B. A. Ardekani, J. Kershaw, M. Braun, and I. Kanno, Automatic detection of the mid-sagittal plane in 3-D brain images, IEEE Transactions on Medical Imaging, vol.16, issue.6, pp.947-952, 1997.
DOI : 10.1109/42.650892

P. Broca, Sur lesì ege de la faculté du langage articulé, pp.377-393

M. E. 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

N. Changizi, G. Hamarneh, O. Ishaq, A. D. Ward, and R. Tam, Extraction of the plane of minimal crosssectional area of the corpus callosum using template-driven segmentation, 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI'2010, pp.17-24, 2010.

S. Darkner and J. Sporring, Generalized Partial Volume: An Inferior Density Estimator to Parzen Windows for Normalized Mutual Information, 22nd International Conference on Information Processing in Medical Imaging, pp.436-447, 2011.
DOI : 10.1007/978-3-642-22092-0_36

F. O. Favretto, F. Bergo, and A. X. Falcao, A Fast and Automatic Method for 3D Rigid Registration of MR Images of the Human Brain, 2008 XXI Brazilian Symposium on Computer Graphics and Image Processing, pp.121-128, 2008.
DOI : 10.1109/SIBGRAPI.2008.33

N. Geschwind and W. Levitsky, Human Brain: Left-Right Asymmetries in Temporal Speech Region, Science, vol.161, issue.3837, pp.161186-167, 1968.
DOI : 10.1126/science.161.3837.186

M. Jenkinson, P. Bannister, M. Brady, and S. Smith, Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images, NeuroImage, vol.17, issue.2, pp.825-841, 2002.
DOI : 10.1006/nimg.2002.1132

Z. F. Knops, J. B. Maintz, M. A. Viergever, and J. P. Pluim, Normalized mutual information based registration using k-means clustering and shading correction, Medical Image Analysis, vol.10, issue.3, pp.432-439, 2006.
DOI : 10.1016/j.media.2005.03.009

D. Loeckx, F. Maes, D. Vandermeulen, and P. Suetens, Comparison Between Parzen Window Interpolation and Generalised Partial Volume Estimation for Nonrigid Image Registration Using Mutual Information, 3rd International Workshop on Biomedical Image Registration, pp.206-213, 2006.
DOI : 10.1007/11784012_25

Z. Lu, M. Zhang, Q. Feng, P. Shi, and W. Chen, Medical Image Registration Based on Equivalent Meridian Plane, 4th International Conference on Image Analysis and Recognition, pp.982-992, 2007.
DOI : 10.1007/978-3-540-74260-9_87

F. Maes, A. Collignon, D. Vandermeulen, G. Marchal, and P. Suetens, Multimodality image registration by maximization of mutual information, IEEE Transactions on Medical Imaging, vol.16, issue.2, pp.187-198, 1997.
DOI : 10.1109/42.563664

F. Maes, D. Vandermeulen, and P. Suetens, Comparative evaluation of multiresolution optimization strategies for multimodality image registration by maximization of mutual information, Medical Image Analysis, vol.3, issue.4, pp.373-386, 1999.
DOI : 10.1016/S1361-8415(99)80030-9

J. B. Maintz and M. A. Viergever, A survey of medical image registration, Medical Image Analysis, vol.2, issue.1, pp.1-36, 1998.
DOI : 10.1016/S1361-8415(01)80026-8

H. Mei, C. , and P. K. Varshney, Mutual information-based CT-MR brain image registration using generalized partial volume joint histogram estimation, IEEE Transactions on Medical Imaging, vol.22, issue.9, pp.1111-1119, 2003.

M. J. Powell, The NEWUOA software for unconstrained optimization without derivatives, Large-Scale Nonlinear Optimization of Nonconvex Optimization and Its Applications, pp.255-297, 2006.
DOI : 10.1007/0-387-30065-1_16

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. Roche, G. Malandain, and N. Ayache, Unifying maximum likelihood approaches in medical image registration, International Journal of Imaging Systems and Technology, vol.17, issue.1, pp.71-80, 2000.
DOI : 10.1002/(SICI)1098-1098(2000)11:1<71::AID-IMA8>3.0.CO;2-5
URL : https://hal.archives-ouvertes.fr/cea-00333642

R. Shams, R. A. Kennedy, P. Sadeghi, and R. Hartley, Gradient Intensity-Based Registration of Multi-Modal Images of the Brain, 2007 IEEE 11th International Conference on Computer Vision, pp.1-8, 2007.
DOI : 10.1109/ICCV.2007.4409080

D. Skerl, B. Likar, and F. Pernus, A protocol for evaluation of similarity measures for rigid registration, IEEE Transactions on Medical Imaging, vol.25, issue.6, pp.779-791, 2006.
DOI : 10.1109/TMI.2006.874963

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

P. Thévenaz, U. E. Ruttimann, and M. Unser, A pyramid approach to subpixel registration based on intensity, IEEE Transactions on Image Processing, vol.7, issue.1, pp.27-41, 1998.
DOI : 10.1109/83.650848

J. Tsao, Interpolation artifacts in multimodality image registration based on maximization of mutual information, IEEE Transactions on Medical Imaging, vol.22, issue.7, pp.854-864, 2003.
DOI : 10.1109/TMI.2003.815077

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

W. M. Wells, P. Viola, H. Atsumid, S. Nakajimae, and R. Kikinis, Multi-modal volume registration by maximization of mutual information, Medical Image Analysis, vol.1, issue.1, pp.35-51, 1996.
DOI : 10.1016/S1361-8415(01)80004-9