A framework for computational anatomy, Computing and Visualization in Science, vol.5, issue.1, pp.13-34, 2002. ,
DOI : 10.1007/s00791-002-0084-6
Computational anatomy: an emerging discipline, Quarterly of Applied Mathematics, vol.56, issue.4, pp.617-694, 1998. ,
DOI : 10.1090/qam/1668732
A Unified Statistical Approach to Deformation-Based Morphometry, NeuroImage, vol.14, issue.3, pp.595-606, 2001. ,
DOI : 10.1006/nimg.2001.0862
Geodesic estimation for large deformation anatomical shape averaging and interpolation, NeuroImage, vol.23, pp.139-50, 2004. ,
DOI : 10.1016/j.neuroimage.2004.07.010
Very High-Resolution Morphometry Using Mass-Preserving Deformations and HAMMER Elastic Registration, NeuroImage, vol.18, issue.1, pp.28-41, 2003. ,
DOI : 10.1006/nimg.2002.1301
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.408.1684
Deformable templates using large deformation kinematics, IEEE Transactions on Image Processing, vol.5, issue.10, pp.1435-1447, 1996. ,
DOI : 10.1109/83.536892
Computational anatomy: shape, growth, and atrophy comparison via diffeomorphisms, NeuroImage, vol.23, pp.19-33, 2004. ,
DOI : 10.1016/j.neuroimage.2004.07.021
<title>Automated 3D nonlinear deformation procedure for determination of gross morphometric variability in human brain</title>, Visualization in Biomedical Computing 1994, pp.180-190, 1994. ,
DOI : 10.1117/12.185178
Detecting Spatially Consistent Structural Differences in Alzheimer???s and Fronto Temporal Dementia Using Deformation Morphometry, Proc. MICCAI, pp.41-48, 2001. ,
DOI : 10.1007/3-540-45468-3_6
Mapping cortical change in Alzheimer's disease, brain development, and schizophrenia, NeuroImage, vol.23, issue.1, pp.2-18, 2004. ,
DOI : 10.1016/j.neuroimage.2004.07.071
Growth patterns in the developing brain detected by using continuum mechanical tensor maps, Nature, vol.56, issue.6774, pp.190-193, 2000. ,
DOI : 10.1038/35004593
Symmetrization of the Non-rigid Registration Problem Using Inversion-Invariant Energies: Application to Multiple Sclerosis, MICCAI'00, pp.472-481, 2000. ,
DOI : 10.1007/978-3-540-40899-4_48
Longitudinal stability of MRI for mapping brain change using tensor-based morphometry, For the ADNI Preparatory Phase Study, 2005. ,
DOI : 10.1016/j.neuroimage.2005.12.013
High-Dimensional Image Registration Using Symmetric Priors, NeuroImage, vol.9, issue.6, pp.619-628, 1999. ,
DOI : 10.1006/nimg.1999.0437
Riemannian Elasticity: A Statistical Regularization Framework for Non-linear Registration, Proc. MICCAI 2005, pp.943-950, 2005. ,
DOI : 10.1007/11566489_116
URL : https://hal.archives-ouvertes.fr/inria-00502675
Fast and Simple Calculus on Tensors in the Log-Euclidean Framework, Proc. MICCAI 2005, 2005. ,
DOI : 10.1007/11566465_15
URL : https://hal.archives-ouvertes.fr/inria-00502669
Characterizing volume and surface deformations in an atlas framework: theory, applications, and implementation, NeuroImage, vol.18, issue.3, pp.769-88, 2003. ,
DOI : 10.1016/S1053-8119(03)00019-3
Inverse Consistent Mapping in 3D Deformable Image Registration: Its Construction and Statistical Properties, 2005. ,
DOI : 10.1007/11505730_41
Statistical Decision Rules and Optimal Inference, Translations in Mathematics, vol.14, 1982. ,
Statistical warps, a least committed model, 2001. ,
On a Measure of Divergence Between Two Statistical Populations Defined by their Probability Distributions, Bull. Calcutta Math. Soc, vol.35, p.99, 1943. ,
Elements of Information Theory, 1991. ,
Grid Generation Methods, 1999. ,
A viscous fluid model for multimodal non-rigid image registration using mutual information, Medical Image Analysis, vol.7, issue.4, pp.565-575, 2003. ,
DOI : 10.1016/S1361-8415(03)00039-2
Mutual Information for Automated Unwarping of Rat Brain Autoradiographs, NeuroImage, vol.5, issue.1, pp.31-40, 1997. ,
DOI : 10.1006/nimg.1996.0251
Model based symmetric information theoretic large deformation multi-modal image registration, 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (IEEE Cat No. 04EX821), pp.720-723, 2004. ,
DOI : 10.1109/ISBI.2004.1398639
A Unified Information-Theoretic Approach to Groupwise Non-rigid Registration and Model Building, 2005. ,
DOI : 10.1007/11505730_1
<tex>$f$</tex>-Information Measures in Medical Image Registration, IEEE Transactions on Medical Imaging, vol.23, issue.12, pp.1508-1516, 2004. ,
DOI : 10.1109/TMI.2004.836872
Image registration using the unbiased deformation algorithm, with the sum of the squared intensity difference (SSD) as the cost function. 3D scans from a semantic dementia patient imaged at two time points were nonlinearly registered to estimate the profile of volumetric change. The later scan (first column) was chosen to be the source image ,