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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 Advanced Normalization Tools for Cardiac Motion Correction
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    Chapter 2 Deformable Image Registration and Intensity Correction of Cardiac Perfusion MRI
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    Chapter 3 Comparison of Linear and Non-linear 2D+T Registration Methods for DE-MRI Cardiac Perfusion Studies
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    Chapter 4 Motion Correction for Dynamic Contrast-Enhanced CMR Perfusion Images Using a Consecutive Finite Element Model Warping
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    Chapter 5 Deformable and Rigid Model-Based Image Registration for Quantitative Cardiac Perfusion
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    Chapter 6 Automatic Perfusion Analysis Using Phase-Based Registration and Object-Based Image Analysis
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    Chapter 7 Left Ventricular Diastolic and Systolic Material Property Estimation from Image Data
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    Chapter 8 Evaluation of Personalised Canine Electromechanical Models
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    Chapter 9 Connection Forms for Beating the Heart
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    Chapter 10 Patient–Specific Parameter Estimation for a Transversely Isotropic Active Strain Model of Left Ventricular Mechanics
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    Chapter 11 Estimation of Diastolic Biomarkers: Sensitiviy to Fibre Orientation
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    Chapter 12 Fully-Coupled Electromechanical Simulations of the LV Dog Anatomy Using HPC: Model Testing and Verification
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    Chapter 13 STACOM Challenge: Simulating Left Ventricular Mechanics in the Canine Heart
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    Chapter 14 Identifying Myocardial Mechanical Properties from MRI Using an Orthotropic Constitutive Model
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    Chapter 15 Evaluating Local Contractions from Large Deformations Using Affine Invariant Spectral Geometry
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    Chapter 16 Image-Based View-Angle Independent Cardiorespiratory Motion Gating for X-ray-Guided Interventional Electrophysiology Procedures
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    Chapter 17 Analysis of Mitral Valve Motion in 4D Transesophageal Echocardiography for Transcatheter Aortic Valve Implantation
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    Chapter 18 Structural Abnormality Detection of ARVC Patients via Localised Distance-to-Average Mapping
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    Chapter 19 Joint Myocardial Motion and Contraction Phase Estimation from Cine MRI Using Variational Data Assimilation
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    Chapter 20 Segmentation of the Aortic Valve Apparatus in 3D Echocardiographic Images: Deformable Modeling of a Branching Medial Structure
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    Chapter 21 Estimation of Regional Electrical Properties of the Heart from 12-Lead ECG and Images
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    Chapter 22 Multi-source Motion Decoupling Ablation Catheter Guidance for Electrophysiology Procedures
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    Chapter 23 Statistical Model of Paroxysmal Atrial Fibrillation Catheter Ablation Targets for Pulmonary Vein Isolation
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    Chapter 24 Factors Affecting Optical Flow Performance in Tagging Magnetic Resonance Imaging
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    Chapter 25 Multi-modal Validation Framework of Mitral Valve Geometry and Functional Computational Models
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    Chapter 26 Robust Detection of Mitral Papillary Muscle from 4D Transesophageal Echocardiography
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    Chapter 27 Reusability of Statistical Shape Models for the Segmentation of Severely Abnormal Hearts
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    Chapter 28 Registration of Real-Time and Prior Imaging Data with Applications to MR Guided Cardiac Interventions
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    Chapter 29 Restoration of Phase-Contrast Cardiovascular MRI for the Construction of Cardiac Contractility Atlases
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    Chapter 30 Manifold Learning for Cardiac Modeling and Estimation Framework
Attention for Chapter 26: Robust Detection of Mitral Papillary Muscle from 4D Transesophageal Echocardiography
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Chapter title
Robust Detection of Mitral Papillary Muscle from 4D Transesophageal Echocardiography
Chapter number 26
Book title
Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges
Published by
Springer, Cham, September 2014
DOI 10.1007/978-3-319-14678-2_26
Book ISBNs
978-3-31-914677-5, 978-3-31-914678-2
Authors

Mihai Scutaru, Ingmar Voigt, Tommaso Mansi, Anand Tatpati, Razvan Ionasec, Helene Houle, Dorin Comaniciu, Scutaru, Mihai, Voigt, Ingmar, Mansi, Tommaso, Tatpati, Anand, Ionasec, Razvan, Houle, Helene, Comaniciu, Dorin

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 43%
Researcher 2 29%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 2 29%
Engineering 2 29%
Medicine and Dentistry 1 14%
Unknown 2 29%

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