V. Arsigny, O. Commowick, X. Pennec, and N. Ayache, A Log-Euclidean Framework for Statistics on Diffeomorphisms, Proc. of the 9th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'06), Part I, pp.924-931, 2006.
DOI : 10.1007/11866565_113

URL : https://hal.archives-ouvertes.fr/inria-00615594

V. Arsigny, P. Fillard, X. Pennec, and N. 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

URL : https://hal.archives-ouvertes.fr/inria-00502678

Y. Assaf and P. 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

M. A. Blanco, M. Florez, and M. Bermejo, Evaluation of the rotation matrices in the basis of real spherical harmonics, Journal of Molecular Structure: THEOCHEM, vol.419, issue.1-3, pp.19-27, 1997.
DOI : 10.1016/S0166-1280(97)00185-1

O. Commowick, P. Fillard, O. Clatz, and S. K. Warfield, Detection of DTI White Matter Abnormalities in Multiple Sclerosis Patients, Proceedings of the 11th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'08), Part I, pp.975-982, 2008.
DOI : 10.1007/978-3-540-85988-8_116

URL : https://hal.archives-ouvertes.fr/inria-00502709

M. 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 : 10.1002/mrm.21277

M. Filippi, M. Cercignani, M. Inglese, and M. H. 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

A. Giorgio, J. Palace, H. Johansen-berg, S. M. Smith, S. Ropele et al., Relationships of brain white matter microstructure with clinical and MR measures in relapsing-remitting multiple sclerosis, Journal of Magnetic Resonance Imaging, vol.130, issue.2, pp.309-316, 2010.
DOI : 10.1002/jmri.22062

A. 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, pp.1181-1201, 2011.
DOI : 10.1016/j.neuroimage.2011.01.053

A. Grigis, V. Noblet, F. Heitz, F. Blanc, J. De-sèze et al., Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors, NeuroImage, vol.60, issue.4, pp.2206-2221, 2012.
DOI : 10.1016/j.neuroimage.2012.02.049

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-00615030

S. Jbabdi, T. E. Behrens, and S. M. Smith, Crossing fibres in tract-based spatial statistics, NeuroImage, vol.49, issue.1, pp.249-256, 2010.
DOI : 10.1016/j.neuroimage.2009.08.039

N. Lepore, C. A. Brun, Y. Y. Chou, and M. C. Chiang, 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

Y. Liu, Y. Duan, Y. He, C. Yu, J. Wang et al., Whole brain white matter changes revealed by multiple diffusion metrics in multiple sclerosis: A TBSS study, European Journal of Radiology, vol.81, issue.10, pp.2826-2832, 2012.
DOI : 10.1016/j.ejrad.2011.11.022

M. Mani, A. Srivastava, and C. Barillot, Morphological changes in the corpus callosum: A study using a joint Riemannian feature spaces, in: SPIE Medical Imaging, p.866908, 2013.

S. Ourselin, A. Roche, and S. Prima, Block Matching: A??General??Framework??to??Improve Robustness of??Rigid??Registration of Medical Images, Med Image Comput Comput Assist Interv, pp.557-566, 2000.
DOI : 10.1007/978-3-540-40899-4_57

URL : https://hal.archives-ouvertes.fr/inria-00615860

D. W. Ritchie and G. J. Kemp, Fast computation, rotation, and comparison of low resolution spherical harmonic molecular surfaces, Journal of Computational Chemistry, vol.272, issue.4, pp.383-395, 1999.
DOI : 10.1002/(SICI)1096-987X(199903)20:4<383::AID-JCC1>3.0.CO;2-M

URL : https://hal.archives-ouvertes.fr/inria-00434275

M. Rocca, M. Cercignani, G. Iannucci, G. Comi, and M. Filippi, Weekly diffusion-weighted imaging of normal-appearing white matter in MS, Neurology, vol.55, issue.6, pp.882-886, 2000.
DOI : 10.1212/WNL.55.6.882

D. Rueckert, L. Sonoda, and C. Hayes, Nonrigid registration using free-form deformations: application to breast MR images, IEEE Transactions on Medical Imaging, vol.18, issue.8, pp.712-721, 1999.
DOI : 10.1109/42.796284

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.126.4732

B. Scherrer and S. K. Warfield, Parametric Representation of Multiple White Matter Fascicles from Cube and Sphere Diffusion MRI, PLoS ONE, vol.49, issue.11, p.48232, 2012.
DOI : 10.1371/journal.pone.0048232.g014

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

O. Suarez, R. Commowick, O. Prabhu, P. , S. Warfield et al., Automated delineation of white matter fiber tracts with a multiple region-of-interest approach, NeuroImage, vol.59, issue.4, pp.3690-3700, 2012.
DOI : 10.1016/j.neuroimage.2011.11.043

URL : https://hal.archives-ouvertes.fr/inserm-00657707

M. Taquet, B. Scherrer, O. Commowick, J. 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.504-517, 2014.
DOI : 10.1109/TMI.2013.2289381

URL : https://hal.archives-ouvertes.fr/inserm-00903679

D. J. Werring, D. Brassat, A. G. Droogan, C. A. Clark, M. R. 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

B. Whitcher, J. J. Wisco, N. Hadjikhani, and D. S. Tuch, Statistical group comparison of diffusion tensors via multivariate hypothesis testing, Magnetic Resonance in Medicine, vol.127, issue.6, pp.1065-1074, 2007.
DOI : 10.1002/mrm.21229

H. Zhang, T. Schneider, C. 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