V. Arsigny, P. Fillard, X. Pennec, and N. Ayache, Log-Euclidean metrics for fast and simple calculus on diffusion tensors, MRM, vol.56, issue.2, pp.411-432, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00502678

P. J. Basser, J. Mattiello, and D. Lebihan, Estimation of the effective self-diffusion tensor from the NMR spin echo, J. Magn. Reson. B, vol.103, issue.3, pp.247-54, 1994.
URL : https://hal.archives-ouvertes.fr/hal-00349722

K. G. Van-den-boogaart, J. J. Egozcue, and V. Pawlowsky-glahn, Bayes Hilbert Spaces. Aust. N. Z. J. Stat, vol.56, issue.2, pp.171-194, 2014.

J. J. Egozcue, V. Pawlowsky-glahn, R. Tolosana-delgado, M. I. Ortego, and K. G. Van-den-boogaart, Bayes spaces: use of improper distributions and exponential families. Rev. Real Acad. Ciencias Exactas, Fis. Nat. Ser. A Mat, vol.107, issue.2, pp.475-86, 2013.

D. Le-bihan, Looking into the functional architecture of the brain with diffusion MRI, Nat. Rev. Neurosci, vol.4, issue.6, pp.469-80, 2003.
URL : https://hal.archives-ouvertes.fr/hal-00349696

C. Lenglet, Statistics on the manifold of multivariate normal distributions: Theory and application to diffusion tensor MRI processing, JMIV, vol.25, issue.3, pp.423-467, 2006.

S. Mori and B. Crain, Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging, Annals of neurology, vol.45, issue.2, pp.265-274, 1999.

E. Panagiotaki, Compartment models of the diffusion MR signal in brain white matter: a taxonomy and comparison, Neuroimage, vol.59, issue.3, pp.2241-54, 2012.

X. Pennec, P. Fillard, and N. Ayache, A riemannian framework for tensor computing, International Journal of Computer Vision, vol.66, issue.1, pp.41-66, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00070743

B. Scherrer and S. K. Warfield, Parametric representation of multiple white matter fascicles from cube and sphere diffusion MRI, PLoS One, vol.7, issue.11, p.48232, 2012.

A. Stamm and O. Commowick, Comprehensive Maximum Likelihood Estimation of Diffusion Compartment Models Towards Reliable Mapping of Brain Microstructure, MICCAI (III), vol.9902, pp.622-630, 2016.
URL : https://hal.archives-ouvertes.fr/inserm-01349556

M. Taquet and B. Scherrer, A mathematical framework for the registration and analysis of multi-fascicle models for population studies of the brain microstructure, IEEE TMI, vol.33, issue.2, pp.504-521, 2014.
URL : https://hal.archives-ouvertes.fr/inserm-00903679

. Wang, When Brownian diffusion is not Gaussian, Nat Mater, vol.11, issue.6, pp.481-486, 2012.