Statistical Atlases and Computational Models of the Heart : Imaging and Modelling Challenges - Info and Reading Options

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Title -- Preface -- Organization -- Table of Contents -- EP Simulation Challenge -- EP Challenge - STACOM'11: Forward Approaches to Computational Electrophysiology Using MRI-Based Models and In-Vivo CARTO Mapping in Swine Hearts -- Introduction -- EP-CARTO and DW-MRI Data Acquisition and Processing -- In-Vivo Electrophysiology Study and Ex-Vivo MRI Study -- Fiber Directions from DW-MRI and Histological Evaluation of the Scar -- Forward Problems Applied to Computational Electrophysiology -- A Simple Macroscopic Two-Variable Modelling Approach -- Other Mathematical Models and Computation Results of Forward Problems -- Discussion -- References -- Personalisation of a 3D Ventricular Electrophysiological Model, Using Endocardial and Epicardial Contact Mapping and MRI -- Introduction -- 3D Electrophysiology Model with Chronic Infarction -- Contact Mapping and MR Dataset Processing -- Building Personalised Electrophysiological Model -- Coupled Personalisation Approach (EK-MS) -- Application -- Conclusion -- References -- Transmural Electrophysiologic and Scar Imaging on Porcine Heart with Chronic Infarction -- Introduction -- Methods -- Experimental Setup and Data Processing -- Transmural EP and Scar Imaging -- Results and Discussions -- References -- Motion Tracking Challenge -- A Multimodal Database for the 1st Cardiac Motion Analysis Challenge -- The Challenge -- The Data -- Ultrasound Acquisition -- MR Acquisition -- Distribution -- The Evaluation -- Ground Truth -- 3DUS Quality Assessment -- Results -- Response to the Challenge -- Inter-observer Variability -- Qualitative and Quantitative Results -- Outlook -- References -- Automatic Cardiac Motion Tracking Using Both Untagged and 3D Tagged MR Images -- Introduction -- Spatial and Temporal Correction -- Temporal Alignment -- Spatial Alignment -- Comprehensive Motion Tracking

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