Echocardiographic strain and strain-rate imaging: a new tool to study regional myocardial function, IEEE Transactions on Medical Imaging, vol.21, issue.9, pp.1022-1030, 2002. ,
DOI : 10.1109/TMI.2002.804440
Strain and strain rate imaging: a new clinical approach to quantifying regional myocardial function, Journal of the American Society of Echocardiography, vol.17, issue.7, pp.788-802, 2004. ,
DOI : 10.1016/j.echo.2004.03.027
Myocardial strain imaging: how useful is it in clinical decision making?, European Heart Journal, vol.37, issue.15, 2015. ,
DOI : 10.1093/eurheartj/ehv529
Prognostic implications of global LV dysfunction: a systematic review and meta-analysis of global longitudinal strain and ejection fraction, Heart, vol.12, issue.(Suppl 1), 2014. ,
DOI : 10.1136/heartjnl-2014-305538
Current State of Three-Dimensional Myocardial Strain Estimation Using Echocardiography, Journal of the American Society of Echocardiography, vol.26, issue.1, pp.15-28, 2013. ,
DOI : 10.1016/j.echo.2012.10.005
Current and Evolving Echocardiographic Techniques for the Quantitative Evaluation of Cardiac Mechanics: ASE/EAE Consensus Statement on Methodology and Indications Endorsed by the Japanese Society of Echocardiography, European Journal of Echocardiography, vol.12, issue.3, pp.277-313, 2011. ,
DOI : 10.1093/ejechocard/jer021
A novel method for angle independent ultrasonic imaging of blood flow and tissue motion, IEEE Transactions on Biomedical Engineering, vol.38, issue.3, pp.280-286, 1991. ,
DOI : 10.1109/10.133210
Region-Based Endocardium Tracking on Real-Time Three-Dimensional Ultrasound, Ultrasound in Medicine & Biology, vol.35, issue.2, pp.256-265, 2009. ,
DOI : 10.1016/j.ultrasmedbio.2008.08.012
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
Three-Dimensional Cardiac Strain Imaging in Healthy Children Using RF-Data, Ultrasound in Medicine & Biology, vol.37, issue.9, pp.1399-1408, 2011. ,
DOI : 10.1016/j.ultrasmedbio.2011.05.845
3-D Correlation-Based Speckle Tracking, Ultrasonic Imaging, vol.27, issue.1, pp.21-36, 2005. ,
DOI : 10.1177/016173460502700102
Computing Myocardial Motion in 4-Dimensional Echocardiography, Ultrasound in Medicine & Biology, vol.38, issue.7, pp.1284-1297, 2012. ,
DOI : 10.1016/j.ultrasmedbio.2012.03.007
Monogenic Phase Based Optical Flow Computation for Myocardial Motion Analysis in 3D Echocardiography, Imaging and Modelling Challenges, ser. Lecture Notes in Computer Science, vol.7746, pp.159-168, 2013. ,
DOI : 10.1007/978-3-642-36961-2_19
URL : https://hal.archives-ouvertes.fr/hal-00839223
Image matching as a diffusion process: an analogy with Maxwell's demons, Medical Image Analysis, vol.2, issue.3, pp.243-260, 1998. ,
DOI : 10.1016/S1361-8415(98)80022-4
Fast myocardial motion and strain estimation in 3D cardiac ultrasound with Sparse Demons, 2013 IEEE 10th International Symposium on Biomedical Imaging, pp.1182-1185, 2013. ,
DOI : 10.1109/ISBI.2013.6556691
URL : https://hal.archives-ouvertes.fr/hal-00840038
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
Elastic Image Registration to Quantify 3-D Regional Myocardial Deformation from Volumetric Ultrasound: Experimental Validation in an Animal Model, Ultrasound in Medicine & Biology, vol.39, issue.9, pp.1688-1697, 2013. ,
DOI : 10.1016/j.ultrasmedbio.2013.02.463
A coupled deformable model for tracking myocardial borders from real-time echocardiography using an incompressibility constraint, Medical Image Analysis, vol.14, issue.3, pp.429-448, 2010. ,
DOI : 10.1016/j.media.2010.02.005
Anatomical Image Registration Using Volume Conservation to Assess Cardiac Deformation From 3D Ultrasound Recordings, IEEE Transactions on Medical Imaging, vol.35, issue.2, pp.501-511, 2016. ,
DOI : 10.1109/TMI.2015.2479556
3D Strain Assessment in Ultrasound (Straus): A Synthetic Comparison of Five Tracking Methodologies, IEEE Transactions on Medical Imaging, vol.32, issue.9, pp.1632-1646, 2013. ,
DOI : 10.1109/TMI.2013.2261823
URL : https://hal.archives-ouvertes.fr/hal-00840039
Simulation of realistic echocardiographic sequences for ground-truth validation of motion estimation, 2012 19th IEEE International Conference on Image Processing, pp.2329-2332, 2012. ,
DOI : 10.1109/ICIP.2012.6467363
URL : https://hal.archives-ouvertes.fr/hal-00830363
A Pipeline for the Generation of Realistic 3D Synthetic Echocardiographic Sequences: Methodology and Open-Access Database, IEEE Transactions on Medical Imaging, vol.34, issue.7, pp.1436-1451, 2015. ,
DOI : 10.1109/TMI.2015.2396632
URL : https://hal.archives-ouvertes.fr/hal-01117490
Preliminary specificity study of the Bestel???Cl??ment???Sorine electromechanical model of the heart using parameter calibration from medical images, Journal of the Mechanical Behavior of Biomedical Materials, vol.20, pp.259-271, 2013. ,
DOI : 10.1016/j.jmbbm.2012.11.021
A fast convolutionbased methodology to simulate 2D/3D cardiac ultrasound images, Ultrasonics, Ferroelectrics and Frequency Control IEEE Transactions on, vol.56, issue.2, pp.404-409, 2009. ,
Practical Guidance in Echocardiographic Assessment of Global Longitudinal Strain, JACC: Cardiovascular Imaging, vol.8, issue.4, pp.489-492, 2015. ,
DOI : 10.1016/j.jcmg.2014.06.013
Evaluation of Global Left Ventricular Systolic Function Using Three-Dimensional Echocardiography Speckle-Tracking Strain Parameters, Journal of the American Society of Echocardiography, vol.25, issue.1, pp.68-79, 2012. ,
DOI : 10.1016/j.echo.2011.10.009
Reliability of left ventricular volumes and function measurements using three-dimensional speckle tracking echocardiography, European Heart Journal - Cardiovascular Imaging, vol.13, issue.2, pp.159-168, 2012. ,
DOI : 10.1093/ejechocard/jer174
Elastic registration vs. block matching for quantification of cardiac function with 3D ultrasound: Initial results of a direct comparison in silico based on a new evaluation pipeline, 2014 IEEE International Ultrasonics Symposium, pp.608-611, 2014. ,
DOI : 10.1109/ULTSYM.2014.0149
URL : https://hal.archives-ouvertes.fr/hal-01095790
3D harmonic phase tracking with anatomical regularization, Medical Image Analysis, vol.26, issue.1, 2015. ,
DOI : 10.1016/j.media.2015.08.003
URL : https://hal.archives-ouvertes.fr/hal-01272377
Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach, Biometrics, vol.44, issue.3, pp.837-845, 1988. ,
DOI : 10.2307/2531595
Three-Dimensional Cardiac Motion Estimation Based on Non-rigid Image Registration Using a Novel Transformation Model Adapted to the Heart, Lecture Notes in Computer Science, vol.7746, pp.142-150, 2013. ,
DOI : 10.1007/978-3-642-36961-2_17
Fast left ventricle tracking in CMR images using localized anatomical affine optical flow, Proc. SPIE Medical Imaging, pp.941-306, 2015. ,
Fast and Fully Automatic 3-D Echocardiographic Segmentation Using B-Spline Explicit Active Surfaces: Feasibility Study and Validation in a Clinical Setting, Ultrasound in Medicine & Biology, vol.39, issue.1, pp.89-101, 2013. ,
DOI : 10.1016/j.ultrasmedbio.2012.08.008
URL : https://hal.archives-ouvertes.fr/hal-00796930
Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography, IEEE Transactions on Medical Imaging, vol.35, issue.4, 2015. ,
DOI : 10.1109/TMI.2015.2503890
URL : https://hal.archives-ouvertes.fr/hal-01272359
Multi-centre validation of an automatic algorithm for fast 4D myocardial segmentation in cine CMR datasets, European Heart Journal ??? Cardiovascular Imaging, vol.17, issue.10, 2015. ,
DOI : 10.1093/ehjci/jev247
3D elasticity imaging on an open-chest dog heart, 2009 IEEE International Ultrasonics Symposium, pp.155-158, 2009. ,
DOI : 10.1109/ULTSYM.2009.5441850
Ultrasound image segmentation: a survey, IEEE Transactions on Medical Imaging, vol.25, issue.8, pp.987-1010, 2006. ,
DOI : 10.1109/TMI.2006.877092
URL : https://hal.archives-ouvertes.fr/hal-00338658
Fast myocardial strain estimation from 3D ultrasound through elastic image registration with analytic regularization, Proc. SPIE Medical Imaging ,
A New Technique for the Estimation of Cardiac Motion in Echocardiography Based on Transverse Oscillations: A Preliminary Evaluation In Silico and a Feasibility Demonstration In Vivo, IEEE Transactions on Medical Imaging, vol.33, issue.5, pp.1148-1162, 2014. ,
DOI : 10.1109/TMI.2014.2305846
URL : https://hal.archives-ouvertes.fr/hal-01117833
Electromechanical wave imaging for noninvasive mapping of the 3D electrical activation sequence in canines and humans in vivo, Journal of Biomechanics, vol.45, issue.5, pp.856-864, 2012. ,
DOI : 10.1016/j.jbiomech.2011.11.027
Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography, IEEE Transactions on Medical Imaging, vol.33, issue.6, pp.1275-1289, 2014. ,
DOI : 10.1109/TMI.2014.2308894
Toward understanding response to cardiac resynchronization therapy: left ventricular dyssynchrony is only one of multiple mechanisms, European Heart Journal, vol.30, issue.8, pp.940-949, 2009. ,
DOI : 10.1093/eurheartj/ehn481
URL : https://hal.archives-ouvertes.fr/hal-00913324
Effects of Frame Rate on Three-Dimensional Speckle-Tracking???Based Measurements of Myocardial Deformation, Journal of the American Society of Echocardiography, vol.25, issue.9, pp.978-985, 2012. ,
DOI : 10.1016/j.echo.2012.06.001
Tracking quality in plane-wave versus conventional cardiac ultrasound: A preliminary evaluation in-silico based on a state-of-the-art simulation pipeline, 2015 IEEE International Ultrasonics Symposium (IUS), pp.1-4, 2015. ,
DOI : 10.1109/ULTSYM.2015.0390
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, 2012. ,
DOI : 10.1016/j.media.2011.07.003
Preliminary specificity study of the Bestel???Cl??ment???Sorine electromechanical model of the heart using parameter calibration from medical images, Two-dimensional speckle tracking echocardiography: standardization efforts based on synthetic ultrasound data, pp.259-271, 2013. ,
DOI : 10.1016/j.jmbbm.2012.11.021
Generation of ultra-realistic synthetic echocardiographic sequences to facilitate standardization of deformation imaging, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), pp.756-759, 2015. ,
DOI : 10.1109/ISBI.2015.7163982
URL : https://hal.archives-ouvertes.fr/hal-01117557