Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges
Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 22, 2011, Revised Selected Papers
Published on 28. February 2012
XIV, 286 pages
978-3-642-28326-0 (ISBN)
Description
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challegenges, STACOM 2011, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011.
The 28 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on EP simulation challenge, motion tracking challenge, segmentation challenge, and regular papers.
The 28 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on EP simulation challenge, motion tracking challenge, segmentation challenge, and regular papers.
Reviews / Votes
From the book reviews:
"The book is aimed primarily at students, health professionals, and researchers who are looking to enhance their knowledge of further advances in cardiac imaging and statistical models of the heart. . This is a valuable resource for those interested in keeping abreast of the latest advances in cardiac imaging statistical models and will serve to accelerate progress in the important area of heart structure and functional analysis." (Pooja Sethi, Doody's Book Reviews, March, 2015)
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Oscar Camara | E. Konukoglu | Mihaela Pop
Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges
Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 22, 2011, Revised Selected Papers
Book
02/2012
1st Edition
Springer
€53.49
Shipment within 7-9 days
Content
- Title
- Preface
- Organization
- Table of Contents
- EP Simulation Challenge
- EP Challenge - STACOM'11: Forward Approaches to Computational Electrophysiology Using MRI-Based Models and In-Vivo CARTO Mapping in Swine Hearts
- Introduction
- EP-CARTO and DW-MRI Data Acquisition and Processing
- In-Vivo Electrophysiology Study and Ex-Vivo MRI Study
- Fiber Directions from DW-MRI and Histological Evaluation of the Scar
- Forward Problems Applied to Computational Electrophysiology
- A Simple Macroscopic Two-Variable Modelling Approach
- Other Mathematical Models and Computation Results of Forward Problems
- Discussion
- References
- Personalisation of a 3D Ventricular Electrophysiological Model, Using Endocardial and Epicardial Contact Mapping and MRI
- Introduction
- 3D Electrophysiology Model with Chronic Infarction
- Contact Mapping and MR Dataset Processing
- Building Personalised Electrophysiological Model
- Coupled Personalisation Approach (EK-MS)
- Application
- Conclusion
- References
- Transmural Electrophysiologic and Scar Imaging on Porcine Heart with Chronic Infarction
- Introduction
- Methods
- Experimental Setup and Data Processing
- Transmural EP and Scar Imaging
- Results and Discussions
- References
- Motion Tracking Challenge
- A Multimodal Database for the 1st Cardiac Motion Analysis Challenge
- The Challenge
- The Data
- Ultrasound Acquisition
- MR Acquisition
- Distribution
- The Evaluation
- Ground Truth
- 3DUS Quality Assessment
- Results
- Response to the Challenge
- Inter-observer Variability
- Qualitative and Quantitative Results
- Outlook
- References
- Automatic Cardiac Motion Tracking Using Both Untagged and 3D Tagged MR Images
- Introduction
- Spatial and Temporal Correction
- Temporal Alignment
- Spatial Alignment
- Comprehensive Motion Tracking
- Weighted Similarity Measure
- Detection and Tracking of Cardiac Landmarks
- Valve Annulus Modelling and Detection
- Simultaneous Valve Plane Detection in Multiple Views
- Valve Plane Motion Tracking
- Constrained Myocardial Motion Tracking Using Tagged and Untagged MR Images
- Results
- Conclusion and Future Work
- References
- An Incompressible Log-Domain Demons Algorithm for Tracking Heart Tissue
- Methodology
- Cardiac Motion Tracking Using Physiological Constraints
- Review of the Log-Domain Demons Algorithm
- Modeling Elasticity in the Myocardium
- Incorporating Strong Incompressibility in the Myocardium
- Implementation
- Image Pre-processing
- Application to Challenge Data
- Results for Echocardiography Sequences
- Results for Cine-MR Image Sequences
- Results for Tagged-MR Image Sequences
- Strain Estimation
- Discussion
- Incompressibility Constraint
- Field of View
- Conclusion
- References
- Temporal Diffeomorphic Free Form Deformation (TDFFD) Applied to Motion and Deformation Quantification of Tagged MRI Sequences
- Introduction
- Methods
- Preprocessing
- Segmentation
- Mesh Postprocessing
- Motion and Deformation Quantification
- Strain Quantification
- Experiments
- Conclusions
- References
- Motion Analysis with Quadrature Filter Based Registration of Tagged MRI Sequences
- Introduction
- Materials and Methods
- Image Data
- Method
- Results
- Discussion
- Conclusions
- References
- Segmentation Challenge
- Left Ventricular Segmentation Challenge from Cardiac MRI: A Collation Study
- Introduction
- Methods
- Cardiac MRI Data
- Raters
- Evaluation Method
- Region of Interest Definition
- Binary STAPLE Algorithm
- Results
- Discussion
- References
- Automatic Segmentation of the Myocardium in Cine MR Images Using Deformable Registration
- Introduction
- Left Ventricle Segmentation
- LV Blood Pool Detection
- Mitral Valve Base Plane Segmentation
- Slice Segmentation
- Segmentation of the Entire LV
- Experiments
- Conclusions
- References
- Layered Spatio-temporal Forests for Left Ventricle Segmentation from 4D Cardiac MRI Data
- Introduction
- Layered Spatio-temporal Decision Forests
- Strategy to Learn from Spatio-temporal Data
- Features
- Data Preprocessing
- First Layer: Decision Forests for Image Intensity Standardization and Position Normalization
- Intensity Standardization
- Orientation Normalization
- Second Layer: Learning to Segment with the Shape
- Using Voxel Coordinates
- Transforming the Volumes Back
- Results
- Conclusions
- References
- Myocardial Segmentation Using Contour-Constrained Optical Flow Tracking
- Introduction
- Method
- Energy Function of the Optical Flow Constraint
- Contour Constraints
- Contour-Constrained Optical Flow Energy Function
- Evaluation of the Segmentation Method
- Results and Discussion
- Conclusion
- References
- Regular Papers
- Optimization for Multi-Region Segmentation of Cardiac MRI
- Introduction
- Model
- Solving the Optimization Problem
- Using the Lagrangian Dual
- Experiments
- Future Work and Limitations
- Concluding Discussion
- References
- Analysis of Catheter-Based Registration with Vessel-Radius Weighting of 3D CT Data to 2D X-ray for Cardiac Catheterisation Procedures in a Phantom Study
- Introduction
- Methods
- Phantom Experiment
- Results
- Discussion and Conclusion
- References
- Myocardial Contractility and Regional Work throughout the Cardiac Cycle Using FEM and MRI
- Introduction
- Methods
- Results
- Discussion and Conclusions
- References
- Variability of the Human Cardiac Laminar Structure
- Introduction
- Material and Method
- Dataset
- Atlas Construction
- Statistical Analysis
- Results
- Variability of the Laminar Sheet Normal
- Variability of the Intersection Angle
- Conclusion
- References
- Polynomial Regression Based Edge Filtering for Left Ventricle Tracking in 3D Echocardiography
- Introduction
- Tracking Framework
- State Prediction
- Evaluation of Tracking Model
- Edge Measurements
- Measurement Assimilation
- Measurement Update
- Edge Detection
- Step Criterion Edge Detector (STEP)
- Local Polynomial Regression Edge Detector (LPR)
- Results
- Discussion and Conclusion
- References
- A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation
- Introduction
- Cardiac Segmentation Using Multiple Images
- Spatio-Temporal Registration
- Atlas Based Segmentation
- Multi-image Graph Cut Refinement
- Uncertainty Definition and Evaluation
- Registration Uncertainty
- Segmentation Uncertainty
- Uncertainty Quantification and User Interaction
- Results
- Conclusion and Future Work
- References
- Toward Clinically-Feasible Noninvasive Electrophysiological Imaging: Investigating the Impact of Local Anatomical Details
- Introduction
- Optimization of 3D Geometry Reconstruction
- Results
- Conclusion
- References
- A 3D+Time Spatio-temporal Model for Joint Segmentation and Registration of Sparse Cardiac Cine MR Image Stacks
- Introduction
- Methods
- Shape Representation
- Model Component 1: Shape Model
- Model Component 2: Local Appearance Model
- Model Component 3: Global Intensity Similarity
- Model Component 4: Temporal Regularization
- Hybrid Model
- Experimental Evaluation
- Discussion and Conclusion
- References
- Statistical Atlas of Human Cardiac Fibers: Comparison with Abnormal Hearts
- Introduction
- Material and Method
- Dataset
- Registration of Abnormal Hearts
- Comparison with Abnormal Hearts
- Results
- Discussion and Conclusion
- References
- Maximum Likelihood Correction of Shape Bias Arising from Imaging Protocol: Application to Cardiac MRI
- Introduction
- Methods
- Results
- Conclusions and Future Work
- References
- Volumetric Modeling Electromechanics of the Heart
- Introduction
- Methodology
- Cardiac Electrophysiological Model
- Electromechanical Coupling
- Cardiac Mechanics Model
- Mechanoelectrical Feedback
- Numerical Implementation
- Experimental Results
- A Cube
- A Biventricular Heart
- Discussion
- Conclusion
- References
- Matching Sparse Sets of Cardiac Image Cross-Sections Using Large Deformation Diffeomorphic Metric Mapping Algorithm
- Introduction
- Method
- Subjects
- Preprocessing
- Registration Methods
- Results
- Discussion
- References
- VURTIGO: Visualization Platform for Real-Time, MRI-Guided Cardiac Electroanatomic Mapping
- Introduction
- Architecture
- Communication System Design
- Vurtigo Design
- Features
- Core Features
- Visualization
- Interactive and Automated 2D Plane Control
- Methods for EP Interventions
- Active Tracking of Catheters
- EP Recordings and EAM Generation
- MR Imaging
- Conclusions
- References
- Validation of a Novel Methodfor the Automatic Segmentation of Left Atrial Scarfrom Delayed-Enhancement Magnetic Resonance
- Introduction
- Methods
- Automatic Segmentation of Atrial Lesions
- Validation of the Automatic Algorithm
- Results
- Digital Phantom
- Clinical Data
- Discussion and Conclusion
- References
- Cardiac Motion Estimation Using Covariant Derivatives and Helmholtz Decomposition
- Introduction
- Multi-scale Feature-Based Tracking Using Optical Flow
- Image Data Set and Preprocessing
- Calculation of Sparse Velocity Features
- Vector Field Decomposition
- Multi-scale Helmholtz Decomposition of the Optical Flow Field
- Experiments on the Decomposition of the Vector Field
- Covariant Derivatives and Reconstruction
- Feature Based Optic Flow Equation with Covariant Derivatives and Helmholtz Decomposition (CDHD)
- Experiments and Results
- Discussion and Conclusion
- References
- Temporal Diffeomorphic Motion Analysis from Echocardiographic Sequences by Using Intensity Transitivity Consistency
- Introduction
- Method
- Parameterized Diffeomorphic Registration
- Diffeomorphic Image Sequence Registration
- Regularization
- Optimization
- Implementation
- Experiment and Data
- Result
- Conclusion
- References
- Author Index
