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Functional Imaging and Modeling of the Heart

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Cover of 'Functional Imaging and Modeling of the Heart'

Table of Contents

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    Book Overview
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    Chapter 1 Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects
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    Chapter 2 Steps Towards Quantification of the Cardiological Stress Exam
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    Chapter 3 Personalization of Atrial Electrophysiology Models from Decapolar Catheter Measurements
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    Chapter 4 Automatic LV Feature Detection and Blood-Pool Tracking from Multi-plane TEE Time Series
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    Chapter 5 Assessment of Septal Motion Abnormalities in Left Bundle Branch Block Patients Using Computer Simulations
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    Chapter 6 Quantifying Structural and Functional Differences Between Normal and Fibrotic Ventricles
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    Chapter 7 Sparsity and Biomechanics Inspired Integration of Shape and Speckle Tracking for Cardiac Deformation Analysis
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    Chapter 8 Characterization of Myocardial Velocities by Multiple Kernel Learning: Application to Heart Failure with Preserved Ejection Fraction
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    Chapter 9 Quantitative Analysis of Lead Position vs. Correction of Electrical Dyssynchrony in an Experimental Model of LBBB/CRT
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    Chapter 10 Principal Component Analysis for the Classification of Cardiac Motion Abnormalities Based on Echocardiographic Strain and Strain Rate Imaging
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    Chapter 11 Prediction of Clinical Information from Cardiac MRI Using Manifold Learning
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    Chapter 12 Revealing Differences in Anatomical Remodelling of the Systemic Right Ventricle
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    Chapter 13 Assessment of Myofiber Orientation in High Resolution Phase-Contrast CT Images
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    Chapter 14 Sensitivity Analysis of Diffusion Tensor MRI in Simulated Rat Myocardium
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    Chapter 15 3D Farnebäck Optic Flow for Extended Field of View of Echocardiography
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    Chapter 16 Towards Automatic Assessment of the Mitral Valve Coaptation Zone from 4D Ultrasound
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    Chapter 17 Field-Based Parameterisation of Cardiac Muscle Structure from Diffusion Tensors
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    Chapter 18 Left Atrial Segmentation from 3D Respiratory- and ECG-gated Magnetic Resonance Angiography
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    Chapter 19 A Comprehensive Framework for the Characterization of the Complete Mitral Valve Geometry for the Development of a Population-Averaged Model
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    Chapter 20 Very High-Resolution Imaging of Post-Mortem Human Cardiac Tissue Using X-Ray Phase Contrast Tomography
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    Chapter 21 Viewpoint Recognition in Cardiac CT Images
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    Chapter 22 Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI
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    Chapter 23 Cardiac Fibers Estimation from Arbitrarily Spaced Diffusion Weighted MRI
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    Chapter 24 Cardiac Motion Estimation Using Ultrafast Ultrasound Imaging Tested in a Finite Element Model of Cardiac Mechanics
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    Chapter 25 Quantification of Gaps in Ablation Lesions Around the Pulmonary Veins in Delayed Enhancement MRI
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    Chapter 26 Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation
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    Chapter 27 Fuzzy Segmentation of the Left Ventricle in Cardiac MRI Using Physiological Constraints
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    Chapter 28 Subject Independent Reference Frame for the Left Ventricular Detailed Cardiac Anatomy
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    Chapter 29 Application of Diffuse Optical Reflectance to Measure Myocardial Wall Thickness and Presence of Infarct Scar: A Monte Carlo Simulation Study
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    Chapter 30 Automated Quantification of Myocardial Infarction Using a Hidden Markov Random Field Model and the EM Algorithm
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    Chapter 31 Cross-Frame Ultrasonic Color Doppler Flow Heart Image Unwrapping
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    Chapter 32 Orthogonal Shape Modes Describing Clinical Indices of Remodeling
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    Chapter 33 A Framework for Determination of Heart Valves’ Mechanical Properties Using Inverse-Modeling Approach
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    Chapter 34 Patient-Specific Biomechanical Modeling of Cardiac Amyloidosis – A Case Study
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    Chapter 35 Relationship Between Cardiac Electrical and Mechanical Activation Markers by Coupling Bidomain and Deformation Models
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    Chapter 36 Influence of Polivinylalcohol Cryogel Material Model in FEM Simulations on Deformation of LV Phantom
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    Chapter 37 Image-Derived Human Left Ventricular Modelling with Fluid-Structure Interaction
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    Chapter 38 Functional Imaging and Modeling of the Heart
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    Chapter 39 Finite Element Simulations Explore a Novel Strategy for Surgical Repair of Congenital Aortic Valve Insufficiency
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    Chapter 40 Determining Anisotropic Myocardial Stiffness from Magnetic Resonance Elastography: A Simulation Study
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    Chapter 41 Myocardial Stiffness Estimation: A Novel Cost Function for Unique Parameter Identification
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    Chapter 42 Hemodynamics in Aortic Regurgitation Simulated Using a Computational Cardiovascular System Model
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    Chapter 43 How to Choose Myofiber Orientation in a Biventricular Finite Element Model?
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    Chapter 44 Microstructural Remodelling and Mechanics of Hypertensive Heart Disease
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    Chapter 45 Inverse Problem of Electrocardiography: Estimating the Location of Cardiac Ischemia in a 3D Realistic Geometry
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    Chapter 46 Sequential State Estimation for Electrophysiology Models with Front Level-Set Data Using Topological Gradient Derivations
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    Chapter 47 The Role of Endocardial Trabeculations in Low-Energy Defibrillation
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    Chapter 48 Computational Modelling of Low Voltage Resonant Drift of Scroll Waves in the Realistic Human Atria
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    Chapter 49 Efficient Numerical Schemes for Computing Cardiac Electrical Activation over Realistic Purkinje Networks: Method and Verification
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    Chapter 50 Left and Right Atrial Contribution to the P-wave in Realistic Computational Models
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    Chapter 51 Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study
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    Chapter 52 Issues in Modeling Cardiac Optical Mapping Measurements
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    Chapter 53 Data-Driven Model Reduction for Fast, High Fidelity Atrial Electrophysiology Computations
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    Chapter 54 Sensitivity of the Electrocardiography Inverse Solution to the Torso Conductivity Uncertainties
Attention for Chapter 21: Viewpoint Recognition in Cardiac CT Images
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Chapter title
Viewpoint Recognition in Cardiac CT Images
Chapter number 21
Book title
Functional Imaging and Modeling of the Heart
Published by
Springer, Cham, June 2015
DOI 10.1007/978-3-319-20309-6_21
Book ISBNs
978-3-31-920308-9, 978-3-31-920309-6
Authors

Mehdi Moradi, Noel C. Codella, Tanveer Syeda-Mahmood, Moradi, Mehdi, Codella, Noel C., Syeda-Mahmood, Tanveer

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 20%
Researcher 1 20%
Student > Doctoral Student 1 20%
Unknown 2 40%
Readers by discipline Count As %
Computer Science 2 40%
Agricultural and Biological Sciences 1 20%
Unknown 2 40%

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