A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging

[1]  Xiantong Zhen,et al.  Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation , 2016, Medical Image Anal..

[2]  Alejandro F. Frangi,et al.  An Algorithm for the Segmentation of Highly Abnormal Hearts Using a Generic Statistical Shape Model , 2016, IEEE Transactions on Medical Imaging.

[3]  Xiantong Zhen,et al.  Direct and Simultaneous Four-Chamber Volume Estimation by Multi-Output Regression , 2015, MICCAI.

[4]  Matt A. Bernstein,et al.  Cardiovascular magnetic resonance phase contrast imaging , 2015, Journal of Cardiovascular Magnetic Resonance.

[5]  Kumaradevan Punithakumar,et al.  Right ventricular segmentation in cardiac MRI with moving mesh correspondences , 2015, Comput. Medical Imaging Graph..

[6]  Jürgen Weese,et al.  Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets , 2015, IEEE Transactions on Medical Imaging.

[7]  Pingkun Yan,et al.  Feature competition and partial sparse shape modeling for cardiac image sequences segmentation , 2015, Neurocomputing.

[8]  Mehmet Akcakaya,et al.  A segmented modified look-locker inversion recovery (MOLLI) sequence for high heart rate T1 mapping of mice , 2015, Journal of Cardiovascular Magnetic Resonance.

[9]  Alejandro F Frangi,et al.  Automatic cardiac LV segmentation in MRI using modified graph cuts with smoothness and interslice constraints , 2014, Magnetic resonance in medicine.

[10]  Denis Friboulet,et al.  Fast automatic myocardial segmentation in 4D cine CMR datasets , 2014, Medical Image Anal..

[11]  Mostafa Ghelich Oghli,et al.  Right Ventricle Functional Parameters Estimation in Arrhythmogenic Right Ventricular Dysplasia Using a Robust Shape Based Deformable Model , 2014, Journal of medical signals and sensors.

[12]  Vijay K. Devabhaktuni,et al.  Fast, accurate, and fully automatic segmentation of the right ventricle in short-axis cardiac MRI , 2014, Comput. Medical Imaging Graph..

[13]  D. Mahapatra,et al.  Analyzing Training Information From Random Forests for Improved Image Segmentation , 2014, IEEE Transactions on Image Processing.

[14]  Terry M. Peters,et al.  Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features , 2014, IEEE Transactions on Medical Imaging.

[15]  F. Epstein,et al.  Semi-automated left ventricular segmentation based on a guide point model approach for 3D cine DENSE cardiovascular magnetic resonance , 2014, Journal of Cardiovascular Magnetic Resonance.

[16]  Bin Gu,et al.  Direct Estimation of Cardiac Biventricular Volumes With an Adapted Bayesian Formulation , 2014, IEEE Transactions on Biomedical Engineering.

[17]  Terry M. Peters,et al.  Left ventricle segmentation in MRI via convex relaxed distribution matching , 2013, Medical Image Anal..

[18]  Yi Gao,et al.  Automatic Segmentation of the Left Atrium From MR Images via Variational Region Growing With a Moments-Based Shape Prior , 2013, IEEE Transactions on Image Processing.

[19]  Piotr J. Slomka,et al.  Multiphase segmentation using an implicit dual shape prior: Application to detection of left ventricle in cardiac MRI , 2013, Comput. Vis. Image Underst..

[20]  Su Ruan,et al.  Graph cut segmentation with a statistical shape model in cardiac MRI , 2013, Comput. Vis. Image Underst..

[21]  Yunde Jia,et al.  Segmentation of the left ventricle in cardiac cine MRI using a shape-constrained snake model , 2013, Comput. Vis. Image Underst..

[22]  Amir A. Amini,et al.  A survey of shaped-based registration and segmentation techniques for cardiac images , 2013, Comput. Vis. Image Underst..

[23]  Xiahai Zhuang,et al.  Challenges and methodologies of fully automatic whole heart segmentation: a review. , 2013, Journal of healthcare engineering.

[24]  G. Wright,et al.  Automatic functional analysis of left ventricle in cardiac cine MRI. , 2013, Quantitative imaging in medicine and surgery.

[25]  Dong Wei,et al.  Three-dimensional segmentation of the left ventricle in late gadolinium enhanced MR images of chronic infarction combining long- and short-axis information , 2013, Medical Image Anal..

[26]  Sébastien Ourselin,et al.  Multi-atlas Propagation Whole Heart Segmentation from MRI and CTA Using a Local Normalised Correlation Coefficient Criterion , 2013, FIMH.

[27]  Scott D Flamm,et al.  Standardized image interpretation and post processing in cardiovascular magnetic resonance: Society for Cardiovascular Magnetic Resonance (SCMR) Board of Trustees Task Force on Standardized Post Processing , 2013, Journal of Cardiovascular Magnetic Resonance.

[28]  Huaifei Hu,et al.  Hybrid segmentation of left ventricle in cardiac MRI using Gaussian-mixture model and region restricted dynamic programming. , 2013, Magnetic resonance imaging.

[29]  Reza Aghaeizadeh Zoroofi,et al.  4D statistical shape modeling of the left ventricle in cardiac MR images , 2013, International Journal of Computer Assisted Radiology and Surgery.

[30]  Dudley J Pennell,et al.  Reference right atrial dimensions and volume estimation by steady state free precession cardiovascular magnetic resonance , 2013, Journal of Cardiovascular Magnetic Resonance.

[31]  Daniel Rueckert,et al.  A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images , 2013, IEEE Transactions on Medical Imaging.

[32]  Su-Lin Lee,et al.  A General Framework for Context-Specific Image Segmentation Using Reinforcement Learning , 2013, IEEE Transactions on Medical Imaging.

[33]  Nassir Navab,et al.  Segmentation by retrieval with guided random walks: Application to left ventricle segmentation in MRI , 2013, Medical Image Anal..

[34]  V. Wright,et al.  Transthoracic delivery of large devices into the left ventricle through the right ventricle and interventricular septum: preclinical feasibility , 2013, Journal of Cardiovascular Magnetic Resonance.

[35]  Dwarikanath Mahapatra,et al.  Cardiac Image Segmentation from Cine Cardiac MRI Using Graph Cuts and Shape Priors , 2013, Journal of Digital Imaging.

[36]  Max Wintermark,et al.  Perfusion MRI: the five most frequently asked clinical questions. , 2013, AJR. American journal of roentgenology.

[37]  Omer Berenfeld,et al.  Automated segmentation and reconstruction of patient-specific cardiac anatomy and pathology from in vivo MRI* , 2012 .

[38]  Helko Lehmann,et al.  Automatic Multi-model-Based Segmentation of the Left Atrium in Cardiac MRI Scans , 2012, MICCAI.

[39]  A. Santos,et al.  Segmentation of RV in 4D cardiac MR volumes using region-merging graph cuts , 2012, 2012 Computing in Cardiology.

[40]  J. Grapsa,et al.  The association of clinical outcome with right atrial and ventricular remodelling in patients with pulmonary arterial hypertension: study with real-time three-dimensional echocardiography. , 2012, European heart journal cardiovascular Imaging.

[41]  F. Ståhlberg,et al.  Cardiac output and cardiac index measured with cardiovascular magnetic resonance in healthy subjects, elite athletes and patients with congestive heart failure , 2012, Journal of Cardiovascular Magnetic Resonance.

[42]  John Eng,et al.  Normal Left Ventricular Myocardial Thickness for Middle-Aged and Older Subjects With Steady-State Free Precession Cardiac Magnetic Resonance: The Multi-Ethnic Study of Atherosclerosis , 2012, Circulation. Cardiovascular imaging.

[43]  Emile A. Hendriks,et al.  Cardiac MR perfusion image processing techniques: A survey , 2012, Medical Image Anal..

[44]  M. Motwani,et al.  High-Resolution Versus Standard-Resolution Cardiovascular MR Myocardial Perfusion Imaging for the Detection of Coronary Artery Disease , 2012, Circulation. Cardiovascular imaging.

[45]  Amine Chikh,et al.  Endocardial Border Detection in Cardiac Magnetic Resonance Images Using Level Set Method , 2012, Journal of Digital Imaging.

[46]  Ayman El-Baz,et al.  Accurate Automatic Analysis of Cardiac Cine Images , 2012, IEEE Transactions on Biomedical Engineering.

[47]  John Gorcsan,et al.  Echocardiographic assessment of myocardial strain. , 2011, Journal of the American College of Cardiology.

[48]  Caroline Petitjean,et al.  Automatic cardiac ventricle segmentation in MR images: a validation study , 2011, International Journal of Computer Assisted Radiology and Surgery.

[49]  Wieslaw Lucjan Nowinski,et al.  An Image-Based Comprehensive Approach for Automatic Segmentation of Left Ventricle from Cardiac Short Axis Cine MR Images , 2011, Journal of Digital Imaging.

[50]  E. H. Ibrahim,et al.  Myocardial tagging by Cardiovascular Magnetic Resonance: evolution of techniques--pulse sequences, analysis algorithms, and applications , 2011, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[51]  Marcos Martín-Fernández,et al.  Unsupervised 4D myocardium segmentation with a Markov Random Field based deformable model , 2011, Medical Image Anal..

[52]  Bennett A. Landman,et al.  Robust Statistical Label Fusion Through Consensus Level, Labeler Accuracy, and Truth Estimation (COLLATE) , 2011, IEEE Transactions on Medical Imaging.

[53]  Caroline Petitjean,et al.  A review of segmentation methods in short axis cardiac MR images , 2011, Medical Image Anal..

[54]  D N Ghista,et al.  Impact of surgical ventricular restoration on ventricular shape, wall stress, and function in heart failure patients. , 2011, American journal of physiology. Heart and circulatory physiology.

[55]  Paul F. Whelan,et al.  A Novel Model-Based 3D ${+}$Time Left Ventricular Segmentation Technique , 2011, IEEE Transactions on Medical Imaging.

[56]  Patrick Clarysse,et al.  A dynamic elastic model for segmentation and tracking of the heart in MR image sequences , 2010, Medical Image Anal..

[57]  Daniel Rueckert,et al.  Automatic Segmentation of Left Atrial Geometry from Contrast-Enhanced Magnetic Resonance Images Using a Probabilistic Atlas , 2010, STACOM/CESC.

[58]  Michel Couprie,et al.  Segmentation of 4D cardiac MRI: Automated method based on spatio-temporal watershed cuts , 2010, Image Vis. Comput..

[59]  Mert R. Sabuncu,et al.  A Generative Model for Image Segmentation Based on Label Fusion , 2010, IEEE Transactions on Medical Imaging.

[60]  Sébastien Ourselin,et al.  A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI , 2010, IEEE Transactions on Medical Imaging.

[61]  Yi Wang,et al.  Automatic Left Ventricle Segmentation Using Iterative Thresholding and an Active Contour Model With Adaptation on Short-Axis Cardiac MRI , 2010, IEEE Transactions on Biomedical Engineering.

[62]  James S. Duncan,et al.  Segmentation of the Left Ventricle From Cardiac MR Images Using a Subject-Specific Dynamical Model , 2010, IEEE Transactions on Medical Imaging.

[63]  Olivier Ecabert,et al.  Optimizing boundary detection via Simulated Search with applications to multi-modal heart segmentation , 2010, Medical Image Anal..

[64]  Milan Sonka,et al.  4-D Cardiac MR Image Analysis: Left and Right Ventricular Morphology and Function , 2010, IEEE Transactions on Medical Imaging.

[65]  E. Nagel,et al.  Quantification in cardiac MRI: advances in image acquisition and processing , 2010, The International Journal of Cardiovascular Imaging.

[66]  O. Simonetti,et al.  T2 quantification for improved detection of myocardial edema , 2009, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[67]  Nael F Osman,et al.  Journal of Cardiovascular Magnetic Resonance Open Access Myocardial Tissue Tagging with Cardiovascular Magnetic Resonance , 2009 .

[68]  Y. Kim,et al.  Left atrial volume index: a predictor of adverse outcome in patients with hypertrophic cardiomyopathy. , 2009, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[69]  É. Mousseaux,et al.  Semi-automated cardiac segmentation on cine magnetic resonance images using GVF-Snake deformable models , 2009, The MIDAS Journal.

[70]  A. Klein,et al.  Right atrial volume index in chronic systolic heart failure and prognosis. , 2009, JACC. Cardiovascular imaging.

[71]  Ioannis A. Kakadiaris,et al.  Localization and Segmentation of Left Ventricle in Cardiac Cine-MR Images , 2009, IEEE Transactions on Biomedical Engineering.

[72]  Hamid Abrishami Moghaddam,et al.  Quantitative analysis of left ventricular performance from sequences of cardiac magnetic resonance imaging using active mesh model , 2009, Comput. Medical Imaging Graph..

[73]  Carlos Ortiz-de-Solorzano,et al.  Combination Strategies in Multi-Atlas Image Segmentation: Application to Brain MR Data , 2009, IEEE Transactions on Medical Imaging.

[74]  Alejandro F. Frangi,et al.  Automated Detection of Regional Wall Motion Abnormalities Based on a Statistical Model Applied to Multislice Short-Axis Cardiac MR Images , 2009, IEEE Transactions on Medical Imaging.

[75]  Christine H. Lorenz,et al.  Motion-guided segmentation for cine DENSE MRI , 2009, Medical Image Anal..

[76]  K. Steding,et al.  Normal values for wall thickening by magnetic resonance imaging , 2009, Journal of Cardiovascular Magnetic Resonance.

[77]  H. Arheden,et al.  Myocardium at risk and myocardial salvage after acute infarction in humans; quantification by magnetic resonance imaging , 2009, Journal of Cardiovascular Magnetic Resonance.

[78]  P. Kilner,et al.  The effects of breath-holding on pulmonary regurgitation measured by cardiovascular magnetic resonance velocity mapping , 2009, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[79]  N. Osman,et al.  Strain‐encoded (SENC) magnetic resonance imaging to evaluate regional heterogeneity of myocardial strain in healthy volunteers: Comparison with conventional tagging , 2009, Journal of magnetic resonance imaging : JMRI.

[80]  Alan S. Willsky,et al.  Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects , 2008, IEEE Transactions on Image Processing.

[81]  Hans-Peter Meinzer,et al.  Statistical shape models for 3D medical image segmentation: A review , 2009, Medical Image Anal..

[82]  Maria Drangova,et al.  Subject-specific models for image-guided cardiac surgery , 2008, Physics in medicine and biology.

[83]  Gabriel P Krestin,et al.  Accurate automatic papillary muscle identification for quantitative left ventricle mass measurements in cardiac magnetic resonance imaging. , 2008, Academic radiology.

[84]  Boudewijn P. F. Lelieveldt,et al.  A 3-D Active Shape Model Driven by Fuzzy Inference: Application to Cardiac CT and MR , 2008, IEEE Transactions on Information Technology in Biomedicine.

[85]  Yi Wang,et al.  Left ventricle: automated segmentation by using myocardial effusion threshold reduction and intravoxel computation at MR imaging. , 2008, Radiology.

[86]  Juha Koikkalainen,et al.  Methods of Artificial Enlargement of the Training Set for Statistical Shape Models , 2008, IEEE Transactions on Medical Imaging.

[87]  Wiro J Niessen,et al.  Automatic image‐driven segmentation of the ventricles in cardiac cine MRI , 2008, Journal of magnetic resonance imaging : JMRI.

[88]  Dimitris N. Metaxas,et al.  Metamorphs: Deformable Shape and Appearance Models , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[89]  N. Codella,et al.  Effects of papillary muscles and trabeculae on left ventricular quantification: increased impact of methodological variability in patients with left ventricular hypertrophy , 2008, Journal of hypertension.

[90]  John K. Tsotsos,et al.  Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI , 2008, Medical Image Anal..

[91]  Eigil Samset,et al.  Unifying Statistical Classification and Geodesic Active Regions for Segmentation of Cardiac MRI , 2008, IEEE Transactions on Information Technology in Biomedicine.

[92]  Leon Axel,et al.  Semiautomated Segmentation of Myocardial Contours for Fast Strain Analysis in Cine Displacement-Encoded MRI , 2008, IEEE Transactions on Medical Imaging.

[93]  Paul F. Whelan,et al.  Segmentation of the Left Ventricle of the Heart in 3-D+t MRI Data Using an Optimized Nonrigid Temporal Model , 2008, IEEE Transactions on Medical Imaging.

[94]  J. Bronzwaer,et al.  Prognostic value of right ventricular mass, volume, and function in idiopathic pulmonary arterial hypertension. , 2007, European heart journal.

[95]  Guang-Zhong Yang,et al.  Outlier Detection and Handling for Robust 3-D Active Shape Models Search , 2007, IEEE Transactions on Medical Imaging.

[96]  Dudley J Pennell,et al.  Reference right ventricular systolic and diastolic function normalized to age, gender and body surface area from steady-state free precession cardiovascular magnetic resonance. , 2006, European heart journal.

[97]  C. Mathers,et al.  Projections of Global Mortality and Burden of Disease from 2002 to 2030 , 2006, PLoS medicine.

[98]  Marie-Pierre Jolly,et al.  Automatic Segmentation of the Left Ventricle in Cardiac MR and CT Images , 2006, International Journal of Computer Vision.

[99]  Marcel Breeuwer,et al.  Automatic Contour Propagation in Cine Cardiac Magnetic Resonance Images , 2006, IEEE Transactions on Medical Imaging.

[100]  Daniel Rueckert,et al.  Automatic anatomical brain MRI segmentation combining label propagation and decision fusion , 2006, NeuroImage.

[101]  James B Seward,et al.  Left atrial size: physiologic determinants and clinical applications. , 2006, Journal of the American College of Cardiology.

[102]  Ioannis A. Kakadiaris,et al.  Automated left ventricular segmentation in cardiac MRI , 2006, IEEE Transactions on Biomedical Engineering.

[103]  Kim L. Boyer,et al.  A New Deformable Model for Boundary Tracking in Cardiac MRI and Its Application to the Detection of Intra-Ventricular Dyssynchrony , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[104]  Paul F. Whelan,et al.  Left-ventricle myocardium segmentation using a coupled level-set with a priori knowledge , 2006, Comput. Medical Imaging Graph..

[105]  S. Lai,et al.  Cardiovascular function in multi-ethnic study of atherosclerosis: normal values by age, sex, and ethnicity. , 2006, AJR. American journal of roentgenology.

[106]  Michael Jerosch-Herold,et al.  Left Ventricular Papillary Muscle Mass: Relationship to Left Ventricular Mass and Volumes by Magnetic Resonance Imaging , 2006, Journal of computer assisted tomography.

[107]  James B Seward,et al.  Prediction of cardiovascular outcomes with left atrial size: is volume superior to area or diameter? , 2006, Journal of the American College of Cardiology.

[108]  James B Seward,et al.  Left atrial volume predicts cardiovascular events in patients originally diagnosed with lone atrial fibrillation: three-decade follow-up. , 2006, European heart journal.

[109]  Norbert Rahn,et al.  Automatic Left Atrium Segmentation by Cutting the Blood Pool at Narrowings , 2005, MICCAI.

[110]  J. Salonen,et al.  Left atrium size and the risk of cardiovascular death in middle-aged men. , 2005, Archives of internal medicine.

[111]  Françoise J. Prêteux,et al.  A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures , 2005, Medical Image Anal..

[112]  Leon Axel,et al.  Tagged Magnetic Resonance Imaging of the Heart: a Survey , 2004 .

[113]  Jinn-Yi Yeh,et al.  Myocardial border detection by branch-and-bound dynamic programming in magnetic resonance images , 2005, Comput. Methods Programs Biomed..

[114]  Olga Bondarenko,et al.  Effect of endocardial trabeculae on left ventricular measurements and measurement reproducibility at cardiovascular MR imaging. , 2005, Radiology.

[115]  Juha Koikkalainen,et al.  Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images , 2004, Medical Image Anal..

[116]  James B Seward,et al.  Left atrial volume in the prediction of first ischemic stroke in an elderly cohort without atrial fibrillation. , 2004, Mayo Clinic proceedings.

[117]  William M. Wells,et al.  Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation , 2004, IEEE Transactions on Medical Imaging.

[118]  Hervé Delingette,et al.  Deformable biomechanical models: Application to 4D cardiac image analysis , 2003, Medical Image Anal..

[119]  Jürgen Weese,et al.  Automated segmentation of the left ventricle in cardiac MRI , 2004, Medical Image Anal..

[120]  Daniel Rueckert,et al.  Segmentation of 4D Cardiac MR Images Using a Probabilistic Atlas and the EM Algorithm , 2003, MICCAI.

[121]  R. Kim,et al.  How we perform delayed enhancement imaging. , 2003, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[122]  Alejandro F. Frangi,et al.  Independent component analysis in statistical shape models , 2003, SPIE Medical Imaging.

[123]  V Positano,et al.  Automated cardiac MR image segmentation: theory and measurement evaluation. , 2003, Medical engineering & physics.

[124]  James B Seward,et al.  Left atrial volume as a morphophysiologic expression of left ventricular diastolic dysfunction and relation to cardiovascular risk burden. , 2002, The American journal of cardiology.

[125]  Nikos Paragios,et al.  A Variational Approach for the Segmentation of the Left Ventricle in Cardiac Image Analysis , 2002, International Journal of Computer Vision.

[126]  R. Favaloro,et al.  Right atrial size and tricuspid regurgitation severity predict mortality or transplantation in primary pulmonary hypertension. , 2002, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[127]  Milan Sonka,et al.  3-D active appearance models: segmentation of cardiac MR and ultrasound images , 2002, IEEE Transactions on Medical Imaging.

[128]  Nicos Maglaveras,et al.  Model-based processing scheme for quantitative 4-D cardiac MRI analysis , 2002, IEEE Transactions on Information Technology in Biomedicine.

[129]  M. Cerqueira,et al.  Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. , 2002, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

[130]  Andrzej Materka,et al.  Two-phase active contour method for semiautomatic segmentation of the heart and blood vessels from MRI images for 3D visualization. , 2002, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[131]  D. Pennell,et al.  Cardiovascular magnetic resonance , 2001, Heart.

[132]  Jerry L Prince,et al.  Imaging longitudinal cardiac strain on short‐axis images using strain‐encoded MRI , 2001, Magnetic resonance in medicine.

[133]  C. Taylor,et al.  Active Appearance Models , 2001, ECCV.

[134]  Milan Sonka,et al.  Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac MR images , 2001, IEEE Transactions on Medical Imaging.

[135]  J B Seward,et al.  Left atrial volume: important risk marker of incident atrial fibrillation in 1655 older men and women. , 2001, Mayo Clinic proceedings.

[136]  L. Vese,et al.  Active contours without edges , 2001, IEEE Trans. Image Process..

[137]  B. Lorell,et al.  Left ventricular hypertrophy: pathogenesis, detection, and prognosis. , 2000, Circulation.

[138]  N. Sharpe,et al.  Left ventricular remodeling after myocardial infarction: pathophysiology and therapy. , 2000, Circulation.

[139]  Alex M. Andrew,et al.  Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science (2nd edition) , 2000 .

[140]  C Cosco,et al.  Continuous relation between left ventricular mass and cardiovascular risk in essential hypertension. , 2000, Hypertension.

[141]  H. Wen,et al.  DENSE: displacement encoding with stimulated echoes in cardiac functional MRI. , 1999, Journal of magnetic resonance.

[142]  P. Marino,et al.  Increasing degrees of left ventricular filling impairment modulate left atrial function in humans. , 1998, The American journal of cardiology.

[143]  R B D'Agostino,et al.  Left atrial size and the risk of stroke and death. The Framingham Heart Study. , 1995, Circulation.

[144]  Baba C. Vemuri,et al.  Shape Modeling with Front Propagation: A Level Set Approach , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[145]  Timothy F. Cootes,et al.  Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..

[146]  Aeilko H. Zwinderman,et al.  Magnetic Resonance Imaging During Dobutamine Stress for Detection and Localization of Coronary Artery Disease: Quantitative Wall Motion Analysis Using a Modification of the Centerline Method , 1994, Circulation.

[147]  Luc Vincent,et al.  Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[148]  R. Edelman,et al.  Cineangiography of the heart in a single breath hold with a segmented turboFLASH sequence. , 1991, Radiology.

[149]  C. Higgins,et al.  Occlusive and reperfused myocardial infarcts: differentiation with Mn-DPDP--enhanced MR imaging. , 1989, Radiology.

[150]  L. Axel,et al.  MR imaging of motion with spatial modulation of magnetization. , 1989, Radiology.

[151]  E. Zerhouni,et al.  Human heart: tagging with MR imaging--a method for noninvasive assessment of myocardial motion. , 1988, Radiology.

[152]  J. Sethian,et al.  Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .

[153]  Y. Sohn,et al.  Left ventricular mass and systolic performance in chronic systemic hypertension. , 1986, The American journal of cardiology.

[154]  N. Schiller,et al.  Normal left atrial function determined by 2-dimensional echocardiography. , 1983, The American journal of cardiology.

[155]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[156]  Daniel Rueckert,et al.  Multi-atlas segmentation with augmented features for cardiac MR images , 2015, Medical Image Anal..

[157]  Daniel Rueckert,et al.  Right ventricle segmentation from cardiac MRI: A collation study , 2015, Medical Image Anal..

[158]  M. Essig,et al.  Perfusion MRI: the five most frequently asked technical questions. , 2013, AJR. American journal of roentgenology.

[159]  D. Rueckert,et al.  Multi-Atlas Based Segmentation with Local Label Fusion for Right Ventricle MR Images , 2012 .

[160]  Shuo Li,et al.  Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure , 2012, Medical Image Anal..

[161]  B. Norrving,et al.  Global atlas on cardiovascular disease prevention and control. , 2011 .

[162]  Guang-Zhong Yang,et al.  An Inter-Landmark Approach to 4-D Shape Extraction and Interpretation: Application to Myocardial Motion Assessment in MRI , 2011, IEEE Transactions on Medical Imaging.

[163]  A. Alwan.  Global status report on noncommunicable diseases 2010. , 2011 .

[164]  Xiaoxu Wang,et al.  Automated 3D Motion Tracking Using Gabor Filter Bank, Robust Point Matching, and Deformable Models , 2010, IEEE Transactions on Medical Imaging.

[165]  D. Pennell,et al.  Normalized left ventricular systolic and diastolic function by steady state free precession cardiovascular magnetic resonance. , 2006, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[166]  Stefan Neubauer,et al.  Normal human left and right ventricular and left atrial dimensions using steady state free precession magnetic resonance imaging. , 2005, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[167]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[168]  B. Sievers,et al.  Journal of Cardiovascular Magnetic Resonance Impact of Papillary Muscles in Ventricular Volume and Ejection Fraction Assessment by Cardiovascular Magnetic Resonance , 2022 .

[169]  Alejandro F Frangi,et al.  Active shape models with invariant optimal features (IOF-ASM) application to cardiac MRI segmentation , 2003, Computers in Cardiology, 2003.

[170]  Gunnar Seemann,et al.  Functional Imaging and Modeling of the Heart , 2003, Lecture Notes in Computer Science.

[171]  Alejandro F. Frangi,et al.  Three-dimensional modeling for functional analysis of cardiac images, a review , 2001, IEEE Transactions on Medical Imaging.

[172]  Jerry L. Prince,et al.  Measurement of Cardiac Deformations from MRI: Physical and Mathematical Models , 2001, Computational Imaging and Vision.

[173]  S. Osher,et al.  Algorithms Based on Hamilton-Jacobi Formulations , 1988 .