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

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

Table of Contents

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    Book Overview
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    Chapter 1 Study on Hemodynamics in Patient-Specific Thoracic Aortic Coarctation Model
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    Chapter 2 Quantitative Hemodynamic Evaluation in Children with Coarctation of Aorta: Phase Contrast Cardiovascular MRI versus Computational Fluid Dynamics
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    Chapter 3 Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
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    Chapter 4 A 1D Lumped-Parameter/3D CFD Approach for Pressure Drop in the Aortic Coarctation
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    Chapter 5 Aortic Coarctation Simulation Based on the Lattice Boltzmann Method: Benchmark Results
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    Chapter 6 CFD Challenge: Hemodynamic Simulation of a Patient-Specific Aortic Coarctation Model with Adjoint-Based Calibrated Windkessel Elements
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    Chapter 7 Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI
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    Chapter 8 Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
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    Chapter 9 Infarct Segmentation of the Left Ventricle Using Graph-Cuts
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    Chapter 10 Hierarchical Conditional Random Fields for Myocardium Infarction Detection
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    Chapter 11 Mixture-Model-Based Segmentation of Myocardial Delayed Enhancement MRI
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    Chapter 12 Infarct Segmentation Challenge on Delayed Enhancement MRI of the Left Ventricle
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    Chapter 13 Discriminative Context Modeling Using Auxiliary Markers for LV Landmark Detection from a Single MR Image
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    Chapter 14 Landmark Detection in Cardiac MRI Using Learned Local Image Statistics
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    Chapter 15 Computational and Physical Phantom Setups for the Second Cardiac Motion Analysis Challenge (cMAC2)
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    Chapter 16 Temporal Diffeomorphic Free Form Deformation to Quantify Changes Induced by Left and Right Bundle Branch Block and Pacing
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    Chapter 17 Three-Dimensional Cardiac Motion Estimation Based on Non-rigid Image Registration Using a Novel Transformation Model Adapted to the Heart
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    Chapter 18 Motion Estimation in 3D Echocardiography Using Smooth Field Registration
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    Chapter 19 Monogenic Phase Based Optical Flow Computation for Myocardial Motion Analysis in 3D Echocardiography
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    Chapter 20 Quadrature Filter Based Motion Analysis for 3D Ultrasound Sequences
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    Chapter 21 Evaluation of iLogDemons Algorithm for Cardiac Motion Tracking in Synthetic Ultrasound Sequence
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    Chapter 22 An Atlas for Cardiac MRI Regional Wall Motion and Infarct Scoring
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    Chapter 23 Real-Time Catheter Extraction from 2D X-Ray Fluoroscopic and 3D Echocardiographic Images for Cardiac Interventions
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    Chapter 24 Measurement of Myocardial Structure: 3D Structure Tensor Analysis of High Resolution MRI Quantitatively Compared to DT-MRI
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    Chapter 25 A Fast and Noise-Robust Method for Computation of Intravascular Pressure Difference Maps from 4D PC-MRI Data
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    Chapter 26 Robust and Accurate Diaphragm Border Detection in Cardiac X-Ray Angiographies
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    Chapter 27 Modeling of the Optical Behavior of Myocardial Fibers in Polarized Light Imaging
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    Chapter 28 Quantification of Transvalvular Flow through Composite Gaussian Surfaces from Temporally Interleaved Multi-view 3D Colour Doppler Images
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    Chapter 29 What a Difference in Biomechanics Cardiac Fiber Makes
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    Chapter 30 Generalized Step Criterion Edge Detectors for Kalman Filter Based Left Ventricle Tracking in 3D+T Echocardiography
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    Chapter 31 Multi-resolution DT-MRI Cardiac Tractography
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    Chapter 32 From Image to Personalized Cardiac Simulation: Encoding Anatomical Structures into a Model-Based Segmentation Framework
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    Chapter 33 A Near-Incompressible Poly-affine Motion Model for Cardiac Function Analysis
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    Chapter 34 Towards Real-Time Computation of Cardiac Electrophysiology for Training Simulator
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    Chapter 35 Automated Personalised Human Left Ventricular FE Models to Investigate Heart Failure Mechanics
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    Chapter 36 Feasibility Study of Looped-Catheter-Based 2D-3D Image Registration of CT and X-Rays for Cardiac Catheterization Procedures in a Phantom Experiment
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    Chapter 37 A Pre-clinical Framework to Characterize Peri-infarct Remodelling Using in vivo T 1 Maps and CARTO Data
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    Chapter 38 Exercise Induced Inter-individual Variation of Right Ventricular Pressures: Simulations Using a Modular Model of the Cardiovascular System
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    Chapter 39 Improving Clinical Translation of Cardiovascular Circulatory Models through an Intuitive Graphical User Interface to CircAdapt, Presenting Simulation Results as Clinical Images and Signals
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    Chapter 40 Integrating Fiber Orientation Constraint into a Spatio-temporal FEM Model for Heart Borders and Motion Tracking in Dynamic MRI
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    Chapter 41 In vivo Contact EP Data and ex vivo MR-Based Computer Models: Registration and Model-Dependent Errors
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    Chapter 42 Understanding Hemodynamics and Its Determinant Factors in Type B Aortic Dissections Using an Equivalent Lumped Model
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Title
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
Published by
Springer Berlin Heidelberg, April 2013
DOI 10.1007/978-3-642-36961-2
ISBNs
978-3-64-236960-5, 978-3-64-236961-2
Editors

Camara, Oscar, Mansi, Tommaso, Pop, Mihaela, Rhode, Kawal, Sermesant, Maxime, Young, Alistair

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 3%
United States 2 2%
Netherlands 2 2%
China 2 2%
France 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Turkey 1 <1%
Denmark 1 <1%
Other 0 0%
Unknown 92 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 31%
Student > Master 25 24%
Researcher 16 15%
Student > Bachelor 5 5%
Student > Postgraduate 5 5%
Other 22 21%
Readers by discipline Count As %
Engineering 43 41%
Computer Science 33 31%
Medicine and Dentistry 9 8%
Unspecified 6 6%
Physics and Astronomy 4 4%
Other 11 10%