M. Pompili, L. Riccardi, M. Covino, B. Barbaro, C. Di-stasi et al., Contrast-enhanced gray-scale harmonic ultrasound in the efficacy assessment of ablation treatments for hepatocellular carcinoma, Liver International, vol.177, issue.3, pp.954-961, 2005.
DOI : 10.1055/s-2004-813245

L. Solbiati, T. Ierace, M. Tonolini, and L. Cova, Guidance and monitoring of radiofrequency liver tumor ablation with contrast-enhanced ultrasound, European Journal of Radiology, vol.51, pp.19-23, 2004.
DOI : 10.1016/j.ejrad.2004.03.035

E. Turgay, S. Salcudean, and R. Rohling, Identifying the mechanical properties of tissue by ultrasound strain imaging, Ultrasound in Medicine & Biology, vol.32, issue.2, pp.221-235, 2006.
DOI : 10.1016/j.ultrasmedbio.2005.09.015

Z. Wen-jing, W. Qing, Y. Yi-yi, F. Qian-jin, and C. Wu-fan, Ultrasound elasticity imaging of thyroid using analytic minimization, Control Conference (CCC), 2012 31st Chinese, pp.4018-4020, 2012.

H. Lin, X. Chen, Y. Guo, Y. Shen, and S. Chen, Quantitative Shear Elasticity Assessment of Liver Fibrosis in Rat Model with Shear Wave Elastography Base on Acoustic Radiation Force, 2014 International Conference on Medical Biometrics, pp.131-134, 2014.
DOI : 10.1109/ICMB.2014.30

S. Billings, N. Deshmukh, H. J. Kang, R. Taylor, and E. M. Boctor, System for robot-assisted real-time laparoscopic ultrasound elastography, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, pp.83-161, 2012.
DOI : 10.1117/12.911086

C. Schneider, A. Baghani, R. Rohling, and S. Salcudean, Remote Ultrasound Palpation for Robotic Interventions Using Absolute Elastography, pp.42-49, 2012.
DOI : 10.1007/978-3-642-33415-3_6

M. A. Bell, I. Sen, P. Iordachita, and . Kazanzides, Force-controlled ultrasound robot for consistent tissue pre-loading: Implications for acoustic radiation force elasticity imaging, 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, pp.259-264, 2014.
DOI : 10.1109/BIOROB.2014.6913786

K. Nichols and A. Okamura, Methods to Segment Hard Inclusions in Soft Tissue During Autonomous Robotic Palpation, IEEE Transactions on Robotics, vol.31, issue.2, pp.344-354, 2015.
DOI : 10.1109/TRO.2015.2402531

P. Chatelain, A. Krupa, and N. Navab, Optimization of ultrasound image quality via visual servoing, 2015 IEEE International Conference on Robotics and Automation (ICRA), pp.5997-6002, 2015.
DOI : 10.1109/ICRA.2015.7140040
URL : https://hal.archives-ouvertes.fr/hal-01121222

M. Rao, Q. Chen, H. Shi, and T. Varghese, Spatial-angular compounding for elastography using beam steering on linear array transducers, Medical Physics, vol.23, issue.3, pp.618-626, 2006.
DOI : 10.1109/58.646923

J. Ophir, Elastography: A Quantitative Method for Imaging the Elasticity of Biological Tissues, Ultrasonic Imaging, vol.13, issue.2, pp.111-134, 1991.
DOI : 10.1177/016173469101300201

A. Pesavento, C. Perrey, M. Krueger, and H. Ermert, A time-efficient and accurate strain estimation concept for ultrasonic elastography using iterative phase zero estimation, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.46, issue.5, pp.1057-1067, 1999.
DOI : 10.1109/58.796111

T. Loupas, J. Powers, and R. Gill, An axial velocity estimator for ultrasound blood flow imaging, based on a full evaluation of the Doppler equation by means of a two-dimensional autocorrelation approach, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.42, issue.4, pp.672-688, 1995.
DOI : 10.1109/58.393110

X. Pan, J. Gao, S. Tao, K. Liu, J. Bai et al., A two-step optical flow method for strain estimation in elastography: Simulation and phantom study, Ultrasonics, vol.54, issue.4, pp.990-996, 2014.
DOI : 10.1016/j.ultras.2013.11.010

B. K. Horn and E. , Robot Vision, 1986.

F. Kallel and J. Ophir, A Least-Squares Strain Estimator for Elastography, Ultrasonic Imaging, vol.19, issue.3, pp.195-208, 1997.
DOI : 10.1177/016173469701900303

F. Chaumette, Image Moments: A General and Useful Set of Features for Visual Servoing, IEEE Transactions on Robotics, vol.20, issue.4, pp.713-723, 2004.
DOI : 10.1109/TRO.2004.829463
URL : https://hal.archives-ouvertes.fr/inria-00352019

J. A. Jensen and P. Munk, Computer Phantoms for Simulating Ultrasound B-Mode and CFM Images, Acoustical imaging, pp.75-80, 1997.
DOI : 10.1007/978-1-4419-8588-0_12

T. Varghese and J. Ophir, An analysis of elastographic contrast-to-noise ratio, Ultrasound in Medicine & Biology, vol.24, issue.6, pp.915-924, 1998.
DOI : 10.1016/S0301-5629(98)00047-7