A. Amini, Y. Chen, M. Elayyadi, and P. Radeva, Tag surface reconstruction and tracking of myocardial beads from SPAMM-MRI with parametric B-spline surfaces, IEEE Transactions on Medical Imaging, vol.20, issue.2, pp.94-103, 2001.
DOI : 10.1109/42.913176

E. Angelini and O. Gerard, Review of Myocardial Motion Estimation Methods from Optical Flow Tracking on Ultrasound Data, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, pp.1537-1540, 2006.
DOI : 10.1109/IEMBS.2006.259640

V. Arsigny, O. Commowick, X. Pennec, and N. Ayache, A logeuclidean framework for statistics on diffeomorphisms, Proc. of MICCAI'06, pp.924-931, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00615594

T. Arts, F. Prinzen, T. Delhaas, J. Milles, A. Rossi et al., Mapping Displacement and Deformation of the Heart With Local Sine-Wave Modeling, IEEE Transactions on Medical Imaging, vol.29, issue.5, pp.1114-1123, 2010.
DOI : 10.1109/TMI.2009.2037955

A. Bistoquet, J. Oshinski, and O. Vskrinjar, Myocardial deformation recovery from cine MRI using a nearly incompressible biventricular model, Medical Image Analysis, vol.12, issue.1, pp.69-85, 2008.
DOI : 10.1016/j.media.2007.10.009

R. Chandrashekara, R. Mohiaddin, and D. Rueckert, Analysis of 3-D Myocardial Motion in Tagged MR Images Using Nonrigid Image Registration, IEEE Transactions on Medical Imaging, vol.23, issue.10, pp.1245-1250, 2004.
DOI : 10.1109/TMI.2004.834607

R. Chandrashekara, R. Mohiaddin, and D. Rueckert, Analysis of 3-D myocardial motion in tagged MR images using nonrigid image registration, IEEE Tansactions on Medical Imaging, pp.1245-1250, 2004.

T. Chen, X. Wang, S. Chung, D. Metaxas, and L. Axel, Automated 3D Motion Tracking Using Gabor Filter Bank, Robust Point Matching, and Deformable Models, IEEE Transactions on Medical Imaging, vol.29, issue.1, pp.1-11, 2010.
DOI : 10.1109/TMI.2009.2021041

J. Crosby, B. Amundsen, T. Hergum, E. Remme, S. Langeland et al., 3-D Speckle Tracking for Assessment of Regional Left Ventricular Function, Ultrasound in Medicine & Biology, vol.35, issue.3, pp.458-471, 2009.
DOI : 10.1016/j.ultrasmedbio.2008.09.011

M. De-craene and G. Piella, An implementation of TDFFD and LDFFD algorithms, Insight Journal, 2012.

M. De-craene, G. Piella, O. Camara, N. Duchateau, E. Silva et al., Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography, Medical Image Analysis, vol.16, issue.2, pp.427-450, 2012.
DOI : 10.1016/j.media.2011.10.006

M. De-craene, C. Tobon-gomez, C. Butakoff, N. Duchateau, G. Piella et al., Temporal Diffeomorphic Free Form Deformation (TDFFD) Applied to Motion and Deformation Quantification of Tagged MRI Sequences, Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, pp.68-77, 2012.
DOI : 10.1007/978-3-642-28326-0_7

X. Deng and T. Denney, Three-Dimensional Myocardial Strain Reconstruction From Tagged MRI Using a Cylindrical B-spline Model, IEEE Transactions on Medical Imaging, vol.23, issue.7, pp.861-867, 2004.
DOI : 10.1109/TMI.2004.827961

D. 'hooge, J. Heimdal, A. Jamal, F. Kukulski, T. Bijnens et al., Regional Strain and Strain Rate Measurements by Cardiac Ultrasound: Principles, Implementation and Limitations, European Journal of Echocardiography, vol.1, issue.3, pp.154-170, 2000.
DOI : 10.1053/euje.2000.0031

A. Elen, H. Choi, D. Loeckx, H. Gao, P. Claus et al., Three-Dimensional Cardiac Strain Estimation Using Spatio???Temporal Elastic Registration of Ultrasound Images: A Feasibility Study, IEEE Transactions on Medical Imaging, vol.27, issue.11, pp.1580-1591, 2008.
DOI : 10.1109/TMI.2008.2004420

J. Huang, D. Abendschein, V. Davila-roman, and A. Amini, Spatio-temporal tracking of myocardial deformations with a 4-D B-spline model from tagged MRI, IEEE Transactions on Medical Imaging, vol.18, issue.10, pp.957-972, 1999.
DOI : 10.1109/42.811299

W. Kerwin and J. Prince, Cardiac material markers from tagged MR images, Medical Image Analysis, vol.2, issue.4, pp.339-353, 1998.
DOI : 10.1016/S1361-8415(98)80015-7

H. Knutsson and M. Andersson, Morphons: segmentation using elastic canvas and paint on priors, IEEE International Conference on Image Processing 2005, pp.73-76, 2005.
DOI : 10.1109/ICIP.2005.1530283

J. Krucker, G. Lecarpentier, J. Fowlkes, and P. Carson, Rapid elastic image registration for 3-D ultrasound, IEEE Transactions on Medical Imaging, vol.21, issue.11, pp.1384-1394, 2002.
DOI : 10.1109/TMI.2002.806424

I. Larrabide, P. Omedas, Y. Martelli, X. Planes, M. Nieber et al., GIMIAS: An Open Source Framework for Efficient Development of Research Tools and Clinical Prototypes, Functional Imaging and Modeling of the Heart, pp.417-426, 2009.
DOI : 10.1007/s00424-002-0890-1

M. Ledesma-carbayo, J. Kybic, M. Desco, A. Santos, M. Suhling et al., Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation, IEEE Transactions on Medical Imaging, vol.24, issue.9, pp.1113-1126, 2005.
DOI : 10.1109/TMI.2005.852050

M. Linguraru, A. Kabla, N. Vasilyev, P. Del-nido, and R. Howe, REAL-TIME BLOCK FLOW TRACKING OF ATRIAL SEPTAL DEFECT MOTION IN 4D CARDIAC ULTRASOUND, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.356-359, 2007.
DOI : 10.1109/ISBI.2007.356862

T. Mansi, X. Pennec, M. Sermesant, H. Delingette, and N. Ayache, iLogDemons: A Demons-Based Registration Algorithm for??Tracking Incompressible Elastic Biological Tissues, International Journal of Computer Vision, vol.28, issue.12, 2011.
DOI : 10.1007/s11263-010-0405-z

URL : https://hal.archives-ouvertes.fr/inria-00616187

R. Manzke, A. Lutz, M. Schenderlein, A. Bornstedt, R. C. Chan et al., A new PVA-based dynamic cardiac phantom for evaluation of functional MR imaging methods at 3T. ISMRM proceedings, 2010.

K. Mcleod, A. Prakosa, T. Mansi, M. Sermesant, X. Pennec et al., An Incompressible Log-Domain Demons Algorithm for Tracking Heart Tissue, Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, pp.55-67, 2012.
DOI : 10.1007/978-3-642-28326-0_6

URL : https://hal.archives-ouvertes.fr/hal-00813851

C. C. Moore, C. H. Lugo-olivieri, E. R. Mcveigh, and E. A. Zerhouni, Three-dimensional Systolic Strain Patterns in the Normal Human Left Ventricle: Characterization with Tagged MR Imaging, Radiology, vol.214, issue.2, pp.453-466, 2000.
DOI : 10.1148/radiology.214.2.r00fe17453

X. Papademetris, A. Sinusas, D. Dione, R. Constable, and J. Duncan, Estimation of 3-D left ventricular deformation from medical images using biomechanical models, IEEE Transactions on Medical Imaging, vol.21, issue.7, pp.786-800, 2002.
DOI : 10.1109/TMI.2002.801163

C. Petitjean, N. Rougon, and P. Cluzel, Assessment of Myocardial Function: A Review of Quantification Methods and Results Using Tagged MRI, Journal of Cardiovascular Magnetic Resonance, vol.7, issue.2, pp.501-516, 2005.
DOI : 10.1081/JCMR-200053610

URL : https://hal.archives-ouvertes.fr/hal-00273062

C. Petitjean, N. Rougon, P. Cluzel, F. Preteux, and P. Grenier, Quantification of myocardial function using tagged MR and cine MR images, The International Journal of Cardiovascular Imaging, vol.84, issue.2, pp.497-507, 2004.
DOI : 10.1007/s10554-004-1098-6

URL : https://hal.archives-ouvertes.fr/hal-00273063

E. Remme, K. Augenstein, A. Young, and P. Hunter, Parameter distribution models for estimation of population based left ventricular deformation using sparse fiducial markers, IEEE Transactions on Medical Imaging, vol.24, issue.3, pp.381-388, 2005.
DOI : 10.1109/TMI.2004.842458

N. Rougon, C. Petitjean, F. Preteux, P. Cluzel, and P. Grenier, A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures, Medical Image Analysis, vol.9, issue.4, pp.353-375, 2005.
DOI : 10.1016/j.media.2005.01.005

URL : https://hal.archives-ouvertes.fr/hal-00673418

D. Rueckert, L. Sonoda, C. Hayes, D. Hill, M. Leach et al., Nonrigid registration using free-form deformations: application to breast MR images, IEEE Transactions on Medical Imaging, vol.18, issue.8, pp.712-721, 1999.
DOI : 10.1109/42.796284

A. K. Rutz, S. Ryf, S. Plein, P. Boesiger, and S. Kozerke, Accelerated whole-heart 3D CSPAMM for myocardial motion quantification, Magnetic Resonance in Medicine, vol.287, issue.4, pp.755-763, 2008.
DOI : 10.1002/mrm.21363

W. Shi, X. Zhuang, H. Wang, S. Duckett, D. Luong et al., A comprehensive cardiac motion estimation framework using both untagged and 3-d tagged mr images based on nonrigid registration, Medical Imaging IEEE Transactions, vol.31, pp.1263-1275, 2012.

W. Shi and X. Zhuang, Automatic Segmentation of Different Pathologies from Cardiac Cine MRI Using Registration and Multiple Component EM Estimation, pp.163-170, 2011.
DOI : 10.1016/j.media.2010.05.009

C. Studholme, D. Hill, and D. Hawkes, An overlap invariant entropy measure of 3D medical image alignment, Pattern Recognition, vol.32, issue.1, pp.71-86, 1999.
DOI : 10.1016/S0031-3203(98)00091-0

K. J. Surry, H. J. Austin, A. Fenster, and T. M. Peters, Poly(vinyl alcohol) cryogel phantoms for use in ultrasound and MR imaging, Physics in Medicine and Biology, vol.49, issue.24, p.5529, 2004.
DOI : 10.1088/0031-9155/49/24/009

G. Sutherland, L. Hatle, P. Claus, J. D-'hooge, and B. Bijnens, Doppler Myocardial Imaging-A Textbook, 2006.

L. Tautz, A. Hennemuth, H. O. Peitgen, O. Camara, E. Konukoglu et al., Motion Analysis with Quadrature Filter Based Registration of Tagged MRI Sequences, Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, pp.78-87, 2012.
DOI : 10.1007/978-3-642-28326-0_8

C. Tobon-gomez, M. De-craene, A. Dahl, S. Kapetanakis, G. Carr-white et al., A multimodal database for the 1st cardiac motion analysis challenge, Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, pp.33-44, 2012.

N. Tustison and A. Amini, Biventricular myocardial strains via nonrigid registration of AnFigatomical NURBS models, IEEE Transactions on Medical Imaging, vol.25, issue.1, pp.94-112, 2006.
DOI : 10.1109/TMI.2005.861015

T. Vercauteren, X. Pennec, A. Perchant, and N. Ayache, Symmetric Log-Domain Diffeomorphic Registration: A Demons-Based Approach, Proc. of MICCAI'08, pp.754-761, 2008.
DOI : 10.1007/978-3-540-85988-8_90

URL : https://hal.archives-ouvertes.fr/inria-00280602

A. Veress, J. Weiss, G. Klein, and G. Gullberg, Quantification of 3D left ventricular deformation using hyperelastic warping: comparisons between MRI and PET imaging, Computers in Cardiology, pp.709-712, 2002.
DOI : 10.1109/CIC.2002.1166871

B. Wandt, L. Bojo, L. Hatle, and B. Wranne, Left ventricular contraction pattern changes with age in normal adults????????????, Journal of the American Society of Echocardiography, vol.11, issue.9, pp.857-863, 1998.
DOI : 10.1016/S0894-7317(98)70005-7

H. Wang and A. Amini, Cardiac motion and deformation recovery from mri: A review, Medical Imaging IEEE Transactions on, pp.1-1, 2011.

H. Wang, W. Shi, X. Zhuang, S. Duckett, K. Tung et al., Automatic Cardiac Motion Tracking Using Both Untagged and 3D Tagged MR Images, Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, pp.45-54, 2012.
DOI : 10.1007/978-3-642-28326-0_5

C. Xu, J. Pilla, G. Isaac, J. Gorman, A. Blom et al., Deformation analysis of 3D tagged cardiac images using an optical flow method, Journal of Cardiovascular Magnetic Resonance, vol.12, issue.1, pp.1-14, 2010.
DOI : 10.1186/1532-429X-12-19

Y. Zheng, A. Barbu, B. Georgescu, M. Scheuering, and D. Comaniciu, Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features, IEEE Transactions on Medical Imaging, vol.27, issue.11, pp.1668-1681, 2008.
DOI : 10.1109/TMI.2008.2004421

X. Zhuang, K. Rhode, R. Razavi, D. J. Hawkes, and S. Ourselin, A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI, IEEE Transactions on Medical Imaging, pp.1612-1625, 2010.