B. Amundsen, J. Crosby, P. Steen, H. Torp, S. Slørdahl et al., Regional myocardial long-axis strain and strain rate measured by different tissue Doppler and speckle tracking echocardiography methods: a comparison with tagged magnetic resonance imaging, European Journal of Echocardiography, vol.10, issue.2, pp.229-237, 2009.
DOI : 10.1093/ejechocard/jen201

B. Amundsen, T. Helle-valle, T. Edvardsen, H. Torp, J. Crosby et al., Noninvasive Myocardial Strain Measurement by Speckle Tracking Echocardiography, Journal of the American College of Cardiology, vol.47, issue.4, pp.789-793, 2006.
DOI : 10.1016/j.jacc.2005.10.040

J. Jensen, A new calculation procedure for spatial impulse responses in ultrasound, The Journal of the Acoustical Society of America, vol.105, issue.6, pp.3266-3274, 1999.
DOI : 10.1121/1.424654

H. Gao, H. Choi, P. Claus, S. Boonen, S. Jaecques et al., A fast convolution-based methodology to simulate 2-D/3-D cardiac ultrasound images, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.56, issue.2, pp.404-409, 2009.

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

Q. Duan, P. Moireau, E. Angelini, D. Chapelle, and A. Laine, Simulation of 3D Ultrasound with a Realistic Electro-mechanical Model of the Heart, Functional Imaging and Modeling of the Heart, pp.463-473, 2007.
DOI : 10.1007/978-3-540-72907-5_47

B. Lesniak-plewinska, S. Cygan, K. Kaluzynski, J. D-'hooge, J. Zmigrodzki et al., A Dual-Chamber, Thick-Walled Cardiac Phantom for Use in??Cardiac Motion and Deformation Imaging by Ultrasound, Ultrasound in Medicine & Biology, vol.36, issue.7, pp.1145-1156, 2010.
DOI : 10.1016/j.ultrasmedbio.2010.04.008

K. Surry, H. Austin, A. Fenster, and T. 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

B. Heyde, S. Cygan, H. Choi, B. Lesniak-plewinska, D. Barbosa et al., Fig. 8., IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.59, issue.4, pp.668-682, 2011.
DOI : 10.1109/TUFFC.2012.2245/mm4

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.

M. Sermesant, R. Chabiniok, P. Chinchapatnam, T. Mansi, F. Billet et al., Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: A preliminary clinical validation, Medical Image Analysis, vol.16, issue.1, pp.201-215, 2011.
DOI : 10.1016/j.media.2011.07.003

S. Marchesseau, H. Delingette, M. Sermesant, K. Rhode, S. Duckett et al., Cardiac Mechanical Parameter Calibration Based on the Unscented Transform, Medical Image Computing and Computer Assisted Intervention, 2012.
DOI : 10.1007/978-3-642-33418-4_6
URL : https://hal.archives-ouvertes.fr/hal-00813848

I. Gorman, J. Gupta, K. Streicher, J. Gorman, R. Jackson et al., Dynamic three-dimensional imaging of the mitral valve and left ventricle by rapid sonomicrometry array localization, The Journal of Thoracic and Cardiovascular Surgery, vol.112, issue.3, pp.712-724, 1996.
DOI : 10.1016/S0022-5223(96)70056-9