Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: 6th International Workshop, STACOM 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers

Front Matter....Pages I-XI
Front Matter....Pages 1-1
Automated Model-Based Left Ventricle Segmentation in Cardiac MR Images....Pages 3-12
Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle....Pages 13-20
A Non-parametric Statistical Shape Model for Assessment of the Surgically Repaired Aortic Arch in Coarctation of the Aorta: How Normal is Abnormal?....Pages 21-29
Towards Left Ventricular Scar Localisation Using Local Motion Descriptors....Pages 30-39
Traversed Graph Representation for Sparse Encoding of Macro-Reentrant Tachycardia....Pages 40-50
Prediction of Infarct Localization from Myocardial Deformation....Pages 51-59
Parameterisation of Multi-directional Diffusion Weighted Magnetic Resonance Images of the Heart....Pages 60-68
Confidence Measures for Assessing the HARP Algorithm in Tagged Magnetic Resonance Imaging....Pages 69-79
Papillary Muscle Segmentation from a Multi-atlas Database: A Feasibility Study....Pages 80-89
Electrophysiology Model for a Human Heart with Ischemic Scar and Realistic Purkinje Network....Pages 90-97
Patient Metadata-Constrained Shape Models for Cardiac Image Segmentation....Pages 98-107
Myocardial Infarct Localization Using Neighbourhood Approximation Forests....Pages 108-116
Front Matter....Pages 117-117
Systo-Diastolic LV Shape Analysis by Geometric Morphometrics and Parallel Transport Highly Discriminates Myocardial Infarction....Pages 119-129
Statistical Shape Modeling Using Partial Least Squares: Application to the Assessment of Myocardial Infarction....Pages 130-139
Classification of Myocardial Infarcted Patients by Combining Shape and Motion Features....Pages 140-145
Detecting Myocardial Infarction Using Medial Surfaces....Pages 146-153
Left Ventricle Classification Using Active Shape Model and Support Vector Machine....Pages 154-161
Supervised Learning of Functional Maps for Infarct Classification....Pages 162-170
Joint Clustering and Component Analysis of Spatio-Temporal Shape Patterns in Myocardial Infarction....Pages 171-179
Myocardial Infarction Detection from Left Ventricular Shapes Using a Random Forest....Pages 180-189
Front Matter....Pages 117-117
Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct....Pages 190-198
Automatic Detection of Cardiac Remodeling Using Global and Local Clinical Measures and Random Forest Classification....Pages 199-207
Automatic Detection of Myocardial Infarction Through a Global Shape Feature Based on Local Statistical Modeling....Pages 208-216
Back Matter....Pages 217-218