Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges

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Intro -- Preface -- Organization -- Contents -- Regular Papers -- Automated Model-Based Left Ventricle Segmentation in Cardiac MR Images -- 1 Introduction -- 2 Position and Scale Estimation -- 2.1 Multi-scale HoG Detector -- 3 Segmentation -- 3.1 Project Out Inverse Compositional 3D AAM -- 3.2 Unified Statistical/Deformable Model -- 4 Results -- 5 Conclusion -- References -- Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle -- 1 Introduction -- 2 Methods -- 2.1 Data Description -- 2.2 Motion Tracking -- 2.3 Spatial Normalisation -- 2.4 Motion-Driven Parcellation -- 2.5 Reproducibility Index -- 3 Experiments and Results -- 3.1 Visualisation -- 3.2 Reproducibility -- 3.3 Application: Classification -- 4 Conclusions -- References -- A Non-parametric Statistical Shape Model for Assessment of the Surgically Repaired Aortic Arch in Coarctation of the Aorta: How Normal Is Abnormal? -- 1 Introduction -- 2 Methods -- 2.1 Patient Population -- 2.2 Image Acquisition, Segmentation and Pre-processing of the Surface Models -- 2.3 Expert Assessment of the Aortic Arch Shapes -- 2.4 Computation of the Control Template and its Transformations Towards CoA Subject Shapes -- 2.5 Analysing the Transformations Using Partial Least Squares Regression -- 3 Experiments and Results -- 3.1 Control Template -- 3.2 PLS Regression Results -- 3.3 Comparison of Expert Ranking with Shape Model Results -- 4 Discussion and Conclusion -- References -- Towards Left Ventricular Scar Localisation Using Local Motion Descriptors -- 1 Introduction -- 2 Materials -- 3 Methods -- 3.1 Spatio-Temporal Motion Atlas -- 3.2 Local Motion Descriptors -- 4 Experiments and Results -- 5 Discussion -- References -- Traversed Graph Representation for Sparse Encoding of Macro-Reentrant Tachycardia -- 1 Introduction -- 2 Methods -- 2.1 Data Acquisition

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