T. Traumatic and B. , 12 TE echo time, p.14

J. Cb-ahn, Z. Kim, and . Cho, High-Speed Spiral-Scan Echo Planar NMR Imaging-I, IEEE Transactions on Medical Imaging, vol.5, issue.1, pp.2-7, 1986.
DOI : 10.1109/TMI.1986.4307732

. Akai-2005-]-hiroyuki, H. Akai, S. Mori, Y. Aoki, N. Masutani et al., Diffusion Tensor Tractography of Gliomatosis Cerebri, Journal of Computer Assisted Tomography, vol.29, issue.1, pp.127-129, 2005.
DOI : 10.1097/01.rct.0000148453.29579.51

C. Daniel, . Alexander, L. Penny, . Hubbard, G. Matt et al., Orientationally invariant indices of axon diameter and density from diffusion MRI, Neuroimage, vol.52, issue.4, pp.1374-1389, 2010.

H. Amari-2007-]-shun-ichi-amari and . Nagaoka, Methods of information geometry, American Mathematical Soc, vol.191, issue.72, p.27, 2007.

L. Jesper, S. Andersson, J. Skare, and . Ashburner, How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging, Neuroimage, vol.20, issue.2, pp.870-888, 2003.

P. Vincent-arsigny, X. Fillard, N. Pennec, and . Ayache, Log-Euclidean metrics for fast and simple calculus on diffusion tensors, Magnetic Resonance in Medicine, vol.52, issue.2, pp.411-421, 2006.
DOI : 10.1002/mrm.20965

V. Arsigny, O. Commowick, N. Ayache, and X. Pennec, A Fast and Log-Euclidean Polyaffine Framework for Locally Linear Registration, Journal of Mathematical Imaging and Vision, vol.8, issue.3, pp.222-238, 2009.
DOI : 10.1016/S1361-8415(01)80026-8
URL : https://hal.archives-ouvertes.fr/inria-00616084

A. Ascherio, L. Kassandra, and . Munger, Environmental risk factors for multiple sclerosis. Part I: The role of infection, Annals of Neurology, vol.66, issue.suppl, pp.288-299, 2007.
DOI : 10.1002/jmv.2158

R. Z. Assaf, . Freidlin, K. Gustavo, . Rohde, J. Peter et al., New modeling and experimental framework to characterize hindered and restricted water diffusion in brain white matter, Magnetic Resonance in Medicine, vol.121, issue.204, pp.965-978, 2004.
DOI : 10.1148/radiology.201.3.8939209
URL : http://onlinelibrary.wiley.com/doi/10.1002/mrm.20274/pdf

Y. Assaf, . Assaf, J. Peter, and . Basser, Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain, NeuroImage, vol.27, issue.1, pp.48-58, 2005.
DOI : 10.1016/j.neuroimage.2005.03.042

T. Assaf-2008-]-yaniv-assaf, Y. Blumenfeld-katzir, . Yovel, J. Peter, and . Basser, Axcaliber: A method for measuring axon diameter distribution from diffusion MRI, Magnetic Resonance in Medicine, vol.14, issue.6, pp.1347-1354, 2008.
DOI : 10.1093/acprof:oso/9780195082937.001.0001

D. Assemlal, L. Tschumperlé, and . Brun, Efficient and robust computation of PDF features from diffusion MR signal, Medical Image Analysis, vol.13, issue.5, pp.715-729, 2009.
DOI : 10.1016/j.media.2009.06.004
URL : https://hal.archives-ouvertes.fr/hal-00410615

B. Brian, . Avants, L. Charles, M. Epstein, . Grossman et al., Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain, Medical image analysis, vol.12, issue.1, pp.26-41, 2008.

A. Banerjee, S. Inderjit, J. Dhillon, S. Ghosh, and . Sra, Clustering on the unit hypersphere using von Mises-Fisher distributions, Journal of Machine Learning Research, vol.6, pp.1345-1382, 2005.

F. Barkhof, M. Filippi, H. David, P. Miller, A. Scheltens et al., Comparison of MRI criteria at first presentation to predict conversion to clinically definite multiple sclerosis, Brain, vol.120, issue.11, pp.2059-2069, 1997.
DOI : 10.1093/brain/120.11.2059

A. Barmpoutis, C. Baba, . Vemuri, R. John, and . Forder, Registration of high angular resolution diffusion MRI images using 4th order tensors, MICCAI, pp.908-915, 2007.

J. Peter, J. Basser, D. Mattiello, and . Lebihan, Estimation of the effective self-diffusion tensor from the NMR spin echo, Journal of Magnetic Resonance, Series B, vol.103, issue.3, pp.247-254, 1994.

J. Peter, C. Basser, and . Pierpaoli, Microstructural and Physiological Features of Tissues Elucidated by Quantitative Diffusion-Tensor MRI, Journal of Magnetic Resonance, Series B, vol.111, issue.3, pp.209-219, 1996.

J. Peter, S. Basser, and . Pajevic, Statistical artifacts in diffusion tensor MRI (DT-MRI) caused by background noise, Magnetic Resonance in Medicine, vol.44, issue.1, pp.41-50, 2000.

. Batchelor, . Moakher, F. Atkinson, A. Calamante, and . Connelly, A rigorous framework for diffusion tensor calculus, Magnetic Resonance in Medicine, vol.103, issue.1, pp.221-225, 2005.
DOI : 10.1007/978-1-4612-5128-6
URL : http://onlinelibrary.wiley.com/doi/10.1002/mrm.20334/pdf

E. Timothy, . Behrens, M. Woolrich, H. Jenkinson, R. Johansen-berg et al., Characterization and propagation of uncertainty in diffusion-weighted MR imaging, Magnetic resonance in medicine, vol.50, issue.37, pp.1077-1088, 2003.

]. Berman, Diffusion MR Tractography As a Tool for Surgical Planning, Magnetic Resonance Imaging Clinics of North America, vol.17, issue.2, pp.205-214, 2009.
DOI : 10.1016/j.mric.2009.02.002

C. James, R. Bezdek, W. Ehrlich, and . Full, FCM: The fuzzy c-means clustering algorithm, Computers & Geosciences, vol.10, issue.2-3, pp.191-203, 1984.

B. Bilgic, K. Setsompop, J. Cohen-adad, A. Yendiki, L. Lawrence et al., Accelerated diffusion spectrum imaging with compressed sensing using adaptive dictionaries, Magnetic Resonance in Medicine, vol.67, issue.6, pp.1747-1754, 2012.
DOI : 10.1002/mrm.23097
URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3504650/pdf

N. Bodammer, J. Kaufmann, M. Kanowski, and C. Tempelmann, Eddy current correction in diffusion-weighted imaging using pairs of images acquired with opposite diffusion gradient polarity, Magnetic Resonance in Medicine, vol.42, issue.1, pp.188-193, 2004.
DOI : 10.1002/mrm.10690

]. Bonkowsky, . Nelson, . Kingston, M. Filloux, R. Mundorff et al., The burden of inherited leukodystrophies in children, Neurology, vol.75, issue.8, pp.718-725, 2010.
DOI : 10.1212/WNL.0b013e3181eee46b

J. Daniel and . Boorstin, The dicsoverers: A history of man's search to know his world and himself. Paperback, 1985.

M. William and . Boothby, An introduction to differentiable manifolds and riemannian geometry Academic press, 1986.

. Bowtell, . Djo-mcintyre, P. Mj-commandre, P. Glover, and . Mansfield, Correction of geometric distortion in echo planar images, In Soc. Magn. Res. Abstr, vol.2, p.411, 1994.

]. , N. Bracewell, N. Ronald, and . Bracewell, The Fourier Transform and Its Applications, American Journal of Physics, vol.34, issue.8, 1986.
DOI : 10.1119/1.1973431

S. Paul, . Bradley, M. Usama, and . Fayyad, Refining Initial Points for K- Means Clustering, ICML, pp.91-99, 1998.

A. Peter, O. Brex, . Ciccarelli, I. Jonathon, M. O-'riordan et al., A longitudinal study of abnormalities on MRI and disability from multiple sclerosis, New England Journal of Medicine, vol.346, issue.3, pp.158-164, 2002.

R. Brown and . Xxvii, A brief account of microscopical observations made in the months of on the particles contained in the pollen of plants; and on the general existence of active molecules in organic and inorganic bodies, Philosophical Magazine Series, vol.2, issue.4 21, pp.161-173, 1827.

]. Brozek and A. Henschel, Techniques for measuring body composition National Academy of Sciences-National Research Council, Conference on Techniques for Measuring Body Composition, 1959.

A. James, . Brunberg, L. Thomas, . Chenevert, . Mckeever et al., In vivo MR determination of water diffusion coefficients and diffusion anisotropy: correlation with structural alteration in gliomas of the cerebral hemispheres, American Journal of Neuroradiology, vol.16, issue.106, pp.361-371, 1995.

D. Matthew, M. Budde, . Xie, H. Anne, S. Cross et al., Axial diffusivity is the primary correlate of axonal injury in the experimental autoimmune encephalomyelitis spinal cord: a quantitative pixelwise analysis, Journal of Neuroscience, vol.29, issue.9, pp.2805-2813, 2009.

J. Peter, . Burt, H. Edward, and . Adelson, The Laplacian pyramid as a compact image code, Communications, IEEE Transactions on, vol.31, issue.4, pp.532-540, 1983.

M. Cabezas, A. Oliver, X. Lladó, J. Freixenet, and M. Bach-cuadra, A review of atlas-based segmentation for magnetic resonance brain images. Computer methods and programs in biomedicine, pp.158-177, 2011.

. Calvo, . Palacios, J. Delgado, P. Ruiz-cabello, O. Hernandez et al., High-resolution MRI detects cartilage swelling at the early stages of experimental osteoarthritis, Osteoarthritis and Cartilage, vol.9, issue.5, pp.463-472, 2001.
DOI : 10.1053/joca.2001.0413

Y. Herman, . Carr, M. Edward, and . Purcell, Effects of diffusion on free precession in nuclear magnetic resonance experiments, p.630, 1954.

K. Maxime-chamberland, D. Whittingstall, D. Fortin, M. Mathieu, and . Descoteaux, Real-time multi-peak tractography for instantaneous connectivity display, Frontiers in Neuroinformatics, vol.3, issue.8, pp.59-2014, 2014.
DOI : 10.1002/mrm.20279

C. Hsuan and . Fitzpatrick, A technique for accurate magnetic resonance imaging in the presence of field inhomogeneities, IEEE Transactions on medical imaging, vol.11, issue.3, pp.319-329, 1992.

L. Chang, K. Derek, C. Jones, and . Pierpaoli, RESTORE: Robust estimation of tensors by outlier rejection, Magnetic Resonance in Medicine, vol.6, issue.5, pp.1088-1095, 2005.
DOI : 10.1002/0471725250
URL : http://onlinelibrary.wiley.com/doi/10.1002/mrm.20426/pdf

R. Chaudhuri, G. Daniel, . Healy, H. Anthony, and . Schapira, Non-motor symptoms of Parkinson's disease: diagnosis and management, The Lancet Neurology, vol.5, issue.3, pp.235-245, 2006.
DOI : 10.1016/S1474-4422(06)70373-8

]. J. Chung, M. H. In, S. H. Oh, M. Zaitsev, O. Speck et al., An improved PSF mapping method for EPI distortion correction in human brain at ultra high field (7T), Magnetic Resonance Materials in Physics, Biology and Medicine, vol.20, issue.1, pp.179-190, 2011.
DOI : 10.1007/s10334-006-0067-6

O. Ciccarelli, M. Catani, H. Johansen-berg, C. Clark, and A. Thompson, Diffusion-based tractography in neurological disorders: concepts, applications, and future developments, The Lancet Neurology, vol.7, issue.8, pp.715-727, 2008.
DOI : 10.1016/S1474-4422(08)70163-7

A. Chris, D. L. Clark, and . Bihan, Water diffusion compartmentation and anisotropy at high b values in the human brain, Magnetic Resonance in Medicine, vol.44, issue.6, pp.852-859, 2000.

A. Ronald, . Cohen, H. Lawrence, and . Sweet, Brain imaging in behavioral medicine and clinical neuroscience, 2010.

O. Commowick, A. Maarouf, J. Ferré, J. Ranjeva, G. Edan et al., Diffusion MRI abnormalities detection with orientation distribution functions: A multiple sclerosis longitudinal study, Medical Image Analysis, vol.22, issue.1, pp.114-123, 2015.
DOI : 10.1016/j.media.2015.02.005
URL : https://hal.archives-ouvertes.fr/inserm-01134107

A. Compston, H. Lassmann, and I. Mcdonald, The story of multiple sclerosis. McAlpine's Multiple Sclerosis, 1998.

F. Cotton, . Kremer, . Hannoun, V. Vukusic, and . Dousset, OFSEP, a nationwide cohort of people with multiple sclerosis: Consensus minimal MRI protocol, Journal of Neuroradiology, vol.42, issue.3, pp.133-140, 2015.
DOI : 10.1016/j.neurad.2014.12.001
URL : https://hal.archives-ouvertes.fr/hal-01378309

A. Crimi, O. Commowick, A. Maarouf, J. Ferré, E. Bannier et al., Predictive Value of Imaging Markers at Multiple Sclerosis Disease Onset Based on Gadolinium- and USPIO-Enhanced MRI and Machine Learning, PLoS ONE, vol.23, issue.4, pp.93024-2014, 2014.
DOI : 10.1371/journal.pone.0093024.t003
URL : https://hal.archives-ouvertes.fr/hal-00971524

J. Walter and . Culver, On the Existence and Uniqueness of the Real Logarithm of a Matrix, Proceedings of the American Mathematical Society, vol.17, issue.5, pp.1146-1151, 1966.

R. Damadian, L. Minkoff, M. Goldsmith, M. Stanford, and J. Koutcher, Field focusing nuclear magnetic resonance (FONAR): visualization of a tumor in a live animal, Science, vol.194, issue.4272, pp.1430-1432, 1976.
DOI : 10.1126/science.1006309

D. Meyer, On the strategic origin of Brownian motion in finance, International Journal of Game Theory, vol.31, issue.2, pp.285-319, 2003.
DOI : 10.1007/s001820200120
URL : https://hal.archives-ouvertes.fr/hal-00259737

]. Descoteaux, E. Angelino, S. Fitzgibbons, and R. Deriche, Regularized, fast, and robust analytical Q-ball imaging, Magnetic Resonance in Medicine, vol.17, issue.3, pp.497-510, 2007.
DOI : 10.1017/CBO9781107325937

]. Descoteaux, R. Deriche, R. Thomas, A. Knosche, and . Anwander, Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions, IEEE Transactions on Medical Imaging, vol.28, issue.2, pp.269-286, 2009.
DOI : 10.1109/TMI.2008.2004424

]. Descoteaux, R. Deriche, D. L. Bihan, J. Mangin, and C. Poupon, Multiple q-shell diffusion propagator imaging, Medical Image Analysis, vol.15, issue.4, pp.603-621, 2011.
DOI : 10.1016/j.media.2010.07.001
URL : https://hal.archives-ouvertes.fr/hal-00531473

J. Kenneth and . Ellis, Human body composition: in vivo methods, Physiological reviews, vol.80, issue.2, pp.649-680, 2000.

M. Filippi, G. Iannucci, M. Cercignani, M. A. Rocca, A. Pratesi et al., A Quantitative Study of Water Diffusion in Multiple Sclerosis Lesions and Normal-Appearing White Matter Using Echo-Planar Imaging, Archives of Neurology, vol.57, issue.7, pp.1017-1021, 2000.
DOI : 10.1001/archneur.57.7.1017

. Filippi, . Cercignani, M. Inglese, G. Horsfield, and . Comi, Diffusion tensor magnetic resonance imaging in multiple sclerosis, Neurology, vol.56, issue.3, pp.304-311, 2001.
DOI : 10.1212/WNL.56.3.304

T. Fletcher and S. Joshi, Principal Geodesic Analysis on Symmetric Spaces: Statistics of Diffusion Tensors, Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis, pp.87-98, 2004.
DOI : 10.1007/978-3-540-27816-0_8

S. Michael, K. Floater, and . Hormann, Surface parameterization: a tutorial and survey, Advances in multiresolution for geometric modelling, pp.157-186, 2005.

C. Ford, B. David, E. Hackney, M. Lavi, U. Phillips et al., Dependence of apparent diffusion coefficients on axonal spacing, membrane permeability, and diffusion time in spinal cord white matter, Journal of Magnetic Resonance Imaging, vol.14, issue.4, pp.775-782, 1998.
DOI : 10.1002/jmri.1880080405

K. Amanda, . Funai, A. Jeffrey, . Fessler, T. Desmond et al., Regularized field map estimation in MRI, IEEE transactions on medical imaging, vol.27, issue.10, pp.1484-1494, 2008.

S. Gandhi, . Gandhi, W. Nicholas, and . Wood, Molecular pathogenesis of Parkinson's disease, Human Molecular Genetics, vol.14, issue.18, pp.2749-2755, 2005.
DOI : 10.1093/hmg/ddi308

R. Gebker, O. Gomaa, B. Schnackenburg, J. Rebakowski, E. Fleck et al., Comparison of different MRI techniques for the assessment of thoracic aortic pathology: 3D contrast enhanced MR angiography, turbo spin echo and balanced steady state free precession. The international journal of cardiovascular imaging, pp.747-756, 2007.

]. Geng and J. Thomas, Rosset al. Diffusion MRI Registration Using Orientation Distribution Functions, IPMI '09, pp.626-637, 2009.

]. Geng, J. Thomas, W. Ross, H. Zhan, Y. Gu et al., Diffusion MRI Registration Using Orientation Distribution Functions, International Conference on Information Processing in Medical Imaging, pp.626-637, 2009.
DOI : 10.1109/ISBI.2008.4541092
URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3860746/pdf

. Gerstl, . Eng, M. Hayman, P. Tavaststjerna, and . Bond, ON THE COMPOSITION OF HUMAN MYELIN, Journal of Neurochemistry, vol.10, issue.869, pp.661-670, 1967.
DOI : 10.1111/j.1471-4159.1967.tb09570.x

]. Goh, C. Lenglet, P. M. Thompson, and R. Vidal, A nonparametric Riemannian framework for processing high angular resolution diffusion images and its applications to ODF-based morphometry, NeuroImage, vol.56, issue.3, 2011.
DOI : 10.1016/j.neuroimage.2011.01.053
URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3085642/pdf

]. Goh, C. Lenglet, M. Paul, R. Thompson, and . Vidal, A nonparametric Riemannian framework for processing high angular resolution diffusion images and its applications to ODF-based morphometry, NeuroImage, vol.56, issue.3, pp.1181-1201, 2011.
DOI : 10.1016/j.neuroimage.2011.01.053
URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3085642/pdf

G. Paccard, Miriam Gómez Paccard Étude de la variation de la direction et de l'intensité du champ géomagnétique en Espagne durant les deux derniers millénaires, Rennes, vol.1, 2006.

A. Guimond, J. Meunier, and J. Thirion, Average Brain Models: A Convergence Study, Computer Vision and Image Understanding, vol.77, issue.2, pp.192-210, 2000.
DOI : 10.1006/cviu.1999.0815
URL : https://hal.archives-ouvertes.fr/inria-00072934

J. Donald, . Hagler, E. Mazyar, J. Ahmadi, D. Kuperman et al., Automated white-matter tractography using a probabilistic diffusion tensor atlas: Application to temporal lobe epilepsy, Human brain mapping, vol.30, issue.5, pp.1535-1547, 2009.

L. Erwin and . Hahn, Spin echoes Physical review, 1950.

C. Brian and . Hall, Lie groups, lie algebras, and representations: an elementary introduction, 2015.

M. Robert, . Haralick, G. Linda, and . Shapiro, Image segmentation techniques Computer vision, graphics, and image processing, pp.100-132, 1985.

R. Kenneth, . Harris, A. Lawrence, and . Woolf, Pressure and temperature dependence of the self diffusion coefficient of water and oxygen-18 water, Journal of the Chemical Society, Faraday Transactions Physical Chemistry in Condensed Phases, vol.1, issue.76, pp.377-385, 1980.

A. John, . Hartigan, A. Manchek, and . Wong, Algorithm AS 136: A kmeans clustering algorithm, Journal of the Royal Statistical Society. Series C (Applied Statistics), vol.28, issue.1, pp.100-108, 1979.

H. Hartung, C. Bernd, and . Kieseier, The role of matrix metalloproteinases in autoimmune damage to the central and peripheral nervous system, Journal of Neuroimmunology, vol.107, issue.2, pp.140-147, 2000.
DOI : 10.1016/S0165-5728(00)00225-3

V. Hartwig, G. Giovannetti, N. Vanello, M. Lombardi, L. Landini et al., Biological Effects and Safety in Magnetic Resonance Imaging: A Review, International Journal of Environmental Research and Public Health, vol.27, issue.3, pp.1778-1798, 2009.
DOI : 10.1007/s10669-007-9064-1

K. Anna, T. Hedström, L. Olsson, and . Alfredsson, High body mass index before age 20 is associated with increased risk for multiple sclerosis in both men and women, Multiple Sclerosis Journal, vol.18, issue.9, pp.1334-1336, 2012.

. Hennig, H. Nauerth, and . Friedburg, RARE imaging: A fast imaging method for clinical MR, Magnetic Resonance in Medicine, vol.10, issue.6, pp.823-833, 1986.
DOI : 10.1063/1.1716296

M. Stephen, Y. Hesseltine, M. Ge, and . Law, Applications of diffusion tensor imaging and fiber tractography, Applied Radiology, vol.36, issue.5, p.8, 2007.

C. Claus, H. Hilgetag, and . Barbas, Are there ten times more glia than neurons in the brain?, Brain Structure and Function, vol.213, issue.4-5, pp.365-366, 2009.

J. Samantha, S. Holdsworth, . Skare, D. Rexford, R. Newbould et al., Readoutsegmented EPI for rapid high resolution diffusion imaging at 3T, European journal of radiology, vol.65, issue.1, pp.36-46, 2008.

]. Holland, J. M. Kuperman, M. Anders, and . Dale, Efficient correction of inhomogeneous static magnetic field-induced distortion in Echo Planar Imaging, NeuroImage, vol.50, issue.1, pp.175-183, 2010.
DOI : 10.1016/j.neuroimage.2009.11.044

I. Andrei, . Holodny, H. Theodore, M. Schwartz, W. Ollenschleger et al., Tumor involvement of the corticospinal tract: diffusion magnetic resonance tractography with intraoperative correlation: Case illustration, Journal of neurosurgery, vol.95, issue.6, pp.1082-1082, 2001.

J. Carl and . Huberty, Multiple correlation versus multiple regression, Educational and Psychological Measurement, vol.63, issue.2, pp.271-278, 2003.

A. Scott, . Huettel, W. Allen, G. Song, and . Mccarthy, Functional magnetic resonance imaging, 2004.

M. In, O. Posnansky, E. B. Beall, J. Mark, O. Lowe et al., Distortion Correction in EPI Using an Extended PSF Method with a Reversed Phase Gradient Approach, PLOS ONE, vol.6, issue.2, p.2015, 2015.
DOI : 10.1371/journal.pone.0116320.g008

]. M. Irfanoglu, P. Modi, A. Nayak, E. B. Hutchinson, J. Sarlis et al., DR-BUDDI (Diffeomorphic Registration for Blip-Up blip-Down Diffusion Imaging) method for correcting echo planar imaging distortions, NeuroImage, vol.106, pp.284-299, 2015.
DOI : 10.1016/j.neuroimage.2014.11.042
URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4286283/pdf

R. Clifford, . Jack, S. David, . Knopman, J. William et al., Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade, The Lancet Neurology, vol.9, issue.1, pp.119-128, 2010.

K. Anil, N. Jain, . Murty, J. Patrick, and . Flynn, Data clustering: a review, ACM computing surveys (CSUR), vol.31, issue.3, pp.264-323, 1999.

]. P. Jezzard and R. S. Balaban, Correction for geometric distortion in echo planar images from B0 field variations, Magnetic Resonance in Medicine, vol.29, issue.1, pp.65-73, 1995.
DOI : 10.2214/ajr.149.2.245

A. S. Peter-jezzard, C. Barnett, and . Pierpaoli, Characterization of and correction for eddy current artifacts in echo planar diffusion imaging, Magnetic Resonance in Medicine, vol.34, issue.5, pp.801-812, 1998.
DOI : 10.1148/radiology.177.2.2217777

T. E. Johansen-bergberg and . Behrens, Diffusion mri: From quantitative measurement to in-vivo neuroanatomy, pp.18-23, 2009.

J. Timothy and E. Behrens, Diffusion mri: from quantitative measurement to in vivo neuroanatomy, 2013.

K. Derek, . Jones, J. Peter, and . Basser, Squashing peanuts and smashing pumpkins": How noise distorts diffusion-weighted MR data, Magnetic Resonance in Medicine, vol.52, issue.5, pp.979-993, 2004.

T. Kanungo, M. David, . Mount, S. Nathan, C. D. Netanyahu et al., An efficient k-means clustering algorithm: analysis and implementation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.7, pp.881-892, 2002.
DOI : 10.1109/TPAMI.2002.1017616

S. Wilfrid and . Kendall, Probability, convexity, and harmonic maps with small image I: uniqueness and fine existence, Proceedings of the London Mathematical Society, pp.371-406, 1990.

R. S. Gordon-kindlmann, J. Estepar, M. Niethammer, S. Haker, and C. Westin, Geodesic-Loxodromes for Diffusion Tensor Interpolation and Difference Measurement, International Conference on Medical Image Computing and Computer-Assisted Intervention, pp.1-9, 2007.
DOI : 10.1007/978-3-540-75757-3_1

A. Klein, J. Andersson, A. Babak, J. Ardekani, B. Ashburner et al., Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration, NeuroImage, vol.46, issue.3, pp.786-802, 2009.
DOI : 10.1016/j.neuroimage.2008.12.037
URL : https://hal.archives-ouvertes.fr/inserm-00360790

L. Cheng-guan-koay, . Chang, D. John, C. Carew, . Pierpaoli et al., A unifying theoretical and algorithmic framework for least squares methods of estimation in diffusion tensor imaging, Journal of Magnetic Resonance, vol.182, issue.1, pp.115-125, 2006.
DOI : 10.1016/j.jmr.2006.06.020

C. Koch, Biophysics of computation: information processing in single neurons, 2004.

. Kötter, Neuroscience databases: tools for exploring brain structure-function relationships, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.356, issue.1412, pp.1111-1120, 2001.
DOI : 10.1098/rstb.2001.0902

T. Kreis, B. Ernst, and . Ross, Absolute Quantitation of Water and Metabolites in the Human Brain. II. Metabolite Concentrations, Journal of Magnetic Resonance, Series B, vol.102, issue.1, pp.9-19, 1993.
DOI : 10.1006/jmrb.1993.1056

A. Kutzelnigg, C. F. Lucchinetti, C. Stadelmann, W. Brück, H. Rauschka et al., Cortical demyelination and diffuse white matter injury in multiple sclerosis, Brain, vol.128, issue.11, pp.2705-2712, 2005.
DOI : 10.1093/brain/awh641
URL : https://academic.oup.com/brain/article-pdf/128/11/2705/971736/awh641.pdf

H. Robert, . Laatsch, W. Marian, S. Kies, E. Gordon et al., The encephalomyelitic activity of myelin isolated by ultracentrifugation, The Journal of experimental medicine, vol.115, issue.4, p.777, 1962.

D. Lambrechts, E. Storkebaum, M. Morimoto, J. Del-favero, F. Desmet et al., VEGF is a modifier of amyotrophic lateral sclerosis in mice and humans and protects motoneurons against ischemic death, Nature Genetics, vol.34, issue.4, pp.383-394, 2003.
DOI : 10.1038/ng1211

L. Jack, . Lancaster, G. Marty, . Woldorff, M. Lawrence et al., Automated Talairach atlas labels for functional brain mapping, Human brain mapping, vol.10, issue.3, pp.120-131, 2000.

P. Bennett-landman, J. Bazin, and . Prince, Diffusion tensor estimation by maximizing Rician likelihood, Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on, pp.1-8, 2007.

L. Bihan-denis-le-bihan, E. Breton, D. Lallemand, and P. Grenier, MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders., Radiology, vol.161, issue.2, pp.401-407, 1986.
DOI : 10.1148/radiology.161.2.3763909

L. Bihan-2012-]-denis-le-bihan and H. , Diffusion MRI at 25: Exploring brain tissue structure and function, NeuroImage, vol.61, issue.2, pp.324-341
DOI : 10.1016/j.neuroimage.2011.11.006

M. John and . Lee, Riemannian manifolds: an introduction to curvature, 2006.

M. Julie, L. A. Legler, . Gloeckler-ries, A. Malcolm, . Smith et al., Brain and other central nervous system cancers: recent trends in incidence and mortality, Journal of the National Cancer Institute, vol.91, issue.16, pp.1382-1390, 1999.

C. Lenglet, M. Rousson, R. Deriche, and O. Faugeras, Statistics on the Manifold of Multivariate Normal Distributions: Theory and Application to Diffusion Tensor MRI Processing, Journal of Mathematical Imaging and Vision, vol.12, issue.1, pp.423-444, 2006.
DOI : 10.1007/s10851-006-6897-z

. Lentner, Units of Measurement, Body Fluids, Composition of the Body, Geigy Scientific Tables. Nutrition, vol.1, 1981.

N. Lepore, C. Lepore, Y. Brun, M. Chou, R. A. Chiang et al., Generalized Tensor-Based Morphometry of HIV/AIDS Using Multivariate Statistics on Deformation Tensors, IEEE Transactions on Medical Imaging, vol.27, issue.1, pp.129-141, 2008.
DOI : 10.1109/TMI.2007.906091

A. Likas, N. Vlassis, and J. J. Verbeek, The global k-means clustering algorithm, Pattern Recognition, vol.36, issue.2, pp.451-461, 2003.
DOI : 10.1016/S0031-3203(02)00060-2
URL : https://hal.archives-ouvertes.fr/inria-00321515

]. Liu, P. Van-gelderen, J. Duyn, T. Chrit, and . Moonen, Single-shot diffusion MRI of human brain on a conventional clinical instrument, Magnetic Resonance in Medicine, vol.77, issue.5, pp.671-677, 1996.
DOI : 10.1148/radiology.181.2.1924811

D. Fred, . Lublin, C. Stephen, and . Reingold, Defining the clinical course of multiple sclerosis results of an international survey, Neurology, vol.46, issue.4, pp.907-911, 1996.

C. Lucchinetti, W. Bruck, J. Parisi, B. Scheithauer, and M. Rodriguez, Heterogeneity of multiple sclerosis lesions: Implications for the pathogenesis of demyelination, Annals of Neurology, vol.143, issue.6, pp.707-717, 2000.
DOI : 10.1159/000111858

F. Mark, . Lythgoe, L. Albert, F. Busza, . Calamante et al., Effects of diffusion anisotropy on lesion delineation in a rat model of cerebral ischemia, Magnetic resonance in medicine, vol.38, issue.4, pp.662-668, 1997.

E. Stephan, Y. Maier, . Sun, V. Robert, and . Mulkern, Diffusion imaging of brain tumors, NMR in biomedicine, vol.23, issue.7, pp.849-864, 2010.

G. Stephane and . Mallat, A theory for multiresolution signal decomposition: the wavelet representation, IEEE transactions on pattern analysis and machine intelligence, vol.11, issue.7, pp.674-693, 1989.

I. Markiewicz and B. Lukomska, The role of astrocytes in the physiology and pathology of the central nervous system, Acta Neurobiol Exp (Wars), vol.66, issue.4, pp.343-358, 2006.

]. Marner, J. R. Nyengaard, Y. Tang, and B. Pakkenberg, Marked loss of myelinated nerve fibers in the human brain with age, The Journal of Comparative Neurology, vol.18, issue.2, pp.144-152, 2003.
DOI : 10.1002/cne.10714

]. Mcgraw, C. Baba, Y. Vemuri, M. Chen, T. Rao et al., DT-MRI denoising and neuronal fiber tracking, Medical Image Analysis, vol.8, issue.2, pp.95-111, 2004.
DOI : 10.1016/j.media.2003.12.001

]. T. Mcgraw and B. C. Vemuri, Von Mises-Fisher Mixture Model of the Diffusion ODF, 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., pp.65-73, 2006.
DOI : 10.1109/ISBI.2006.1624853

I. Marion, . Menzel, T. Ek, K. Tan, . Khare et al., Accelerated diffusion spectrum imaging in the human brain using compressed sensing, Magnetic Resonance in Medicine, vol.66, issue.5, pp.1226-1233, 2011.

E. Mervaala, . Föhr, M. Könönen, P. Valkonen-korhonen, . Vainio et al., Quantitative MRI of the hippocampus and amygdala in severe depression, Psychological Medicine, vol.30, issue.1, pp.117-125, 2000.
DOI : 10.1017/S0033291799001567

H. Craig, . Meyer, S. Bob, . Hu, G. Dwight et al., Fast spiral coronary artery imaging, Magnetic Resonance in Medicine, vol.28, issue.2, pp.202-213, 1992.

S. Vladimír-mlynárik, E. Gruber, and . Moser, relaxation times of human brain metabolites at 3 Tesla, NMR in Biomedicine, vol.5, issue.5, pp.325-331, 2001.
DOI : 10.1002/nbm.1940050406

]. P. Morgan, R. W. Bowtell, D. J. Mcintyre, and B. S. Worthington, Correction of spatial distortion in EPI due to inhomogeneous static magnetic fields using the reversed gradient method, Journal of Magnetic Resonance Imaging, vol.39, issue.4, pp.499-507, 2004.
DOI : 10.1007/978-3-642-80443-4

. Mori-1999-]-susumu, . Mori, J. Barbara, . Crain, P. Vadappuram et al., Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging, Annals of Neurology, vol.40, issue.2, pp.265-269, 1999.
DOI : 10.1002/mrm.1910400403

Y. Moseley, . Cohen, . Mintorovitch, . Chileuitt, . Shimizu et al., Early detection of regional cerebral ischemia in cats: Comparison of diffusion- and T2-weighted MRI and spectroscopy, Magnetic Resonance in Medicine, vol.7, issue.2, pp.330-346, 1990.
DOI : 10.1038/jcbfm.1987.127

. Neuman, Spin echo of spins diffusing in a bounded medium, The Journal of Chemical Physics, vol.60, issue.11, pp.4508-4511, 1974.
DOI : 10.1063/1.1670306

Y. Andrew, . Ng, I. Michael, Y. Jordan, and . Weiss, On spectral clustering: Analysis and an algorithm Advances in neural information processing systems, pp.849-856, 2002.

A. Nordberg, O. Juha, A. Rinne, B. Kadir, and . Långström, The use of PET in Alzheimer disease, Nature Reviews Neurology, vol.36, issue.2, pp.78-87, 2010.
DOI : 10.1097/00019442-200303000-00007

S. Orton, M. Blanca, I. M. Herrera, W. Yee, . Valdar et al., Sex ratio of multiple sclerosis in Canada: a longitudinal study, The Lancet Neurology, vol.5, issue.11, pp.932-936, 2006.
DOI : 10.1016/S1474-4422(06)70581-6

R. Anwar, G. Padhani, D. Liu, . Mu-koh, L. Thomas et al., Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations, Neoplasia, vol.11, issue.2, pp.102-125, 2009.

H. Pakkenberg and . Gundersen, Total number of neurons and glial cells in human brain nuclei estimated by the disector and the fractionator, Journal of Microscopy, vol.134, issue.1, pp.1-20, 1988.
DOI : 10.1111/j.1365-2818.1984.tb02501.x

R. Nikhil, K. Pal, . Pal, M. James, . Keller et al., A possibilistic fuzzy c-means clustering algorithm, IEEE Transactions on Fuzzy Systems, vol.13, issue.4, pp.517-530, 2005.

E. Panagiotaki, T. Schneider, B. Siow, G. Matt, . Hall et al., Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison, NeuroImage, vol.59, issue.3, pp.2241-2254, 2012.
DOI : 10.1016/j.neuroimage.2011.09.081

H. Park and C. Jun, A simple and fast algorithm for K-medoids clustering. Expert systems with applications, pp.3336-3341, 2009.
DOI : 10.1016/j.eswa.2008.01.039

H. Parmar, Y. Sitoh, and T. Yeo, Combined Magnetic Resonance Tractography and Functional Magnetic Resonance Imaging in Evaluation of Brain Tumors Involving the Motor System, Journal of Computer Assisted Tomography, vol.28, issue.4, pp.551-556, 2004.
DOI : 10.1097/00004728-200407000-00019

]. Pasternak, N. Sochen, and Y. Gur, Free water elimination and mapping from diffusion MRI, Magnetic Resonance in Medicine, vol.58, issue.3, pp.717-730, 2009.
DOI : 10.1161/01.STR.32.8.1897
URL : http://onlinelibrary.wiley.com/doi/10.1002/mrm.22055/pdf

]. Pasternak, N. Sochen, J. Peter, and . Basser, The effect of metric selection on the analysis of diffusion tensor MRI data, NeuroImage, vol.49, issue.3, pp.2190-2204, 2010.
DOI : 10.1016/j.neuroimage.2009.10.071

S. Jane, . Paulsen, . Ready, M. Hamilton, J. Mega et al., Neuropsychiatric aspects of Huntington's disease, Journal of Neurology Neurosurgery & Psychiatry, vol.71, issue.3, pp.310-314, 2001.

C. Pierpaoli, J. Peter, and . Basser, Toward a quantitative assessment of diffusion anisotropy, Magnetic Resonance in Medicine, vol.222, issue.6, pp.893-906, 1996.
DOI : 10.1148/radiology.177.2.2217776

S. Pluchino, A. Quattrini, E. Brambilla, A. Gritti, G. Salani et al., Injection of adult neurospheres induces recovery in a chronic model of multiple sclerosis, Nature, vol.156, issue.6933, pp.688-694, 2003.
DOI : 10.4049/jimmunol.167.3.1821

H. Chris, . Polman, C. Stephen, G. Reingold, M. Edan et al., Diagnostic criteria for multiple sclerosis: 2005 revisions to the "McDonald Criteria, Annals of neurology, vol.58, issue.6, pp.840-846, 2005.

A. David, . Porter, M. Robin, and . Heidemann, High resolution diffusionweighted imaging using readout-segmented echo-planar imaging, parallel imaging and a two-dimensional navigator-based reacquisition, Magnetic resonance in medicine, vol.62, issue.106, pp.468-475, 2009.

J. Michael and . Powell, The BOBYQA algorithm for bound constrained optimization without derivatives, 2009.

M. Edward, H. Purcell, . Torrey, V. Robert, and . Pound, Resonance absorption by nuclear magnetic moments in a solid, p.37, 1946.

J. David-raffelt, J. Tournier, S. Fripp, A. Crozier, O. Connelly et al., Symmetric diffeomorphic registration of fibre orientation distributions, NeuroImage, vol.56, issue.3, pp.1171-1180, 2011.
DOI : 10.1016/j.neuroimage.2011.02.014

]. P. Reber, E. C. Wong, R. B. Buxton, and L. R. Frank, Correction of off resonance-related distortion in echo-planar imaging using EPI-based field maps, Magnetic Resonance in Medicine, vol.28, issue.2, pp.328-330, 1998.
DOI : 10.1002/mrm.1910390223

R. Reese, R. Heid, V. Weisskoff, and . Wedeen, Reduction of eddy-current-induced distortion in diffusion MRI using a twice-refocused spin echo, Magnetic Resonance in Medicine, vol.111, issue.1, pp.177-182, 2003.
DOI : 10.1002/mrm.10308

]. M. Robson, J. C. Gore, and R. T. Constable, Measurement of the point spread function in MRI using constant time imaging, Magnetic Resonance in Medicine, vol.5, issue.5, pp.733-740, 1997.
DOI : 10.1148/93.2.257

. Rohde, . Rohde, . Barnett, S. Basser, C. Marenco et al., Comprehensive approach for correction of motion and distortion in diffusion-weighted MRI, Magnetic Resonance in Medicine, vol.15, issue.1, pp.103-114, 2004.
DOI : 10.1148/radiology.201.3.8939209

G. Romano, . Minniti, . Mastronardi, L. Ferrante, A. Fantozzi et al., Pre-surgical planning and MR-tractography utility in brain tumour resection, European Radiology, vol.100, issue.Suppl. 1, p.2798, 2009.
DOI : 10.1227/01.NEU.0000144842.18771.30

]. J. Ruiz-alzola-2002a, C. Ruiz-alzola, and . Westin, Nonrigid registration of 3D tensor medical data, Medical Image Analysis, vol.6, issue.2, pp.143-161, 2002.
DOI : 10.1016/S1361-8415(02)00055-5

C. Ruiz-alzola-2002b-]-juan-ruiz-alzola, . Westin, K. Simon, C. Warfield, S. Alberola et al., Nonrigid registration of 3D tensor medical data, Medical Image Analysis, vol.6, issue.2, pp.143-161, 2002.
DOI : 10.1016/S1361-8415(02)00055-5

K. Sandrasegaran, A. Rajesh, A. Daniel, J. Rushing, . Rydberg et al., Gastrointestinal stromal tumors: CT and MRI findings, European Radiology, vol.3, issue.11, pp.1407-1414, 2005.
DOI : 10.2214/ajr.173.1.10397126

]. Sanguinetti, J. Laidler, D. Neil, and . Lawrence, Automatic Determination of the Number of Clusters Using Spectral Algorithms, 2005 IEEE Workshop on Machine Learning for Signal Processing, pp.55-60, 2005.
DOI : 10.1109/MLSP.2005.1532874

W. Wahren, Atlas for stereotaxy of the human brain: with an accompanying guide. Thieme, 1998.

B. Scherrer, K. Simon, and . Warfield, Why multiple b-values are required for multi-tensor models. evaluation with a constrained log-euclidean model, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.1389-1392, 2010.
DOI : 10.1109/ISBI.2010.5490257

K. Simon and . Warfield, Parametric representation of multiple white matter fascicles from cube and sphere diffusion MRI, PLoS one, vol.7, issue.11, pp.48232-2012

J. Jm-schröder, K. Bohl, and . Brodda, Changes of the ratio between myelin thickness and axon diameter in the human developing sural nerve, 1978.

E. William and . Siri, Body composition from fluid spaces and density: analysis of methods. Techniques for measuring body composition, pp.223-267, 1961.

M. Stephen, M. Smith, H. Jenkinson, D. Johansen-berg, . Rueckert et al., Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data, Neuroimage, vol.31, issue.4, pp.1487-1505, 2006.

]. Soares, P. Marques, V. Alves, and N. Sousa, A hitchhiker's guide to diffusion tensor imaging, Frontiers in Neuroscience, vol.7, pp.31-2013, 2013.
DOI : 10.3389/fnins.2013.00031

V. Michael, . Sofroniew, V. Harry, and . Vinters, Astrocytes: biology and pathology, Acta neuropathologica, vol.119, issue.1, pp.7-35, 2010.

S. Song, S. Sun, J. Michael, C. Ramsbottom, J. Chang et al., Dysmyelination Revealed through MRI as Increased Radial (but Unchanged Axial) Diffusion of Water, NeuroImage, vol.17, issue.3, pp.1429-1436, 2002.
DOI : 10.1006/nimg.2002.1267

N. Stamatios, . Sotiropoulos, E. Timothy, S. Behrens, and . Jbabdi, Ball and rackets: inferring fiber fanning from diffusion-weighted MRI, NeuroImage, vol.60, issue.2, pp.1412-1425, 2012.

R. Murray and . Spiegel, Advanced mathematics, 1991.

A. Daniel, S. Spielmat, and . Teng, Spectral partitioning works: Planar graphs and finite element meshes, Foundations of Computer Science Proceedings., 37th Annual Symposium on, pp.96-105, 1996.

]. Sporns, G. Tononi, and R. Kötter, The Human Connectome: A Structural Description of the Human Brain, PLoS Computational Biology, vol.2, issue.4, p.42, 2005.
DOI : 1539-2791(2004)002[0019:IDAESF]2.0.CO;2

J. John and . Stachel, Einstein's miraculous year: five papers that changed the face of physics, 2005.

]. A. Stamm, P. Pérez, and C. Barillot, A new multi-fiber model for low angular resolution diffusion MRI, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), pp.936-939, 2012.
DOI : 10.1109/ISBI.2012.6235710
URL : https://hal.archives-ouvertes.fr/inserm-00858205

]. Stamm, P. Pérez, and C. Barillot, A new multifiber model for low angular resolution diffusion MRI, Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on, pp.936-939, 2012.
DOI : 10.1109/isbi.2012.6235710
URL : https://hal.archives-ouvertes.fr/inserm-00858205

A. Stamm, O. Commowick, K. Simon, S. Warfield, and . Vantini, Comprehensive Maximum Likelihood Estimation of Diffusion Compartment Models Towards Reliable Mapping of Brain Microstructure, International Conference on Medical Image Computing and Computer-Assisted Intervention, pp.622-630, 2016.
DOI : 10.1016/j.neuroimage.2012.03.072
URL : https://hal.archives-ouvertes.fr/inserm-01349556

J. Greg, . Stanisz, A. Graham, M. Wright, A. Henkelman et al., An analytical model of restricted diffusion in bovine optic nerve, Magnetic Resonance in Medicine, vol.37, issue.1, pp.103-111, 1997.

]. Starck, J. Emmanuel, . Candès, L. David, and . Donoho, The curvelet transform for image denoising, IEEE Transactions on Image Processing, vol.11, issue.6, pp.670-684, 2002.
DOI : 10.1109/TIP.2002.1014998

K. Michael, R. Stehling, P. Turner, and . Mansfield, Echoplanar imaging: magnetic resonance imaging in a fraction of a second, Science, vol.254, issue.5028, p.43, 1991.

O. Edward, . Stejskal, E. John, and . Tanner, Spin diffusion measurements: spin echoes in the presence of a time-dependent field gradient, The journal of chemical physics, vol.42, issue.1, pp.288-292, 1965.

. Stikov, . Perry, . Mezer, R. Pauly, and . Dougherty, Modeling and Measuring the Myelin g-ratio, Proc Intl Soc Mag Reson Med, p.225, 2011.

O. Ralph, O. Suarez, and . Commowick, Automated delineation of white matter fiber tracts with a multiple region-of-interest approach, Neuroimage, vol.59, issue.87, pp.3690-3700, 2012.

J. Austin, . Sumner, J. Gareth, and . Parry, Demyelinating disease of the peripheral nervous system, Current Opinion in Neurology, vol.4, issue.2, pp.214-220, 1991.

N. Clive and . Svendsen, Neurobiology: The amazing astrocyte, Nature, vol.417, issue.6884, pp.29-32, 2002.

]. Tabelow, J. Polzehl, V. Spokoiny, U. Henning, and . Voss, Diffusion tensor imaging: Structural adaptive smoothing, NeuroImage, vol.39, issue.4, pp.1763-1773, 2008.
DOI : 10.1016/j.neuroimage.2007.10.024

M. Taquet, B. Scherrer, O. Commowick, J. M. Peters, M. Sahin et al., A Mathematical Framework for the Registration and Analysis of Multi-Fascicle Models for Population Studies of the Brain Microstructure, IEEE Transactions on Medical Imaging, vol.33, issue.2, pp.504-521, 2014.
DOI : 10.1109/TMI.2013.2289381
URL : https://hal.archives-ouvertes.fr/inserm-00903679

K. Ch-toh, S. Wei, Y. Ng, C. Wan, M. Lin et al., Differentiation of Brain Abscesses from Necrotic Glioblastomas and Cystic Metastatic Brain Tumors with Diffusion Tensor Imaging, American Journal of Neuroradiology, vol.32, issue.9, pp.1646-1651, 2011.
DOI : 10.3174/ajnr.A2581

T. Michael, . Treadway, H. David, and . Zald, Reconsidering anhedonia in depression: lessons from translational neuroscience, Neuroscience & Biobehavioral Reviews, vol.35, issue.3, pp.537-555, 2011.

S. David, . Tuch, G. Timothy, . Reese, R. Mette et al., Diffusion MRI of complex neural architecture, Neuron, vol.40, issue.5, pp.885-895, 2003.

C. David, K. Van-essen, . Ugurbil, . Auerbach, . Barch et al., The Human Connectome Project: a data acquisition perspective, Neuroimage, vol.62, issue.4, pp.2222-2231

T. Vercauteren and X. Pennec, Symmetric Log-Domain Diffeomorphic Registration: A Demons-Based Approach, Medical Image Computing and Computer- Assisted Intervention -MICCAI 2008, pp.754-761, 2008.
DOI : 10.1007/978-3-540-85988-8_90
URL : https://hal.archives-ouvertes.fr/inria-00280602

V. Luxburg, A tutorial on spectral clustering, Statistics and Computing, vol.21, issue.1, pp.395-416, 2007.
DOI : 10.1017/CBO9780511810633

U. Henning, R. Voss, . Watts, M. Aziz, D. Ulu? et al., Fiber tracking in the cervical spine and inferior brain regions with reversed gradient diffusion tensor imaging, Magnetic resonance imaging, vol.24, issue.3, pp.231-239, 2006.

Z. Wang, C. Baba, Y. Vemuri, . Chen, H. Thomas et al., A Constrained Variational Principle for Direct Estimation and Smoothing of the Diffusion Tensor Field From Complex DWI, IEEE Transactions on Medical Imaging, vol.23, issue.8, pp.930-939, 2004.
DOI : 10.1109/TMI.2004.831218

. Fu-nien, T. Wang, . Huang, T. Fa-hsuan-lin, N. Chuang et al., PROPELLER EPI: an MRI technique suitable for diffusion tensor imaging at high field strength with reduced geometric distortions, Magnetic resonance in medicine, vol.54, issue.5, pp.1232-1240, 2005.

H. Wang, G. Salehian, . Cheng, C. Baba, and . Vemuri, Tracking on the Product Manifold of Shape and Orientation for Tractography from Diffusion MRI, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.3051-3056, 2014.
DOI : 10.1109/CVPR.2014.390

J. Van, P. Wedeen, W. Hagmann, . Tseng, G. Timothy et al., Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging, Magnetic resonance in medicine, vol.54, issue.6, pp.1377-1386, 2005.

J. Van, . Wedeen, J. D. Wang, T. Schmahmann, . Benner et al., Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers, Neuroimage, vol.41, issue.4, pp.1267-1277, 2008.

N. Weiskopf, U. Klose, N. Birbaumer, and K. Mathiak, Single-shot compensation of image distortions and BOLD contrast optimization using multi-echo EPI for real-time fMRI, NeuroImage, vol.24, issue.4, pp.1068-1079, 2005.
DOI : 10.1016/j.neuroimage.2004.10.012

. Dj-werring, A. Brassat, . Droogan, . Clark, . Symms et al., The pathogenesis of lesions and normal-appearing white matter changes in multiple sclerosis: A serial diffusion MRI study, Brain, vol.123, issue.8, pp.1667-1676, 2000.
DOI : 10.1093/brain/123.8.1667

C. Westin, E. Stephan, H. Maier, A. Mamata, . Nabavi et al., Processing and visualization for diffusion tensor MRI, Medical Image Analysis, vol.6, issue.2, pp.93-108, 2002.
DOI : 10.1016/S1361-8415(02)00053-1

J. J. Brandon-whitcher, N. Wisco, . Hadjikhani, S. David, and . Tuch, Statistical group comparison of diffusion tensors via multivariate hypothesis testing, Magnetic Resonance in Medicine, vol.127, issue.6, pp.1065-1074, 2007.
DOI : 10.1093/biomet/48.3-4.419

T. White, M. Nelson, O. Kelvin, and . Lim, Diffusion Tensor Imaging in Psychiatric Disorders, Topics in Magnetic Resonance Imaging, vol.19, issue.2, pp.97-109, 2008.
DOI : 10.1097/RMR.0b013e3181809f1e

M. Uc-wieshmann, S. Symms, and . Shorvon, Diffusion changes in status epilepticus, The Lancet, vol.350, issue.9076, pp.493-494, 1997.
DOI : 10.1016/S0140-6736(05)63083-8

S. Wiest-daesslé-nicolas-wiest-daesslé, P. Prima, S. Coupé, C. Morrissey, and . Barillot, Non-local means variants for denoising of diffusion-weighted and diffusion tensor MRI. Medical Image Computing and Computer-Assisted Intervention?MICCAI, pp.344-351, 2007.

. Wiest-daesslé, Imagerie du tenseur de diffusion pour l'étude de pathologies cérébrales, Thèse de doctorat dirigée par Barillot, Christian et Prima, 2009.

A. Brian, . Wilt, D. Laurie, E. T. Burns, W. Ho et al., Advances in light microscopy for neuroscience, Annual review of neuroscience, vol.32, pp.435-506, 2009.

P. Roger, M. Woods, . Dapretto, L. Nancy, . Sicotte et al., Creation and use of a Talairach-compatible atlas for accurate, automated, nonlinear intersubject registration, and analysis of functional imaging data, Human brain mapping, vol.8, issue.2-3, pp.73-79, 1999.

]. M. Wu, L. Chang, L. Walker, H. Lemaitre, A. S. Barnett et al., Comparison of EPI Distortion Correction Methods in Diffusion Tensor MRI Using a Novel Framework, MICCAI, Part II, pp.321-329, 2008.
DOI : 10.1097/00004728-199803000-00032

K. Yamada, . Sakai, . Hoogenraad, . Holthuizen, . Akazawa et al., Multitensor Tractography Enables Better Depiction of Motor Pathways: Initial Clinical Experience Using Diffusion-Weighted MR Imaging with Standard b-Value, American Journal of Neuroradiology, vol.28, issue.9, pp.1668-1673, 2007.
DOI : 10.3174/ajnr.A0640

]. Yamada, K. Sakai, K. Akazawa, Y. Sachiko, and T. Nishimura, MR tractography: a review of its clinical applications. Magnetic resonance in medical sciences, pp.165-174, 2009.

C. Yu, Y. Kun-cheng-li, X. M. Xuan, W. Ji, and . Qin, Diffusion tensor tractography in patients with cerebral tumors: A helpful technique for neurosurgical planning and postoperative assessment, European Journal of Radiology, vol.56, issue.2, pp.197-204, 2005.
DOI : 10.1016/j.ejrad.2005.04.010

J. Zaitsev, O. Hennig, and . Speck, Point spread function mapping with parallel imaging techniques and high acceleration factors: Fast, robust, and flexible method for echo-planar imaging distortion correction, Magnetic Resonance in Medicine, vol.48, issue.5, pp.1156-1166, 2004.
DOI : 10.1109/83.931101
URL : http://onlinelibrary.wiley.com/doi/10.1002/mrm.20261/pdf

]. Zhang, L. Penny, . Hubbard, J. Geoff, . Parker et al., Axon diameter mapping in the presence of orientation dispersion with diffusion MRI, NeuroImage, vol.56, issue.3, pp.1301-1315, 2011.
DOI : 10.1016/j.neuroimage.2011.01.084

]. Zhang, T. Schneider, C. A. Wheeler-kingshott, C. Daniel, and . Alexander, NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain, NeuroImage, vol.61, issue.4, pp.1000-1016, 2012.
DOI : 10.1016/j.neuroimage.2012.03.072

]. Zhang, T. Schneider, C. A. Wheeler-kingshott, and D. C. Alexander, NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain, NeuroImage, vol.61, issue.4, pp.1000-1016, 2012.
DOI : 10.1016/j.neuroimage.2012.03.072