. Alfakih, Assessment of ventricular function and mass by cardiac magnetic resonance imaging, European Radiology, vol.14, issue.10, pp.1813-1822, 2004.
DOI : 10.1007/s00330-004-2387-0

T. Andreopoulos, A. Andreopoulos, and J. Tsotsos, Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI, Medical Image Analysis, vol.12, issue.3, pp.335-357, 2008.
DOI : 10.1016/j.media.2007.12.003

. Atkinson, First-pass cardiac perfusion: evaluation with ultrafast MR imaging., Radiology, vol.174, issue.3, pp.575-762, 1990.
DOI : 10.1148/radiology.174.3.2305058

. Baron, Quantification of myocardial oedema and necrosis during acute myocardial infarct, Computers in Cardiology, 2008.

. Beek, Delayed contrast-enhanced magnetic resonance imaging for the prediction of regional functional improvement after acute myocardial infarction, Journal of the American College of Cardiology, vol.42, issue.5, pp.895-901, 2003.
DOI : 10.1016/S0735-1097(03)00835-0

M. Berger, . France, A. Bistoquet, J. Oshinski, and O. Skrinjar, Les contours actifs : modélisation, comportement et convergence Myocardial deformation recovery from cine MRI using a nearly incompressible biventricular model, Bistoquet et al. Medical Image Analysis, vol.12, pp.69-85, 1991.

. Blake, . Zisserman, A. Blake, and A. Zisserman, Visual Reconstruction, 1987.

. Borer, Importance of Right Ventricular Performance Measurement in Selecting Asymptomatic Patients with Mitral Regurgitation for Valve Surgery, Advances in Cardiology, vol.39, pp.144-152, 2002.
DOI : 10.1159/000058921

. Braunwald, . Kloner, E. Braunwald, and R. Kloner, The stunned myocardium: prolonged, postischemic ventricular dysfunction, Circulation, vol.66, issue.6, pp.1146-1149, 1982.
DOI : 10.1161/01.CIR.66.6.1146

R. Braunwald, E. Braunwald, and J. Rutherford, Reversible ischemic left ventricular dysfunction: Evidence for the ???hibernating myocardium???, Journal of the American College of Cardiology, vol.8, issue.6, pp.1467-1470, 1986.
DOI : 10.1016/S0735-1097(86)80325-4

B. Brent, R. California, and U. Buller, Algorithms for finding zeros and extrema of functions without calculating derivatives Assessment of regional left ventricular wall parameters from short axis magnetic resonance imaging using a three-dimensional extension to the improved centerline method, Investigative Radiology, vol.32, pp.529-539, 1971.

. Caiani, The Role of Still?Frame Parametric Imaging in Magnetic Resonance Assessment of Left Ventricular Wall Motion by Non?cardiologists, Journal of Cardiovascular Magnetic Resonance, vol.6, issue.3, pp.619-625, 2004.
DOI : 10.1081/JCMR-120038083

. Caselles, A geometric model for active contours in image processing, Numerische Mathematik, vol.36, issue.4, pp.1-31, 1993.
DOI : 10.1007/BF01385685

. Caselles, Geodesic active contours Geodesic active contours, Fifth International Conference on Computer Vision, pp.694-69961, 1995.
DOI : 10.1109/iccv.1995.466871

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

. Cerqueira, Standardized Myocardial Segmentation and Nomenclature for Tomographic Imaging of the Heart, Journal of Cardiovascular Magnetic Resonance, vol.4, issue.2, pp.539-542, 2002.
DOI : 10.1081/JCMR-120003946

P. Charbonnier, Reconstruction d'images : régularisation avec prise en compte des discontinuités, 1994.

K. Chen, A feature preserving adaptive smoothing method for early vision, 1999.

V. Cheng, F. Cheng, and A. Venetsanopoulos, An adaptive morphological filter for image processing, IEEE Transactions on Image Processing, vol.1, issue.4, pp.533-539, 1992.
DOI : 10.1109/83.199924

. Chenoune, Segmentation of cardiac cine-MR images and myocardial deformation assessment using level set methods, Computerized Medical Imaging and Graphics, vol.29, issue.8, pp.607-616, 2005.
DOI : 10.1016/j.compmedimag.2005.09.002

J. Chevrel, Anatomie clinique : Le tronc, 1994.

P. Ciarlet, F. Dunod, and . Ciofolo, IntroductionàIntroductionà l'analyse numérique matricielle etàetà l'optimisation Automatic myocardium segmentation in late-enhancement MRI Automated, Accurate and fast Segmentation of cardiac MR Images, IEEE [Cousty et al, pp.474-483, 1998.

S. Cristianini, N. Cristianini, and J. Shawe-taylor, An Introduction to Support Vector Machines and other kernel-based learning methods, 2000.
DOI : 10.1017/CBO9780511801389

. Dacher, Plans de Coupe en IRM Cardiaque, Journal de Radiologie, vol.85, issue.1, pp.11-16, 2004.
DOI : 10.1016/S0221-0363(04)97538-5

C. De, Z. Cesare, A. Zeboudj, and R. , Algorithmes rapides de restauration de signaux avec prise en compte de discontinuités, GRETSI, pp.1347-1350, 1997.

. Deanfield, Management of Grown Up Congenital Heart Disease, European Heart Journal, vol.24, issue.11, pp.1035-1084, 2003.
DOI : 10.1016/S0195-668X(03)00131-3

H. Delingette and J. Montagnat, Shape and Topology Constraints on Parametric Active Contours, Computer Vision and Image Understanding, vol.83, issue.2, pp.140-171, 2001.
DOI : 10.1006/cviu.2001.0920

URL : https://hal.archives-ouvertes.fr/inria-00072773

. Desgrez, Bases physiques de l'IRM : Cahiers d'imagerie par résonance magnétique, 1994.

. Dikici, Quantification of Delayed Enhancement MR Images, Medical Image Computing and Computer Assisted Intervention (MICCAI), pp.250-257, 2004.
DOI : 10.1007/978-3-540-30135-6_31

. Berbari, An automated myocardial segmentation in cardiac MRI, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4508-4511, 2007.
DOI : 10.1109/IEMBS.2007.4353341

URL : https://hal.archives-ouvertes.fr/inserm-00194347

. Berbari, Automated Segmentation of the Left Ventricle Including Papillary Muscles in Cardiac Magnetic Resonance Images, Fourth International Conference on Functional Imaging and Modeling of the Heart (FIMH), pp.453-462, 2007.
DOI : 10.1007/978-3-540-72907-5_46

. Berbari, Développement etévaluationetévaluation d'une méthode de segmentation automatique de l'endocarde sur des images acquises par résonance magnétique, ITBM-RBM, vol.28, pp.117-123, 2007.

. Berbari, Using cine MR images to evaluate myocardial infarct transmurality on delayed enhancement images, IEEE International Symposium on Biomedical Imaging : From Nano to Macro (ISBI), pp.145-148, 2006.

. Berbari, An automated estimation of regional mean contraction times and radial velocities from cine magnetic resonance images. evaluation in normal subjects, Journal of Magnetic Resonance Imaging, 2008.

. Berbari, An automated evaluation of regional left ventricular function on cine magnetic resonance images, 2008 Computers in Cardiology, 2008.
DOI : 10.1109/CIC.2008.4749157

S. Evans, L. Evans, and J. Spruck, Motion of level sets by mean curvature. I, Journal of Differential Geometry, vol.33, issue.3, pp.635-681, 1991.
DOI : 10.4310/jdg/1214446559

K. Fenster, S. Fenster, and J. Kender, Sectored snakes: evaluating learned-energy segmentations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.9, pp.1028-1034, 2001.
DOI : 10.1109/34.955115

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

. Fernandes, The Influence of Left Ventricular Size and Global Function on Regional Myocardial Contraction and Relaxation in an Adult Population Free of Cardiovascular Disease: A Tagged CMR Study of the MESA Cohort, Journal of Cardiovascular Magnetic Resonance, vol.9, issue.6, pp.921-930, 2007.
DOI : 10.1080/10976640701693824

G. Foliguet, S. Foliguet, and L. Guigues, Evaluation de la segmentation d'images : ´ etat de l'art, nouveaux indices et comparaison, Traitement du Signal, vol.23, issue.2, pp.109-123, 2006.

. Frangi, Three-dimensional modeling for functional analysis of cardiac images, a review, IEEE Transactions on Medical Imaging, vol.20, issue.1, pp.2-25, 2001.
DOI : 10.1109/42.906421

. Frangi, Automatic construction of multiple-object three-dimensional statistical shape models: application to cardiac modeling, IEEE Transactions on Medical Imaging, vol.21, issue.9, pp.1151-1166, 2002.
DOI : 10.1109/TMI.2002.804426

H. Frank and M. Netter, Interactive atlas of human anatomy, 1997.

. Fukami, Quantitative evaluation of myocardial function by a volume-normalized map generated from relative blood flow, Physics in Medicine and Biology, vol.52, issue.14, pp.4311-4330, 2007.
DOI : 10.1088/0031-9155/52/14/019

. Garreau, . Lalande, M. Garreau, and A. Lalande, Evaluation des algorithmes de segmentation d'images, 2008.

. Geiger, Dynamic programming for detecting, tracking, and matching deformable contours, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.17, issue.3, pp.294-302, 1995.
DOI : 10.1109/34.368194

. Geman, S. Mcclure-]-geman, and D. Mcclure, Statistical methods for tomographic image reconstruction, LII, editor, Bulletin of the International Statistical Institute, pp.5-21, 1987.

. Gerber, Myocardial first-pass perfusion cardiovascular magnetic resonance: history, theory, and current state of the art, Journal of Cardiovascular Magnetic Resonance, vol.10, issue.1, pp.10-18, 2008.
DOI : 10.1186/1532-429X-10-18

. Gerber, Relation Between Gd-DTPA Contrast Enhancement and Regional Inotropic Response in the Periphery and Center of Myocardial Infarction, Circulation, vol.104, issue.9, pp.998-1004, 2001.
DOI : 10.1161/hc3401.095113

. Giraldi, A boundary extraction method based on Dual-T-Snakes and dynamic programming, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), pp.44-49, 2000.
DOI : 10.1109/CVPR.2000.855797

. Goshtasby, . Turner, A. Goshtasby, and D. Turner, Segmentation of cardiac cine MR images for extraction of right and left ventricular chambers, IEEE Transactions on Medical Imaging, vol.14, issue.1, pp.56-64, 1995.
DOI : 10.1109/42.370402

. Graves, A multicenter validation of an active contour-based left ventricular analysis technique, Journal of Magnetic Resonance Imaging, vol.12, issue.2, pp.232-241, 2000.
DOI : 10.1002/1522-2586(200008)12:2<232::AID-JMRI4>3.0.CO;2-A

P. J. Green, Bayesian reconstructions from emission tomography data using a modified EM algorithm, IEEE Transactions on Medical Imaging, vol.9, issue.1, pp.84-93, 1990.
DOI : 10.1109/42.52985

. Götte, Quantification of regional contractile function after infarction: strain analysis superior to wall thickening analysis in discriminating infarct from remote myocardium, Journal of the American College of Cardiology, vol.37, issue.3, pp.808-817, 2001.
DOI : 10.1016/S0735-1097(00)01186-4

. Hammermeister, Regional variation in the timing and extent of left ventricular wall motion in normal subjects., Heart, vol.56, issue.3, pp.226-235, 1986.
DOI : 10.1136/hrt.56.3.226

. He, A comparative study of deformable contour methods on medical image segmentation, Image and Vision Computing, vol.26, issue.2, pp.141-163, 2008.
DOI : 10.1016/j.imavis.2007.07.010

L. Hebert, T. Hebert, and R. Leahy, A generalized EM algorithm for 3-D Bayesian reconstruction from Poisson data using Gibbs priors, IEEE Transactions on Medical Imaging, vol.8, issue.2, pp.194-202, 1989.
DOI : 10.1109/42.24868

. Hestenes, M. R. Hestenes, and E. Stiefel, Methods of conjugate gradients for solving linear systems, Journal of Research of the National Bureau of Standards, vol.49, issue.6, pp.409-436, 1952.
DOI : 10.6028/jres.049.044

. Heyndrickx, Regional myocardial functional and electrophysiological alterations after brief coronary artery occlusion in conscious dogs., Journal of Clinical Investigation, vol.56, issue.4, pp.978-985, 1975.
DOI : 10.1172/JCI108178

. Hoffmann, Analysis of Regional Left Ventricular Function by Cineventriculography, Cardiac Magnetic Resonance Imaging, and Unenhanced and Contrast-Enhanced Echocardiography, Journal of the American College of Cardiology, vol.47, issue.1, pp.121-128, 2006.
DOI : 10.1016/j.jacc.2005.10.012

. Hsu, Quantitative myocardial infarction on delayed enhancement MRI. Part II: Clinical application of an automated feature analysis and combined thresholding infarct sizing algorithm, Journal of Magnetic Resonance Imaging, vol.44, issue.3, pp.309-314, 2006.
DOI : 10.1002/jmri.20495

. Hsu, Quantitative myocardial infarction on delayed enhancement MRI. Part I: Animal validation of an automated feature analysis and combined thresholding infarct sizing algorithm, Journal of Magnetic Resonance Imaging, vol.38, issue.3, pp.298-308, 2006.
DOI : 10.1002/jmri.20496

P. Huber, Robust Statistics, 1981.
DOI : 10.1002/0471725250

M. Janier, Etude de la perfusion et du métabolisme myocardiques par la TEP et l'IRM. Fondements méthodologiques et applicationàapplicationà l'ischémie, 1998.

. Jerosch-herold, Myocardial blood flow quantification with MRI by model-independent deconvolution, Medical Physics, vol.21, issue.5, pp.886-897, 2002.
DOI : 10.1118/1.1473135

M. Jolly, Automatic Segmentation of the Left Ventricle in Cardiac MR and CT Images, International Journal of Computer Vision, vol.16, issue.4, pp.151-163, 2006.
DOI : 10.1007/s11263-006-7936-3

. Jondeau, Guide pratique de cardiologie, 2002.

N. Kachenoura, Methodes de traitement d'images pour l'´ etude fonctionnelle du ventricule gauche : Application en echographie et en IRM, 2007.

. Kachenoura, Parametric Imaging and Quantification of Left Ventricular Wall Motion from Contrast-Enhanced Echocardiograms in Patients with Poor Acoustic Windows, IEEE Proceedings of Computers in Cardiology, 2008.

. Kachenoura, Evaluation of regional myocardial function using automated wall motion analysis of cine MR images: Contribution of parametric images, contraction times, and radial velocities, Journal of Magnetic Resonance Imaging, vol.81, issue.4, pp.1127-1132, 2007.
DOI : 10.1002/jmri.21103

. Kachenoura, Robust assessment of the transmural extent of myocardial infarction in late gadolinium-enhanced MRI studies using appropriate angular and circumferential subdivision of the myocardium, European Radiology, vol.115, issue.10, pp.2140-2147, 2008.
DOI : 10.1007/s00330-008-0991-0

. Kastler, Comprendre l'IRM, 2000.

. Katouzian, A New Automated Technique for Left- and Right-Ventricular Segmentation in Magnetic Resonance Imaging, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, pp.3074-3077, 2006.
DOI : 10.1109/IEMBS.2006.260405

. Kauss, Automated segmentation of the left ventricle in cardiac MRI, Medical Image Analysis, vol.8, issue.3, pp.245-254, 2004.
DOI : 10.1016/j.media.2004.06.015

. Kim, Relationship of MRI Delayed Contrast Enhancement to Irreversible Injury, Infarct Age, and Contractile Function, Circulation, vol.100, issue.19, pp.1992-2002, 1999.
DOI : 10.1161/01.CIR.100.19.1992

. Kim, Evaluation of Myocardial Viability by MRI, Herz, vol.25, issue.4, pp.471-430, 2000.
DOI : 10.1007/s000590050034

. Kim, The Use of Contrast-Enhanced Magnetic Resonance Imaging to Identify Reversible Myocardial Dysfunction, New England Journal of Medicine, vol.343, issue.20, pp.1445-1453, 2000.
DOI : 10.1056/NEJM200011163432003

. Klein, Assessment of Myocardial Viability With Contrast-Enhanced Magnetic Resonance Imaging: Comparison With Positron Emission Tomography, Circulation, vol.105, issue.2, pp.162-167, 2002.
DOI : 10.1161/hc0202.102123

H. R. Künsch, Robust priors for smoothing and image restoration, Annals of the Institute of Statistical Mathematics, vol.13, issue.1, pp.1-19, 1994.
DOI : 10.1007/BF00773588

. Kolipaka, Segmentation of non-viable myocardium in delayed enhancement magnetic resonance images, The International Journal of Cardiovascular Imaging, vol.101, issue.2-3, pp.303-311, 2005.
DOI : 10.1007/s10554-004-5806-z

. Kvitting, Three?Directional Myocardial Motion Assessed Using 3D Phase Contrast MRI, Journal of Cardiovascular Magnetic Resonance, vol.6, issue.3, pp.627-636, 2004.
DOI : 10.1081/JCMR-120038692

. Lardo, Visualization and Temporal/Spatial Characterization of Cardiac Radiofrequency Ablation Lesions Using Magnetic Resonance Imaging, Circulation, vol.102, issue.6, pp.698-705, 2000.
DOI : 10.1161/01.CIR.102.6.698

. Liu, Improving image segmentation by gradient vector flow and mean shift, Pattern Recognition Letters, vol.29, issue.1, pp.90-95, 2008.
DOI : 10.1016/j.patrec.2007.08.015

. Lorenz, Normal Human Right and Left Ventricular Mass, Systolic Function, and Gender Differences by Cine Magnetic Resonance Imaging, Journal of Cardiovascular Magnetic Resonance, vol.1, issue.1, pp.7-21, 1999.
DOI : 10.3109/10976649909080829

URL : http://doi.org/10.3109/10976649909080829

. Lorenzo-valdès, Segmentation of 4D Cardiac MR Images Using a Probabilistic Atlas and the EM Algorithm, Medical Image Analysis, vol.8, pp.255-265, 2004.
DOI : 10.1007/978-3-540-39899-8_55

. Lynch, Automatic segmentation of the left ventricle cavity and myocardium in MRI data, Computers in Biology and Medicine, vol.36, issue.4, pp.389-407, 2006.
DOI : 10.1016/j.compbiomed.2005.01.005

. Lynch, Segmentation of the Left Ventricle of the Heart in 3-D+t MRI Data Using an Optimized Nonrigid Temporal Model, IEEE Transactions on Medical Imaging, vol.27, issue.2, pp.195-203, 2008.
DOI : 10.1109/TMI.2007.904681

. Malladi, Evolutionary fronts for topology-independent shape modeling and recovery, Proceedings of the European Conference on Computer Vision (ECCV), pp.3-13, 1994.
DOI : 10.1007/3-540-57956-7_1

. Malladi, Shape modeling with front propagation: a level set approach, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.17, issue.2, pp.158-175, 1995.
DOI : 10.1109/34.368173

H. Ma??trema??tre, Les méthodes itératives en traitement du signal, 1982.

T. Mcinerney and D. Terzopoulos, T-snakes: Topology adaptive snakes, Medical Image Analysis, vol.4, issue.2, pp.73-91, 2000.
DOI : 10.1016/S1361-8415(00)00008-6

. Meijster, . Wilkinson, A. Meijster, and M. Wilkinson, Fast computation of morphological area pattern spectra, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), pp.668-671, 2001.
DOI : 10.1109/ICIP.2001.958207

. Meijster, . Wilkinson, A. Meijster, and M. Wilkinson, A comparison of algorithms for connected set openings and closings, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.4, pp.489-494, 2002.
DOI : 10.1109/34.993556

. Mitchell, 3-D active appearance models: segmentation of cardiac MR and ultrasound images, IEEE Transactions on Medical Imaging, vol.21, issue.9, pp.1167-1178, 2002.
DOI : 10.1109/TMI.2002.804425

. Mollet, Visualization of Ventricular Thrombi With Contrast-Enhanced Magnetic Resonance Imaging in Patients With Ischemic Heart Disease, Circulation, vol.106, issue.23, pp.2873-2876, 2002.
DOI : 10.1161/01.CIR.0000044389.51236.91

. Nachtomy, Automatic assessment of cardiac function from short-axis MRI: procedure and clinical evaluation, Magnetic Resonance Imaging, vol.16, issue.4, pp.365-376, 1998.
DOI : 10.1016/S0730-725X(98)80019-2

. Nagel, Noninvasive Diagnosis of Ischemia-Induced Wall Motion Abnormalities With the Use of High-Dose Dobutamine Stress MRI : Comparison With Dobutamine Stress Echocardiography, Circulation, vol.99, issue.6, pp.763-770, 1999.
DOI : 10.1161/01.CIR.99.6.763

. Nguyen, Comparative evaluation of active contour model extensions for automated cardiac MR image segmentation by regional error assessment, Magnetic Resonance Materials in Physics, Biology and Medicine, vol.3, issue.1, pp.69-82, 2007.
DOI : 10.1007/s10334-007-0069-z

. Niwa, Measurement of ventricular volumes by cine magnetic resonance imaging in complex congenital heart disease with morphologically abnormal ventricles, American Heart Journal, vol.131, issue.3, pp.567-575, 1996.
DOI : 10.1016/S0002-8703(96)90538-4

. Noble, The Automatic Identification of Hibernating Myocardium, Medical Image Computing and Computer Assisted Intervention (MICCAI), pp.890-898, 2004.
DOI : 10.1007/978-3-540-30136-3_108

. Noble, Myocardial Delineation via Registration in a Polar Coordinate System, Academic Radiology, vol.10, pp.1349-1358, 2003.
DOI : 10.1007/3-540-45786-0_80

. Noordan, Multivariate image segmentation with cluster size insensitive fuzzy C-Means, pp.65-78, 2002.

T. Ostlad, B. Ostlad, and A. Tonp, Encoding of a priori information in active contour models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, pp.863-872, 1996.

. Paetsch, Comparison of Dobutamine Stress Magnetic Resonance, Adenosine Stress Magnetic Resonance, and Adenosine Stress Magnetic Resonance Perfusion, Circulation, vol.110, issue.7, pp.835-842, 2004.
DOI : 10.1161/01.CIR.0000138927.00357.FB

D. Paragios, N. Paragios, and R. Deriche, Geodesic active region and level set methods for supervised texture segmentation, International Journal of Computer Vision, vol.46, issue.3, pp.223-247, 2002.
DOI : 10.1023/A:1014080923068

. Petersen, Evidence for Microvascular Dysfunction in Hypertrophic Cardiomyopathy: New Insights From Multiparametric Magnetic Resonance Imaging, Circulation, vol.115, issue.18, pp.1152418-2425, 2007.
DOI : 10.1161/CIRCULATIONAHA.106.657023

X. Pham, D. Pham, C. Xu, and J. Prince, A survey of curents methods in medical image segmentation, 1999.

. Pluempitiwiriyawej, STACS: new active contour scheme for cardiac MR image segmentation, IEEE Transactions on Medical Imaging, vol.24, issue.5, pp.593-603, 2005.
DOI : 10.1109/TMI.2005.843740

E. Polak and G. Andribì-ere, Sur la convergence de la méthode des gradients conjugués, pp.35-43, 1969.

. Positano, A Fast and Effective Method to Assess Myocardial Necrosis by Means of Contrast Magnetic Resonance Imaging, Journal of Cardiovascular Magnetic Resonance, vol.7, issue.2, pp.487-494, 2005.
DOI : 10.1081/JCMR-200053630

S. Rahimtoola, The hibernating myocardium, American Heart Journal, vol.117, issue.1, pp.211-221, 1989.
DOI : 10.1016/0002-8703(89)90685-6

. Redheuil, Interobserver Variability in Assessing Segmental Function can be Reduced by Combining Visual Analysis of CMR Cine Sequences with Corresponding Parametric Images of Myocardial Contraction, Journal of Cardiovascular Magnetic Resonance, vol.9, issue.6, pp.863-872, 2007.
DOI : 10.1080/10976640701693626

A. Redington, Right ventricular function, Cardiology Clinics, vol.20, issue.3, pp.341-349, 2002.
DOI : 10.1016/S0733-8651(02)00005-X

. Ricciardi, Visualization of Discrete Microinfarction After Percutaneous Coronary Intervention Associated With Mild Creatine Kinase-MB Elevation, Circulation, vol.103, issue.23, pp.2780-2783, 2001.
DOI : 10.1161/hc2301.092121

. Rominger, Right ventricular volumes and ejection fraction with fast cine MR imaging in breath-hold technique: Applicability, normal values from 52 volunteers, and evaluation of 325 adult cardiac patients, Journal of Magnetic Resonance Imaging, vol.40, issue.6, pp.908-918, 1999.
DOI : 10.1002/(SICI)1522-2586(199912)10:6<908::AID-JMRI2>3.0.CO;2-2

R. Ronfard, Region-based strategies for active contour models, International Journal of Computer Vision, vol.23, issue.3, pp.229-251, 1994.
DOI : 10.1007/BF01427153

URL : https://hal.archives-ouvertes.fr/inria-00544609

. Rosendahl, Computer-assisted calculation of myocardial infarct size shortens the evaluation time of contrast-enhanced cardiac MRI, Clinical Physiology and Functional Imaging, vol.97, issue.0, pp.1-7, 2008.
DOI : 10.1016/S0140-6736(03)12389-6

E. Roullot, Analyse d'images de résonance magnétique pour la caractérisation de la sténose athéromateuse, 2001.

. Roullot, Modeling anisotropic undersampling of magnetic resonance angiographies and reconstruction of a high-resolution isotropic volume using half-quadratic regularization techniques, Signal Processing, vol.84, issue.4, pp.743-762, 2004.
DOI : 10.1016/j.sigpro.2003.12.013

P. Rousson and N. Paragios, Shape Priors for Level Set Representations, Proceedings of the seventh European Conference on Computer Vision (ECCV), pp.78-92, 2002.
DOI : 10.1007/3-540-47967-8_6

. Ruiz-dominguez, Assessment of left ventricular contraction by parametric analysis of main motion (PAMM): theory and application for echocardiography, Physics in Medicine and Biology, vol.50, issue.14, pp.3277-3296, 2005.
DOI : 10.1088/0031-9155/50/14/006

. Salembier, Antiextensive connected operators for image and sequence processing, IEEE Transactions on Image Processing, vol.7, issue.4, pp.555-570, 1998.
DOI : 10.1109/83.663500

. Santarelli, Automated cardiac MR image segmentation: theory and measurement evaluation, Medical Engineering & Physics, vol.25, issue.2, pp.149-159, 2003.
DOI : 10.1016/S1350-4533(02)00144-3

. Selvanayagam, Value of delayed-enhancement cardiovascular magnetic resonance imaging in predicting myocardial viability after surgical revascularization, Circulation, issue.12, pp.1101535-1541, 2004.

J. Sethian, A fast marching level set method for monotonically advancing fronts., Proceedings of the National Academy of Sciences, pp.1591-1595, 1996.
DOI : 10.1073/pnas.93.4.1591

J. Sethian, Level set methods : evolving interfaces in geometry, fluid mechanics, computer vision and materials sciences, 1999.

. Sheehan, Advantages and applications of the centerline method for characterizing regional ventricular function, Circulation, vol.74, issue.2, pp.293-305, 1986.
DOI : 10.1161/01.CIR.74.2.293

. Sheehan, Advantages and applications of the centerline method for characterizing regional ventricular function, Circulation, vol.74, issue.2, pp.293-305, 1986.
DOI : 10.1161/01.CIR.74.2.293

. Simonetti, An Improved MR Imaging Technique for the Visualization of Myocardial Infarction, Radiology, vol.218, issue.1, pp.215-233, 2001.
DOI : 10.1148/radiology.218.1.r01ja50215

. Singleton, . Pohost, H. Singleton, and G. Pohost, Automatic cardiac MR image segmentation using edge detection by tissue classification in pixel neighborhoods, Magnetic Resonance in Medicine, vol.3, issue.3, pp.418-424, 1997.
DOI : 10.1002/mrm.1910370320

. Spreeuwers, Detection of trabeculae and papillary muscles in cardiac MR images, Computers in Cardiology, 2005, pp.415-418, 2005.
DOI : 10.1109/CIC.2005.1588125

L. Spreeuwers and M. Breeuwer, Detection of left ventricular epi- and endocardial borders using coupled active contours, Proceedings of the 17th International Congress and Exhibition in Computer Assisted Radiology and Surgery (CARS), pp.1147-1152, 2003.
DOI : 10.1016/S0531-5131(03)00312-1

J. Suri, Computer Vision, Pattern Recognition and Image Processing in Left Ventricle Segmentation: The Last 50 Years, Pattern Analysis & Applications, vol.3, issue.3, pp.209-242, 2000.
DOI : 10.1007/s100440070008

. Swingen, Evaluation of Myocardial Volume Heterogeneity During End?Diastole and End?Systole Using Cine MRI, Journal of Cardiovascular Magnetic Resonance, vol.6, issue.4, pp.829-835, 2004.
DOI : 10.1081/JCMR-200036147

. Tanki, Quantification of Left Ventricular Volumes from Cardiac Cine MRI Using Active Contour Model Combined with Gradient Vector Flow, Magnetic Resonance Medical Sciences, pp.191-197, 2005.
DOI : 10.2463/mrms.4.191

R. Tarjan, Efficiency of a Good But Not Linear Set Union Algorithm, Journal of the ACM, vol.22, issue.2, pp.215-225, 1975.
DOI : 10.1145/321879.321884

W. Tennant, R. Tennant, and C. Wiggers, The effect of coronary occlusion on myocardial contraction, American Journal of Physiology, vol.112, pp.351-361, 1935.

. Teo, Cardiac MRI Assessment of Left and Right Ventricular Parameters in Healthy Australian Normal Volunteers, Heart, Lung and Circulation, vol.17, issue.4, pp.313-317, 2008.
DOI : 10.1016/j.hlc.2007.11.136

D. Terzopoulos, Regularization of Inverse Visual Problems Involving Discontinuities, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.8, issue.4, pp.413-424, 1986.
DOI : 10.1109/TPAMI.1986.4767807

D. Terzopoulos, On matching deformable models to images : direct and iterative solutions, Topical Meeting on Machine Vision, pp.160-167, 1987.

A. N. Tikhonov, Regularization of incorrectly posed problems, Soviet mathematics Doklady, vol.4, pp.1624-1627, 1963.

J. Vallée, J. Vallée, and M. Jaconi, IRM cardiaque et imagerie moléculaire, Médecine ethygì ene, vol.62, pp.1484-1488, 2004.

. Van-assen, Cardiac LV Segmentation Using a 3D Active Shape Model Driven by Fuzzy Inference, MICCAI, Springer LNCS, pp.533-540, 2003.
DOI : 10.1007/978-3-540-39899-8_66

. Van-geuns, Automatic Quantitative Left Ventricular Analysis of Cine MR Images by Using Three-dimensional Information for Contour Detection, Radiology, vol.240, issue.1, pp.215-221, 2006.
DOI : 10.1148/radiol.2401050471

O. Vignaux, Imagerie cardiaque : Scanner et IRM, 2005.

L. Vincent, Morphological area openings and closings for greyscale images, Proceeding NATO Shape in Picture Workshop, pp.197-208, 1993.
DOI : 10.1007/978-3-662-03039-4_13

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

L. Vincent, Morphological area openings and closings, their efficient implementation and applications, Proceeding EURASIP Workshop on BIBLIOGRAPHIE Mathematical Morphology and its Applications to Signal Processing, pp.22-27, 1993.
DOI : 10.1007/978-3-662-03039-4_13

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

L. Vincent, Morphological grayscale reconstruction in image analysis: applications and efficient algorithms, IEEE Transactions on Image Processing, vol.2, issue.2, pp.176-201, 1993.
DOI : 10.1109/83.217222

. Wagner, Contrast-enhanced MRI and routine single photon emission computed tomography (SPECT) perfusion imaging for detection of subendocardial myocardial infarcts: an imaging study, The Lancet, vol.361, issue.9355, pp.374-379, 2003.
DOI : 10.1016/S0140-6736(03)12389-6

. Wang, Deformable Contour Method: A Constrained Optimization Approach, International Journal of Computer Vision, vol.59, issue.1, pp.87-108, 2004.
DOI : 10.1023/B:VISI.0000020672.14006.ad

. Weinsaft, Left ventricular papillary muscles and trabeculae are significant determinants of cardiac MRI volumetric measurements: Effects on clinical standards in patients with advanced systolic dysfunction, International Journal of Cardiology, vol.126, issue.3, pp.359-365, 2008.
DOI : 10.1016/j.ijcard.2007.04.179

. Wilkinson, Concurrent Computation of Attribute Filters on Shared Memory Parallel Machines, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.10, pp.1800-1813, 2008.
DOI : 10.1109/TPAMI.2007.70836

. Winter, Evaluating the systemic right ventricle by CMR: the importance of consistent and reproducible delineation of the cavity, Journal of Cardiovascular Magnetic Resonance, vol.10, issue.1, p.40, 2008.
DOI : 10.1186/1532-429X-10-40

. Wu, Visualisation of presence, location, and transmural extent of healed Q-wave and non-Q-wave myocardial infarction, The Lancet, vol.357, issue.9249, pp.21-28, 2001.
DOI : 10.1016/S0140-6736(00)03567-4

C. Xu, Deformable models with application to human cerebral cortex reconstruction from Magnetic Resonance Images, 2000.

P. Xu, C. Xu, and J. Prince, Generalized gradient vector flow external forces for active contours, Signal Processing, vol.71, issue.2, pp.131-139, 1998.
DOI : 10.1016/S0165-1684(98)00140-6

P. Xu, C. Xu, and J. Prince, Snakes, Shapes and Gradient Vector Flow, IEEE Transactions on Image Processing, vol.7, pp.359-369, 1998.

Y. Zhu, S. Zhu, and A. Yuille, Region competition: unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation, Proceedings of IEEE International Conference on Computer Vision, pp.884-900, 1996.
DOI : 10.1109/ICCV.1995.466909

. Zwanenburg, Timing of cardiac contraction in humans, 2004.