H. Zhang, B. Avants, P. Yushkevich, J. Woo, S. Wang et al., High-Dimensional Spatial Normalization of Diffusion Tensor Images Improves the Detection of White Matter Differences: An Example Study Using Amyotrophic Lateral Sclerosis, IEEE Transactions on Medical Imaging, vol.26, issue.11, pp.1585-1597, 2007.
DOI : 10.1109/TMI.2007.906784

L. Minati and W. Weglarz, Physical foundations, models, and methods of diffusion magnetic resonance imaging of the brain: A review, Concepts in Magnetic Resonance Part A, vol.77, issue.5, pp.278-307, 2007.
DOI : 10.1002/cmr.a.20094

A. Barmpoutis, B. Vemuri, and J. Forder, Registration of high angular resolution diffusion mri images using 4th order tensors, LNCS, vol.4791, pp.908-915, 2007.

P. Yap, Y. Chen, H. An, Y. Yang, J. Gilmore et al., SPHERE: SPherical Harmonic Elastic REgistration of HARDI data, NeuroImage, vol.55, issue.2, pp.545-556, 2011.
DOI : 10.1016/j.neuroimage.2010.12.015

O. Bergmann, G. Kindlmann, S. Peled, and C. Westin, TWO-TENSOR FIBER TRACTOGRAPHY, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.796-799, 2007.
DOI : 10.1109/ISBI.2007.356972

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. Taquet, B. Scherrer, C. Benjamin, S. Prabhu, B. Macq et al., Interpolating multi-fiber models by Gaussian mixture simplification, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 2012.
DOI : 10.1109/ISBI.2012.6235708

A. Banerjee, S. Merugu, I. Dhillon, and J. Ghosh, Clustering with Bregman Divergences, The Journal of Machine Learning Research, vol.6, pp.1705-1749, 2005.
DOI : 10.1137/1.9781611972740.22
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.2778

O. Commowick, V. Arsigny, A. Isambert, J. Costa, F. Dhermain et al., An efficient locally affine framework for the smooth registration of anatomical structures, Medical Image Analysis, vol.12, issue.4, pp.427-441, 2008.
DOI : 10.1016/j.media.2008.01.002
URL : https://hal.archives-ouvertes.fr/inria-00616074

J. Ruiz-alzola, C. Westin, S. Warfield, C. Alberola, S. Maier 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

B. Yeo, T. Vercauteren, P. Fillard, J. Peyrat, X. Pennec et al., DT-REFinD: Diffusion Tensor Registration With Exact Finite-Strain Differential, IEEE Transactions on Medical Imaging, vol.28, issue.12, pp.1914-1928, 2009.
DOI : 10.1109/TMI.2009.2025654
URL : https://hal.archives-ouvertes.fr/inria-00502720

M. Taquet, B. Macq, and S. Warfield, A generalized correlation coefficient: Application to DTI and multi-fiber DTI, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, pp.9-14, 2012.
DOI : 10.1109/MMBIA.2012.6164763

B. Scherrer and S. Warfield, Toward an accurate multi-fiber assessment strategy for clinical practice, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.2140-2143, 2011.
DOI : 10.1109/ISBI.2011.5872836

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

J. Ashburner, C. Hutton, R. Frackowiak, I. Johnsrude, C. Price et al., Identifying global anatomical differences: deformation-based morphometry, Human Brain Mapping, vol.6, pp.5-6, 1998.
DOI : 10.1002/(sici)1097-0193(1998)6:5/6<348::aid-hbm4>3.0.co;2-p
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.31.2219