M. Brummer, Hough transform detection of the longitudinal fissure in tomographic head images, IEEE Transactions on Medical Imaging, vol.10, issue.1, pp.74-81, 1991.
DOI : 10.1109/42.75613

R. Guillemaud, P. Marais, A. Zisserman, B. Mcdonald, T. Crow et al., A three dimensional mid sagittal plane for brain asymmetry measurement, Schizophrenia Research, vol.18, issue.2-3, pp.183-184, 1996.
DOI : 10.1016/0920-9964(96)85575-7

P. Anbazhagan, A. Carass, P. Bazin, and J. Prince, Automatic Estimation of Midsagittal Plane and AC-PC Alignment Based on Nonrigid Registration, 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., 2006.
DOI : 10.1109/ISBI.2006.1625046

I. Volkau, K. N. Prakash, A. Ananthasubramaniam, A. Aziz, and W. L. Nowinski, Extraction of the midsagittal plane from morphological neuroimages using the Kullback???Leibler???s measure, Medical Image Analysis, vol.10, issue.6, pp.863-874, 2006.
DOI : 10.1016/j.media.2006.07.005

S. Smith and M. Jenkinson, Accurate Robust Symmetry Estimation, Second International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI'99, pp.308-317, 1999.
DOI : 10.1007/10704282_34

Y. Liu, R. Collins, and W. Rothfus, Robust Midsagittal Plane Extraction from Coarse, Pathological 3D Images, Third International Conference on Medical Image Computing and Computer-Assisted Intervention, pp.83-94, 1935.
DOI : 10.1007/978-3-540-40899-4_9

S. Prima, S. Ourselin, and N. Ayache, Computation of the mid-sagittal plane in 3-D brain images, IEEE Transactions on Medical Imaging, vol.21, issue.2, pp.122-138, 2002.
DOI : 10.1109/42.993131

URL : https://hal.archives-ouvertes.fr/inria-00615857

A. Tuzikov, O. Colliot, and I. Bloch, Evaluation of the symmetry plane in 3D MR brain images, Pattern Recognition Letters, vol.24, issue.14, pp.2219-2233, 2003.
DOI : 10.1016/S0167-8655(03)00049-7

URL : https://hal.archives-ouvertes.fr/hal-01227827

S. Joshi, P. Lorenzen, G. Gerig, and E. Bullitt, Structural and radiometric asymmetry in brain images, Medical Image Analysis, vol.7, issue.2, pp.155-170, 2003.
DOI : 10.1016/S1361-8415(03)00002-1

Q. Hu and W. Nowinski, A rapid algorithm for robust and automatic extraction of the midsagittal plane of the human cerebrum from neuroimages based on local symmetry and outlier removal, NeuroImage, vol.20, issue.4, pp.2153-2165, 2003.
DOI : 10.1016/j.neuroimage.2003.08.009

M. Stegmann, K. Skoglund, and C. Ryberg, Mid-sagittal plane and mid-sagittal surface optimization in brain MRI using a local symmetry measure, Medical Imaging 2005: Image Processing, pp.568-579, 2005.
DOI : 10.1117/12.595222

L. Teverovskiy and Y. Liu, Truly 3D Midsagittal Plane Extraction for Robust Neuroimage Registration, 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., 2006.
DOI : 10.1109/ISBI.2006.1625054

S. Peled, H. Gudbjartsson, C. F. Westin, R. Kikinis, and F. A. Jolesz, Magnetic resonance imaging shows orientation and asymmetry of white matter fiber tracts, Brain Research, vol.780, issue.1, pp.27-33, 1998.
DOI : 10.1016/S0006-8993(97)00635-5

Y. Cao, S. Whalen, J. Huang, K. L. Berger, and M. C. Delano, Asymmetry of subinsular anisotropy by in vivo diffusion tensor imaging, Human Brain Mapping, vol.42, issue.2, pp.82-90, 2003.
DOI : 10.1002/hbm.10130

S. Zhang, M. E. Bastin, D. H. Laidlaw, S. Sinha, P. A. Armitage et al., Visualization and analysis of white matter structural asymmetry in diffusion tensor MRI data, Magnetic Resonance in Medicine, vol.15, issue.1, pp.140-147, 2004.
DOI : 10.1002/mrm.10673

H. Park, C. Westin, M. Kubicki, S. E. Maier, M. Niznikiewicz et al., White matter hemisphere asymmetries in healthy subjects and in schizophrenia: a diffusion tensor MRI study, NeuroImage, vol.23, issue.1, pp.213-223, 2004.
DOI : 10.1016/j.neuroimage.2004.04.036

C. Buechel, T. Raedler, M. Sommer, M. Sach, C. Weiller et al., White Matter Asymmetry in the Human Brain: A Diffusion Tensor MRI Study, Cerebral Cortex, vol.14, issue.9, pp.945-951, 2004.
DOI : 10.1093/cercor/bhh055

G. Gong, T. Jiang, C. Zhu, Y. Zang, F. Wang et al., Asymmetry analysis of cingulum based on scale-invariant parameterization by diffusion tensor imaging, Human Brain Mapping, vol.11, issue.2, pp.92-98, 2005.
DOI : 10.1002/hbm.20072

H. W. Powell, G. J. Parker, D. C. Alexander, M. R. Symms, P. A. Boulby et al., Hemispheric asymmetries in language-related pathways: A combined functional MRI and tractography study, NeuroImage, vol.32, issue.1, pp.388-399, 2006.
DOI : 10.1016/j.neuroimage.2006.03.011

T. R. Barrick, I. N. Lawes, C. E. Mackay, and C. A. Clark, White Matter Pathway Asymmetry Underlies Functional Lateralization, Cerebral Cortex, vol.17, issue.3, 2007.
DOI : 10.1093/cercor/bhk004

S. Pajevic and C. Pierpaoli, Color schemes to represent the orientation of anisotropic tissues from diffusion tensor data: Application to white matter fiber tract mapping in the human brain, Magnetic Resonance in Medicine, vol.820, issue.3, pp.526-540, 1999.
DOI : 10.1002/(SICI)1522-2594(199909)42:3<526::AID-MRM15>3.0.CO;2-J

T. Jaermann, G. Crelier, K. P. Pruessmann, X. Golay, T. Netsch et al., SENSE-DTI at 3 T, Magnetic Resonance in Medicine, vol.14, issue.2, pp.230-236, 2004.
DOI : 10.1002/mrm.10707

T. Netsch and A. Van-muiswinkel, Quantitative Evaluation of Image-Based Distortion Correction in Diffusion Tensor Imaging, IEEE Transactions on Medical Imaging, vol.23, issue.7, pp.789-798, 2004.
DOI : 10.1109/TMI.2004.827479

N. Otsu, A threshold selection method from grey scale histogram, IEEE Transactions on Systems, Man and Cybernetics, vol.1, pp.62-66, 1979.

P. Basser and D. Jones, Diffusion-tensor MRI: theory, experimental design and data analysis - a technical review, NMR in Biomedicine, vol.20, issue.7-8, pp.456-467, 2002.
DOI : 10.1002/nbm.783

P. T. Fletcher, S. C. Joshi, M. , M. Sonka, and I. , Principal Geodesic Analysis on Symmetric Spaces: Statistics of Diffusion Tensors, Lecture Notes in Computer Science, vol.3117, pp.87-98, 2004.
DOI : 10.1007/978-3-540-27816-0_8

P. G. Batchelor, M. Moakher, D. Atkinson, F. Calamante, and A. Connelly, A rigorous framework for diffusion tensor calculus, Magnetic Resonance in Medicine, vol.103, issue.1, pp.221-225, 2005.
DOI : 10.1002/mrm.20334

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

X. Pennec, P. Fillard, and N. Ayache, A Riemannian Framework for Tensor Computing, International Journal of Computer Vision, vol.6, issue.2, pp.41-66, 2006.
DOI : 10.1007/s11263-005-3222-z

URL : https://hal.archives-ouvertes.fr/inria-00070743

M. Powell, The NEWUOA software for unconstrained optimization without derivatives, 40th Workshop on Large Scale Nonlinear Optimization, 2004.
DOI : 10.1007/0-387-30065-1_16

N. Wiest-daesslé, P. Yger, S. Prima, and C. Barillot, Evaluation of a new optimisation algorithm for rigid registration of MRI data, Medical Imaging 2007: Image Processing, 2007.
DOI : 10.1117/12.707931

D. C. Alexander, C. Pierpaoli, P. J. Basser, and J. C. Gee, Spatial transformations of diffusion tensor magnetic resonance images, IEEE Transactions on Medical Imaging, vol.20, issue.11, pp.1131-1139, 2001.
DOI : 10.1109/42.963816