Functional Imaging and Modeling of the Heart

Table of Contents

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   Book Overview
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   Chapter 1 Transcriptomic Approaches to Modelling Long Term Changes in Human Cardiac Electrophysiology
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   Chapter 2 Virtual Catheter Ablation of Target Areas Identified from Image-Based Models of Atrial Fibrillation
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   Chapter 3 Deep Learning Formulation of ECGI for Data-Driven Integration of Spatiotemporal Correlations and Imaging Information
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   Chapter 4 Spatial Downsampling of Surface Sources in the Forward Problem of Electrocardiography
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   Chapter 5 GRÖMeR: A Pipeline for Geodesic Refinement of Mesh Registration
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   Chapter 6 A Numerical Method for the Optimal Adjustment of Parameters in Ionic Models Accounting for Restitution Properties
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   Chapter 7 EP-Net: Learning Cardiac Electrophysiology Models for Physiology-Based Constraints in Data-Driven Predictions
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   Chapter 8 Pipeline to Build and Test Robust 3D T1 Mapping-Based Heart Models for EP Interventions: Preliminary Results
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    Chapter 9 Maximal Conductances Ionic Parameters Estimation in Cardiac Electrophysiology Multiscale Modelling
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    Chapter 10 Standard Quasi-Conformal Flattening of the Right and Left Atria
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    Chapter 11 A Spatial Adaptation of the Time Delay Neural Network for Solving ECGI Inverse Problem
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    Chapter 12 On Sampling Spatially-Correlated Random Fields for Complex Geometries
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    Chapter 13 Interpolating Low Amplitude ECG Signals Combined with Filtering According to International Standards Improves Inverse Reconstruction of Cardiac Electrical Activity
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    Chapter 14 Model Assessment Through Data Assimilation of Realistic Data in Cardiac Electrophysiology
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    Chapter 15 Fibrillation Patterns Creep and Jump in a Detailed Three-Dimensional Model of the Human Atria
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    Chapter 16 Tissue Drives Lesion: Computational Evidence of Interspecies Variability in Cardiac Radiofrequency Ablation
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    Chapter 17 Correcting Undersampled Cardiac Sources in Equivalent Double Layer Forward Simulations
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    Chapter 18 Left Ventricular Shape and Motion Reconstruction Through a Healthy Model for Characterizing Remodeling After Infarction
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    Chapter 19 Towards Automated Quantification of Atrial Fibrosis in Images from Catheterized Fiber-Optics Confocal Microscopy Using Convolutional Neural Networks
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    Chapter 20 High-Resolution Ex Vivo Microstructural MRI After Restoring Ventricular Geometry via 3D Printing
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    Chapter 21 Synchrotron X-Ray Phase Contrast Imaging and Deep Neural Networks for Cardiac Collagen Quantification in Hypertensive Rat Model
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    Chapter 22 3D High Resolution Imaging of Human Heart for Visualization of the Cardiac Structure
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    Chapter 23 Investigating the 3D Local Myocytes Arrangement in the Human LV Mid-Wall with the Transverse Angle
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    Chapter 24 Development of a Computational Fluid Dynamics (CFD)-Model of the Arterial Epicardial Vasculature
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    Chapter 25 Mesh Based Approximation of the Left Ventricle Using a Controlled Shrinkwrap Algorithm
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    Chapter 26 A Computational Approach on Sensitivity of Left Ventricular Wall Strains to Geometry
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    Chapter 27 A Simple Multi-scale Model to Evaluate Left Ventricular Growth Laws
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    Chapter 28 Modeling Cardiac Growth: An Alternative Approach
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    Chapter 29 Minimally-Invasive Estimation of Patient-Specific End-Systolic Elastance Using a Biomechanical Heart Model
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    Chapter 30 Domain Adaptation via Dimensionality Reduction for the Comparison of Cardiac Simulation Models
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    Chapter 31 Large Scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions
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    Chapter 32 Model of Left Ventricular Contraction: Validation Criteria and Boundary Conditions
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    Chapter 33 End-Diastolic and End-Systolic LV Morphology in the Presence of Cardiovascular Risk Factors: A UK Biobank Study
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    Chapter 34 Solution to the Unknown Boundary Tractions in Myocardial Material Parameter Estimations
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    Chapter 35 Fully Automated Electrophysiological Model Personalisation Framework from CT Imaging
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    Chapter 36 Validation of Equilibrated Warping—Image Registration with Mechanical Regularization—On 3D Ultrasound Images
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    Chapter 37 Ventricle Surface Reconstruction from Cardiac MR Slices Using Deep Learning
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    Chapter 38 FR-Net: Joint Reconstruction and Segmentation in Compressed Sensing Cardiac MRI
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    Chapter 39 SMOD - Data Augmentation Based on Statistical Models of Deformation to Enhance Segmentation in 2D Cine Cardiac MRI
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    Chapter 40 Comparing Subjects with Reference Populations - A Visualization Toolkit for the Analysis of Aortic Anatomy and Pressure Distribution
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    Chapter 41 Model-Based Indices of Early-Stage Cardiovascular Failure and Its Therapeutic Management in Fontan Patients
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    Chapter 42 3D Coronary Vessel Tree Tracking in X-Ray Projections
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    Chapter 43 Interactive-Automatic Segmentation and Modelling of the Mitral Valve
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    Chapter 44 Cardiac Displacement Tracking with Data Assimilation Combining a Biomechanical Model and an Automatic Contour Detection
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    Chapter 45 An Adversarial Network Architecture Using 2D U-Net Models for Segmentation of Left Ventricle from Cine Cardiac MRI
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    Chapter 46 Analysis of Three-Chamber View Tagged Cine MRI in Patients with Suspected Hypertrophic Cardiomyopathy