D. C. Alexander, P. L. Hubbard, M. G. Hall, E. A. Moore, M. Ptito et al., Orientationally invariant indices of axon diameter and density from diffusion MRI, NeuroImage, vol.52, issue.4, pp.1374-1389, 2010.
DOI : 10.1016/j.neuroimage.2010.05.043

Y. Assaf and P. J. 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

Y. Assaf, T. Blumenfeld-katzir, Y. Yovel, and P. J. 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 : 10.1002/mrm.21577

Y. Assaf, R. Z. Freidlin, G. K. Rohde, and P. J. Basser, 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 : 10.1002/mrm.20274

P. J. Basser, S. Pajevic, C. Pierpaoli, J. Duda, and A. Aldroubi, In vivo fiber tractography using DT-MRI data, Magnetic Resonance in Medicine, vol.40, issue.4, pp.625-632, 2000.
DOI : 10.1002/1522-2594(200010)44:4<625::AID-MRM17>3.0.CO;2-O

P. Callaghan, Pulsed-Gradient Spin-Echo NMR for Planar, Cylindrical, and Spherical Pores under Conditions of Wall Relaxation, Journal of Magnetic Resonance, Series A, vol.113, issue.1, pp.53-59, 1995.
DOI : 10.1006/jmra.1995.1055

E. Caruyer, A. Daducci, M. Descoteaux, J. C. Houde, J. P. Thiran et al., Phantomas: a flexible software library to simulate diffusion MR phantoms, International Symposium on Magnetic Resonance in Medicine, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00944644

T. G. Close, J. D. Tournier, F. Calamante, L. Johnston, I. Mareels et al., A software tool to generate simulated white matter structures for the assessment of fibre-tracking algorithms, NeuroImage, vol.47, issue.4, pp.1288-1300, 2009.
DOI : 10.1016/j.neuroimage.2009.03.077

A. Daducci, A. Dal-palu, L. Alia, and J. P. Thiran, COMMIT: Convex Optimization Modeling for Microstructure Informed Tractography, IEEE Transactions on Medical Imaging, vol.34, issue.1, pp.246-257, 2014.
DOI : 10.1109/TMI.2014.2352414

J. Mcnab, B. L. Edlow, T. Witzel, S. Y. Huang, H. Bhat et al., The Human Connectome Project and beyond: initial applications of 300 mT/m gradients Mean apparent propagator (MAP) MRI: A novel diffusion imaging method for mapping tissue microstructure, NImg NImg, vol.80, issue.78, pp.234-245, 2013.

J. M. Ritchie, On the relation between fibre diameter and conduction velocity in myelinated nerve fibres Containing papers of a Biological character, Proceedings of the Royal Society of London. Series B, pp.29-35, 1206.

A. J. Sherbondy, M. C. Rowe, and D. C. Alexander, MicroTrack: An Algorithm for Concurrent Projectome and Microstructure Estimation, International Conference on Medical Image Computing and Computer-Assisted Intervention, pp.183-190, 2010.
DOI : 10.1007/978-3-642-15705-9_23

J. D. Tournier, F. Calamante, and A. Connelly, MRtrix: Diffusion tractography in crossing fiber regions, International Journal of Imaging Systems and Technology, vol.56, issue.1, pp.53-66, 2012.
DOI : 10.1002/ima.22005

A. Tristán-vega, C. F. Westin, and S. Aja-fernández, Estimation of fiber Orientation Probability Density Functions in High Angular Resolution Diffusion Imaging, NeuroImage, vol.47, issue.2, pp.638-650, 2009.
DOI : 10.1016/j.neuroimage.2009.04.049

D. Tuch, Q-ball imaging, Magnetic Resonance in Medicine, vol.23, issue.6, pp.1358-1372, 2004.
DOI : 10.1002/mrm.20279