion-weighted echo planar images. Magn Reson Imaging 1999; 17: 1335-45.
19. Jaermann T, Crelier G, Pruessmann KP, Golay X, Netsch T, et al. SENSE-DTI at 3 T. Magn Reson Med 2004; 51: 230-6.
20. Jazzard P, Barnett AS, Pierpaoli C. Characterization of and correction for eddy current artifacts in echo planar diffusion imaging. Magn Reson Med 1998; 39: 801-12.
21. Jiang H, Golay X, van Zijl PC, Mori S. Origin and minimization of residual motion-related artifacts in navigator-corrected segmented diffusion-weighted EPI of the human brain. Magn Reson Med 2002; 47: 818-22.
22. Jones DK. The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: a Monte Carlo study. Magn Reson Med 2004; 51: 807-15.
23. Jones DK, Horsfield MA, Simmons A. Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging. Magn Reson Med 1999; 42: 515-25.
24. Kim J, Kanaan R, Pearlson GD. Extended mutual information registration for simultaneously correcting motion effects and Eddy current distortion of single-shot echo-planar diffusion tensor imaging. Human Brain Mapping. Japan: Sendai; 2002.
25. Maier SE, Vajapeyam S, Mamata H, Westin CF, Jolesz FA, et al. Biexponential diffusion tensor analysis of human brain diffusion data. Magn Reson Med 2004; 51: 321-30.
26. Mangin JF, Poupon C, Clark C, Le Bihan D, Bloch I. Distortion correction and robust tensor estimation for MR diffusion imaging. Med Image Anal 2002; 6: 191-8.
27. Mulkern RV, Gudbjartsson H, Westin CF, Zengingonul HP, Gartner W, et al. Multi-component apparent diffusion coefficients in human brain. NMR Biomed 1999; 12: 51-62.
28. Norris DG. Implications of bulk motion for diffusion-weighted imaging experiments: effects, mechanisms, and solutions. J Magn Reson Imaging 2001; 13: 486-95.
29. Ordidge RJ, Helpern JA, Qing ZX, Knight RA, Nagesh V. Correction of motional artifacts in diffusion-weighted NMR images using navigator echoes. Magn Reson Imaging 1994; 12: 455-60.
30. Pierpaoli C, Basser PJ. Toward a quantitative assessment of diffusion anisotropy. Magn Reson Med 1996; 36: 893-906.
31. Pierpaoli C, Jezzard P, Basser PJ, Barnett A, Di Chiro G. Diffusion tensor MR imaging of human brain. Radiology 1996; 201: 637-48.
32. Pruessmann KP, Weiger M, Scheidegger MB, Boesiger P. SENSE: sensitivity encoding for fast MRI. Magn Reson Med 1999; 42: 952-62.
33. Skare S, Hedehus M, Moseley ME, Li TQ. Condition number as a measure of noise performance of diffusion tensor data acquisition schemes with MRI. J Magn Reson 2000; 147: 340-52.
34. Zhou, X, Reynolds, HG. Quantitative analysis of eddy current effects on diffusion-weighted EPI. In Proceedings of the International Society for Magnetic Resonance in Medicine, Vancouver, Canada 1997; p. 1722.
35. Baratti C, Barnett A, Pierpaoli C. Comparative MR imaging study of brain maturation in kittens with t1, t2, and the trace of the diffusion tensor. Radiology 1999; 210: 133-42.
36. Beaulieu C. The basis of anisotropic water diffusion in the nervous system-a technical review. NMR Biomed 2002; 15: 435-55.
37. Beaulieu C, Allen PS. Determinants of anisotropic water diffusion in nerves. Magn Reson Med 1994; 31: 394-400.
38. Conturo TE, McKinstry RC, Akbudak E, Robinson BH. Encoding of anisotropic diffusion with tetrahedral gradients: a general mathematical diffusion formalism and experimental results. Magn Reson Med 1996; 35: 399-412.
39. Douek P, Turner R, Pekar J, Patronas N, Le Bihan D. MR color mapping of myelin fiber orientation. J Comput Assist Tomogr 1991; 15: 923-9.
40. Henkelman R, Stanisz G, Kim J, Bronskill M. Anisotropy of NMR properties of tissues. Magn Reson Med 1994; 32: 592-601.
41. Lazar M, Lee JH, Alexander AL. Axial asymmetry of water diffusion in brain white matter. Magn Reson Med 2005; 54: 860-7.
42. Makris N, Worth AJ, Sorensen AG, Papadimitriou GM, Reese TG, et al. Morphometry of in vivo human white matter association pathways with diffusion weighted magnetic resonance imaging. Ann Neurol 1997; 42: 951-62.
43. Mori S, Wakana S, Nagae-Poetscher LM, van Zijl PC. MRI atlas of human white matter. Amsterdam, The Netherlands: Elsevier; 2005.
44. Nakada T, Matsuzawa H. Three-dimensional anisotropy contrast magnetic resonance imaging of the rat nervous system: MR axonography. Neurosc Res 1995; 22: 389-98.
45. Neil J, Shiran S, McKinstry R, Schefft G, Snyder A, et al. Normal brain in human newborns: apparent diffusion coefficient and diffusion anisotropy measured by using diffusion tensor MR imaging. Radiology 1998; 209: 57-66.
46. Pajevic S, Pierpaoli C. Color schemes to represent the orientation of anisotropic tissues from diffusion tensor data: application to white matter fiber tract mapping in the human brain. Magn Reson Med 1999; 42: 526-40.
47. Pierpaoli C, Basser PJ. Toward a quantitative assessment of diffusion anisotropy. Magn Reson Med 1996; 36: 893-906.
48. Pierpaoli C, Jezzard P, Basser PJ, Barnett A, Di Chiro G. Diffusion tensor MR imaging of human brain. Radiology 1996; 201: 637-48.
49. Song SK, Sun SW, Roasbottom JJ, Chang C, Russell J, Cross AH. Dysmyelination revealed through NMR as increased radial (but unchanged axial) diffusion of water. Neuroimage 2002; 17: 1429-36.
50. Stanisz GJ, Szafer A, Wright GA, Henkelman RM. An analytical model of restricted diffusion in bovine optic nerve. Magn Reson Med 1997; 37: 103-11.
51. Ulug AM, Bakht O, Bryan RN, van Zijl PCM. Mapping of human brain fibers using diffusion tensor imaging. New York: International Society for Magnetic Resonance in Medicine; 1996.
52. Westin CF, Maier SE, Mamata H, Nabavi A, Jolesz FA, et al. Processing and visualization for diffusion tensor MRI. Med Image Anal 2002; 6: 93-108.
53. Zhang J, Richards LJ, Yarowsky P, Huang H, van Zijl PC, et al. Three-dimensional anatomical characterization of the developing mouse brain by diffusion tensor microimaging. Neuroimage 2003; 20: 1639-48.
54. Zhang J, van Zijl PC, Mori S. Image contrast using the secondary and tertiary eigenvectors in diffusion tensor imaging. Magn Reson Med 2006; 55(2): 439-49.
55. Aganj I, Lenglet C, Sapiro G, Yacoub E, Ugurbil K, Harel N. Reconstruction of the orientation distribution function in singleand multiple-shell q-ball imaging within constant solid angle. Magn Reson Med 2010; 64: 554-66.
56. Alexander AL, Hasan KM, Lazar M, Tsuruda JS, Parker DL. Analysis of partial volume effects in diffusion-tensor MRI. Magn Reson Med 2001; 45: 770-80.
57. Alexander DC, Barker GJ. Optimal imaging parameters for fiberorientation estimation in diffusion MRI. Neuroimage 2005; 27: 357-67.
58. Alexander DC, Hubbard PL, Hall MG, Moore EA, Ptito M, Parker GJM, et al. Orientationally invariant indices of axon diameter and density from diffusion MRI. Neuroimage 2010; 52: 1374-89.
59. Assaf Y, Freidlin RZ, Rohde GK, Basser PJ. New modeling and experimental framework to characterize hindered and restricted water diffusion in brain white matter. Magn Reson Med 2004; 52: 965-78.
60. Assaf Y, Basser PJ. Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain. NeuroImage 2005; 27: 48-58.
61. Assaf Y, Blumenfeld-Katzir T, Yovel Y, Basser PJ. Axcaliber: a method for measuring axon diameter distribution from diffusion MRI. Magn Reson Med 2008; 59: 1347-54.
62. Beaulieu C. The basis of anisotropic water diffusion in the nervous system-a technical review. NMR Biomed 2002; 15: 435-55.
63. Behrens TEJ, Berg HJ, Jbabdi S, Rushworth MFS, Woolrich MW. Probabilistic diffusion tractography with multiple fibre orientations: what can we gain? NeuroImage 2007; 34: 144-55.
64. Callaghan PT. NMR imaging, NMR diffraction and applications of pulsed gradient spin echoes in porous media. Magn Reson Imaging 1996; 14: 701-9.
65. Clark CA, Le Bihan D. Water diffusion compartmentation and anisotropy at high b values in the human brain. Magn Reson Med 2000; 44: 852-9.
66. Dell'Acqua F, Rizzo G, Scifo P, Clarke RA, Scotti G, Fazio F. A model-based deconvolution approach to solve fiber crossing in diffusion-weighted MR imaging. IEEE Trans Biomed Eng 2007; 54: 462-72.
67. Dell'Acqua F, Simmons A, Williams SCR, Catani M. Can spherical deconvolution provide more information than fiber orientations? Hindrance modulated orientational anisotropy, a true-tract specific index to characterize white matter diffusion. Human Brain Map 2012. http://dx.doi.org/10.1002/hbm.22080.
68. Descoteaux M, Angelino E, Fitzgibbons S, Deriche R. Regularized, fast, and robust analytical Q-ball imaging. Magn Reson Med 2007; 58: 497-510.
69. Douaud G, Jbabdi S, Behrens TEJ, Menke RA, Gass A, Monsch AU, et al. DTI measures in crossing-fibre areas: increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer's disease. Neuroimage 2011; 55: 880-90.
70. Ebeling U, Reulen HJ. Subcortical topography and proportions of the pyramidal tract. Acta Neurochir (Wien) 1992; 118: 164-71.
71. Farquharson S, Tournier J-D, Calamante F, Fabinyi G, Schneider-Kolsky M, Jackson GD, et al. White matter fibre tractography: why we need to move beyond DTI. J Neurosurg 2012; 118(6): 1367-77.
72. Hess CP, Mukherjee P, Han ET, Xu D, Vigneron DB. Q-ball reconstruction of multimodal fiber orientations using the spherical harmonic basis. Magn Reson Med 2006; 56: 104-17.
73. Hosey T, Williams G, Ansorge R. Inference of multiple fiber orientations in high angular resolution diffusion imaging. Magn Reson Med 2005; 54: 1480-9.
74. Hosey TP, Harding SG, Carpenter TA, Ansorge RE, Williams GB. Application of a probabilistic double-fibre structure model to diffusion-weighted MR images of the human brain. Magn Reson Imaging 2008; 26: 236-45.
75. Jansons KM, Alexander DC. Persistent angular structure: new insights from diffusion magnetic resonance imaging data. Inverse Probl 2003; 19: 1031-46.
76. Jensen JH, Helpern JA, Ramani A, Lu H, Kaczynski K. Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med 2005; 53: 1432-40.
77. Jeurissen B, Leemans A, Tournier J-D, Jones DK, Sijbers J. Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging. Human Brain Map 2012. http://dx.doi.org/10.1002/hbm.22099.
78. Jian B, Vemuri BC. A unified computational framework for deconvolution to reconstruct multiple fibers from diffusion weighted MRI. IEEE Trans Med Imaging 2007; 26: 1464-71.
79. Jones DK, Knösche TR, Turner R. White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI. NeuroImage 2012; 73: 239-54.
80. Kinoshita M, Yamada K, Hashimoto N, Kato A, Izumoto S, Baba T, et al. Fiber-tracking does not accurately estimate size of fiber bundle in pathological condition: initial neurosurgical experience using neuronavigation and subcortical white matter stimulation. NeuroImage 2005; 25: 424-9.
81. Özarslan E, Shepherd TM, Vemuri BC, Blackband SJ, Mareci TH. Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT). NeuroImage 2006; 31: 1086-103.
82. Parker GJM, Alexander DC. Probabilistic Monte Carlo based mapping of cerebral connections utilising whole-brain crossing fibre information. Inf Process Med Imaging 2003; 18: 684-95.
83. Pierpaoli C, Basser PJ. Toward a quantitative assessment of diffusion anisotropy. Magn Reson Med 1996; 36: 893-906.
84. Raffelt D, Tournier J-D, Rose S, Ridgway GR, Henderson R, Crozier S, et al. Apparent Fibre Density: a novel measure for the analysis of diffusion-weighted magnetic resonance images. Neuroimage 2012; 59: 3976-94.
85. Stanisz GJ, Szafer A, Wright GA, Henkelman RM. An analytical model of restricted diffusion in bovine optic nerve. Magn Reson Med 1997; 37: 103-11.
86. Tournier JD, Calamante F, Gadian DG, Connelly A. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution. NeuroImage 2004; 23: 1176-85.
87. Tournier JD, Calamante F, Connelly A. Robust determination of the fibre orientation distribution in diffusion MRI: non-negativity constrained super-resolved spherical deconvolution. NeuroImage 2007; 35: 1459-72.
88. Tournier JD, Yeh C-H, Calamante F, Cho K-H, Connelly A, Lin CP. Resolving crossing fibres using constrained spherical deconvolution: validation using diffusion-weighted imaging phantom data. NeuroImage 2008; 42: 617-25.
89. Tuch DS, Reese TG, Wiegell MR, Makris N, Belliveau JW, Wedeen VJ. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity. Magn ResonMed 2002; 48: 577-82.
90. Tuch DS. Q-ball imaging. Magn Reson Med 2004; 52: 1358-72.
91. Tuch DS, Salat DH, Wisco JJ, Zaleta AK, Hevelone ND, Rosas HD. Choice reaction time performance correlates with diffusion anisotropy in white matter pathways supporting visuospatial attention. Proc Natl Acad Sci USA 2005; 102: 12212-7.
92. Van Cauter S, Veraart J, Sijbers J, Peeters RR, Himmelreich U, De Keyzer F, et al. Gliomas: diffusion kurtosis MR imaging in grading. Radiology 2012; 263: 492-501.
93. Wedeen VJ, Hagmann P, Tseng W-YI, Reese TG, Weisskoff RM. Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging. Magn Reson Med 2005; 54: 1377-86.
94. Zhan W, Yang Y. How accurately can the diffusion profiles indicate multiple fiber orientations? A study on general fiber crossings in diffusion MRI. J Magn Reson 2006; 183: 193-202.
95. Anderson AW. Theoretical analysis of the effects of noise on diffusion tensor imaging. Magn Reson Med 2001; 46: 1174-88.
96. Anwander A, Tittgemeyer M, Von Cramon DY, Friederici AD, Knösche TR. Connectivity-based parcellation of Broca's area. Cereb Cortex 2007; 17: 816-25.
97. Basser PJ, Pajevic S, Pierpaoli C, Duda J, Aldroubi A. In vivo fiber tractography using DT-MRI data. Magn Reson Med 2000; 44: 625-32.
98. Batchelor PG, Moakher M, Atkinson D, Calamante F, Connelly A. A rigorous framework for diffusion tensor calculus. Magn Reson Med 2005; 53: 221-5.
99. Behrens TEJ, Woolrich MW, Jenkinson M, Johansen-Berg H, Nunes RG, Clare S, et al. Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magn Reson Med 2003a; 50: 1077-88.
100. Behrens TEJ, Johansen-Berg H, Woolrich MW, Smith SM, Wheeler-Kingshott CAM, Boulby PA, et al. Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging. Nat Neurosci 2003b; 6: 750-7.
101. Behrens TEJ, Berg HJ, Jbabdi S, Rushworth MFS, Woolrich MW. Probabilistic diffusion tractography with multiple fibre orientations: what can we gain? NeuroImage 2007; 34: 144-55.
102. Berman JI, Chung S, Mukherjee P, Hess CP, Han ET, Henry RG. Probabilistic streamline q-ball tractography using the residual bootstrap. Neuroimage 2008; 39: 215-22.
103. Bozzali M, Parker GJM, Serra L, Embleton K, Gili T, Perri R, et al. Anatomical connectivity mapping: a new tool to assess brain disconnection in Alzheimer's disease. Neuroimage 2010.
104. Calamante F, Tournier J-D, Jackson GD, Connelly A. Track-density imaging (TDI): super-resolution white matter imaging using whole-brain track-density mapping. Neuroimage 2010; 53: 1233-43.
105. Calamante F, Tournier J-D, Smith RE, Connelly A. A generalised framework for super-resolution track-weighted imaging. Neuroimage 2012; 59: 2494-503.
106. Chao Y-P, Chen J-H, Cho K-H, Yeh C-H, Chou K-H, Lin C-P. A multiple streamline approach to high angular resolution diffusion tractography. Med Eng Phys 2008; 30: 989-96.
107. Conturo TE, Lori NF, Cull TS, Akbudak E, Snyder AZ, Shimony JS, et al. Tracking neuronal fiber pathways in the living human brain. Proc Natl Acad Sci USA 1999; 96: 10422-7.
108. Descoteaux M, Deriche R, Knösche TR, Anwander A. Deterministic and probabilistic tractography based on complex fibre orientation distributions. IEEE Trans Med Imaging 2009; 28: 269-86.
109. Farquharson S, Tournier J-D, Calamante F, Fabinyi G, Schneider-Kolsky M, Jackson GD, et al. White matter fibre tractography: why we need to move beyond DTI. J Neurosurg 2012.
110. Fillard P, Poupon C, Mangin J-F. A novel global tractography algorithm based on an adaptive spin glass model. Med Image Comput Comput Assist Interv 2009; 12: 927-34.
111. Haroon HA, Morris DM, Embleton KV, Alexander DC, Parker GJM. Using the model-based residual bootstrap to quantify uncertainty in fiber orientations from Q-ball analysis. IEEE Trans Med Imaging 2009; 28: 535-50.
112. Hosey T, Williams G, Ansorge R. Inference of multiple fiber orientations in high angular resolution diffusion imaging. Magn Reson Med 2005; 54: 1480-9.
113. Hosey TP, Harding SG, Carpenter TA, Ansorge RE, Williams GB. Application of a probabilistic double-fibre structure model to diffusion-weighted MR images of the human brain. Magn Reson Imaging 2008; 26: 236-45.
114. Jeurissen B, Leemans A, Jones DK, Tournier J-D, Sijbers J. Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution. Hum Brain Mapp 2011; 32: 461-79.
115. Jones DK, Simmons A, Williams SC, Horsfield MA. Non-invasive assessment of axonal fiber connectivity in the human brain via diffusion tensor MRI. Magn Reson Med 1999; 42: 37-41.
116. Jones DK. Determining and visualizing uncertainty in estimates of fiber orientation from diffusion tensor MRI. Magn Reson Med 2003; 49: 7-12.
117. Jones DK, Pierpaoli C. Confidence mapping in diffusion tensor magnetic resonance imaging tractography using a bootstrap approach. Magn Reson Med 2005; 53: 1143-9.
118. Jones DK. Tractography gone wild: probabilistic fibre tracking using the wild bootstrap with diffusion tensor MRI. IEEE Trans Med Imaging 2008; 27: 1268-74.
119. Jones DK. Challenges and limitations of quantifying brain connectivity in vivo with diffusion MRI. Imaging in Medicine 2010; 2: 341-55.
120. Kinoshita M, Yamada K, Hashimoto N, Kato A, Izumoto S, Baba T, et al. Fiber-tracking does not accurately estimate size of fiber bundle in pathological condition: initial neurosurgical experience using neuronavigation and subcortical white matter stimulation. NeuroImage 2005; 25: 424-9.
121. Koch MA, Norris DG, Hund-Georgiadis M. An investigation of functional and anatomical connectivity using magnetic resonance imaging. Neuroimage 2002; 16: 241-50.
122. Kreher BW, Mader I, Kiselev VG. Gibbs tracking: a novel approach for the reconstruction of neuronal pathways. Magn Reson Med 2008; 60: 953-63.
123. Lazar M, Alexander AL. Bootstrap white matter tractography (BOOT-TRAC). Neuroimage 2005; 24: 524-32.
124. Mori S, Crain B, Chacko V, Van Zijl P. Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Ann Neurol 1999; 45: 265-9.
125. Pajevic S, Basser PJ. Parametric and non-parametric statistical analysis of DT-MRI data. J Magn Reson 2003; 161: 1-14.
126. Pannek K, Mathias JL, Rose SE. MRI diffusion indices sampled along streamline trajectories: quantitative tractography mapping. Brain Connectivity 2011a; 1: 331-8.
127. Pannek K, Mathias JL, Bigler ED, Brown G, Taylor JD, Rose SE. The average pathlength map: a diffusion MRI tractography-derived index for studying brain pathology. Neuroimage 2011b; 55: 133-41.
128. Parker GJM, Wheeler-Kingshott CAM, Barker GJ. Estimating distributed anatomical connectivity using fast marching methods and diffusion tensor imaging. IEEE Transactions on Medical Imaging 2002; 21: 505-12.
129. Parker GJM, Haroon HA, Wheeler-Kingshott CAM. A framework for a streamline-based probabilistic index of connectivity (PICo) using a structural interpretation of MRI diffusion measurements. J Magn Reson Imaging 2003; 18: 242-54.
130. Parker G, Alexander D. Probabilistic anatomical connectivity derived from the microscopic persistent angular structure of cerebral tissue. Philos Trans R Soc Lond B Biol Sci 2005; 360(902): 893.
131. Smith RE, Tournier J-D, Calamante F, Connelly A. Anatomicallyconstrained tractography: improved diffusion MRI streamlines tractography through effective use of anatomical information. Neuroimage 2012a; 62: 1924-38.
132. Smith RE, Tournier J-D, Calamante F, Connelly A. SIFT: sphericaldeconvolution informed filtering of tractograms. NeuroImage 2012b; 67: 298-312.
133. Tournier JD, Calamante F, King MD, Gadian DG, Connelly A. Limitations and requirements of diffusion tensor fiber tracking: an assessment using simulations. Magn Reson Med 2002; 47: 701-8.
134. Tournier JD, Calamante F, Connelly A. Robust determination of the fibre orientation distribution in diffusion MRI: non-negativity constrained super-resolved spherical deconvolution. NeuroImage 2007; 35: 1459-72.
135. Tournier J, Calamante F, Connelly A. MRtrix: diffusion tractography in crossing fiber regions. Int J Imaging Syst Technol 2012; 22: 53-66.
136. Wedeen VJ, Wang RP, Schmahmann JD, Benner T, Tseng WYI, Dai G, et al. Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers. Neuroimage 2008; 41: 1267-77.
137. Whitcher B, Tuch DS, Wisco JJ, Sorensen AG, Wang L. Using the wild bootstrap to quantify uncertainty in diffusion tensor imaging. Hum Brain Mapp 2008; 29: 346-62.
138. Alexander DC, Pierpaoli C, Basser PJ, Gee JC. Spatial transformations of diffusion tensor magnetic resonance images. IEEE Trans Med Imaging 2001; 20: 1131-9.
139. Dhollander T, Van Hecke W, Maes F, Sunaert S, Suetens P. Spatial transformations of high angular resolution diffusion imaging data in Q-space. In: MICCAI CDMRI Workshop, 2010. p. 73-83.
140. Douaud G, Jbabdi S, Behrens TEJ, Menke RA, Gass A, Monsch AU, Rao A, Whitcher B, Kindlmann G, Matthews PM, Smith S. DTI measures in crossing-fibre areas: increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer's disease. Neuroimage 2011; 55: 880-90.
141. Hong X, Arlinghaus LR, Anderson AW. Spatial normalization of the fiber orientation distribution based on high angular resolution diffusion imaging data. Magn Reson Med 2009; 61: 1520-7.
142. Raffelt D, Tournier J-D, Fripp J, Connelly A, Crozier S, Salvado O. Symmetric diffeomorphic normalisation of fibre orientation distributions. In: Proceedings of the International Society for Magnetic Resonance inMedicine. Stockholm, Sweden, 2010. p. 3969.
143. Raffelt D, Tournier J, Crozier S, Connelly A, Salvado O. Reorientation of fiber orientation distributions using apodized point spread functions, reorientation of fiber orientation distributions using apodized point spread functions. Magn Reson Med 2012; 67: 844-55.
144. Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, et al. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 2006; 31: 1487-505.
145. Yap P-T, Chen Y, An H, Yang Y, Gilmore JH, Lin W, Shen D. SPHERE: spherical harmonic elastic registration of HARDI data. Neuroimage 2011; 55: 545-56.
146. Assaf Y, Chapman J, Ben-Bashat D, Hendler T, Segev Y, Korczyn AD, et al. White matter changes in multiple sclerosis: correlation of q-space diffusion MRI and 1 H MRS. Magn Reson Imaging 2005; 23: 703-10.
147. Assaf Y, Pasternak O. Diffusion tensor imaging (DTI)-based white matter mapping in brain research: a review. J Mol Neurosci 2008; 34: 51-61.
148. Bozzali M, Parker GJM, Serra L, Embleton K, Gili T, Perri R, et al. Anatomical connectivity mapping: a new tool to assess brain disconnection in Alzheimer's disease. Neuroimage 2011; 54: 2045-51.
149. Ciccarelli O, Catani M, Johansen-Berg H, Clark C, Thompson A. Diffusion-based tractography in neurological disorders: concepts, applications, and future developments. Lancet Neurol 2008; 7: 715-27.
150. Farquharson S, Tournier J-D, Calamante F, Fabinyi G, Schneider-Kolsky M, Jackson GD, et al. White matter fibre tractography: why we need to move beyond DTI. J Neurosurg 2012; 118 (6): 1367-77.
151. Fernandez-Miranda JC, Pathak S, Engh J, Jarbo K, Verstynen T, Yeh F-C, et al. High-definition fiber tractography of the human brain: neuroanatomical validation and neurosurgical applications. Neurosurgery 2012; 71: 430-53.
152. Mayzel-Oreg O, Assaf Y, Gigi A, Ben-Bashat D, Verchovsky R, Mordohovitch M, et al. High b-value diffusion imaging of dementia: application to vascular dementia and alzheimer disease. J Neurol Sci 2007; 257: 105-13.
153. Newton JM, Ward NS, Parker GJM, Deichmann R, Alexander DC, Friston KJ, et al. Non-invasive mapping of corticofugal fibres from multiple motor areas-relevance to stroke recovery. Brain 2006; 129: 1844-58.
154. Raffelt D, Tournier J-D, Rose S, Ridgway GR, Henderson R, Crozier S, et al. Apparent Fibre Density: a novel measure for the analysis of diffusion-weighted magnetic resonance images. Neuroimage 2012; 59: 3976-94.
155. Tournier J-D, Mori S, Leemans A. Diffusion tensor imaging and beyond. Magn Reson Med 2011; 65: 1532-56.