Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges : 5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers / edited by Oscar Camara, Tommaso Mansi, Mihaela Pop, Kawal Rhode, Maxime Sermesant, Alistair Young.

Cham : Springer International Publishing : Imprint: Springer, 2015.
1 online resource (XII, 296 pages) : 134 illustrations
1st ed. 2015.
Computer Science (Springer-11645)
LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics SL 6, 8896
Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 8896
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Optical data processing.
Medical informatics.
Computer simulation.
Mathematical statistics.
Pattern perception.
Local subjects:
Image Processing and Computer Vision. (search)
Health Informatics. (search)
Simulation and Modeling. (search)
Probability and Statistics in Computer Science. (search)
Pattern Recognition. (search)
Cardiology. (search)
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This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2014, held in conjunction with MICCAI 2014, in Boston, MA, USA, in September 2014. The 30 revised full papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics such as sections on cardiac image processing; atlas construction; statistical modelling of cardiac function across different patient populations; cardiac mapping; cardiac computational physiology; model customization; atlas based functional analysis; ontological schemata for data and results; integrated functional and structural analyses; as well as the pre-clinical and clinical applicability of these methods.
Advanced Normalization Tools for Cardiac Motion Correction
Deformable Image Registration and Intensity Correction of Cardiac Perfusion MRI
Comparison of Linear and Non-linear 2D+T Registration Methods for DE-MRI Cardiac Perfusion Studies
Motion Correction for Dynamic Contrast-Enhanced CMR Perfusion Images Using a Consecutive Finite Element Model Warping
Deformable and Rigid Model-Based Image Registration for Quantitative Cardiac Perfusion
Automatic Perfusion Analysis Using Phase-Based Registration and Object-Based Image Analysis
LV Mechanics Challenge
Left Ventricular Diastolic and Systolic Material Property Estimation from Image Data
Evaluation of Personalised Canine Electromechanical Models
Connection Forms for Beating the Heart: LV Mechanics Challenge (Methods)
Patient-Specific Parameter Estimation for a Transversely Isotropic Active Strain Model of Left Ventricular Mechanics
Estimation of Diastolic Biomarkers: Sensitivity to Fibre Orientation
Fully-Coupled Electromechanical Simulations of the LV Dog Anatomy Using HPC: Model Testing and Verification
STACOM Challenge: Simulating Left Ventricular Mechanics in the Canine Heart
Identifying Myocardial Mechanical Properties from MRI Using an Orthotropic Constitutive Model
Evaluating Local Contractions from Large Deformations Using Affine Invariant Spectral Geometry
Image-Based View-Angle Independent Cardiorespiratory Motion Gating for X-ray-Guided Interventional Electrophysiology Procedures
Analysis of Mitral Valve Motion in 4D Transesophageal Echocardiography for Transcatheter Aortic Valve Implantation
Structural Abnormality Detection of ARVC Patients via Localised Distance-to-Average Mapping
Joint Myocardial Motion and Contraction Phase Estimation from Cine MRI Using Variational Data Assimilation
Segmentation of the Aortic Valve Apparatus in 3D Echocardiographic Images: Deformable Modeling of a Branching Medial Structure
Estimation of Regional Electrical Properties of the Heart from 12-Lead ECG and Images
Multi-source Motion Decoupling Ablation Catheter Guidance for Electrophysiology Procedures
Statistical Model of Paroxysmal Atrial Fibrillation Catheter Ablation Targets for Pulmonary Vein Isolation
Factors Affecting Optical Flow Performance in Tagging Magnetic Resonance Imaging
Multi-modal Validation Framework of Mitral Valve Geometry and Functional Computational Models
Robust Detection of Mitral Papillary Muscle from 4D Transesophageal Echocardiography
Reusability of Statistical Shape Models for the Segmentation of Severely Abnormal Hearts
Registration of Real-Time and Prior Imaging Data with Applications to MR Guided Cardiac Interventions
Restoration of Phase-Contrast Cardiovascular MRI for the Construction of Cardiac Contractility Atlases
Manifold Learning for Cardiac Modeling and Estimation Framework.
Camara, Aboubacar, editor., Editor,
Mansi, Tommaso, editor., Editor,
Pop, Mihaela, editor., Editor,
Rhode, Kawal. editor., Editor,
Sermesant, Maxime, editor., Editor,
Young, Alistair, editor., Editor,
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10.1007/978-3-319-14678-2 doi
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