Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges - Info and Reading Options

The Open Library:

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.

Open Data:

Intro -- Preface -- Organization -- Contents -- MoCo (Motion Correction) Challenge -- Advanced Normalization Tools for Cardiac Motion Correction -- 1 Introduction -- 2 Materials and Methods -- 2.1 Evaluation Data -- 2.2 Preprocessing and Image Registration -- 3 Evaluation -- 4 Discussion and Conclusions -- References -- Deformable Image Registration and Intensity Correction of Cardiac Perfusion MRI -- 1 Introduction -- 2 Data -- 3 Multi-level Joint Image Registration and Intensity Correction -- 4 Results and Validation -- 5 Discussion and Conclusion -- References -- Comparison of Linear and Non-linear 2D+T Registration Methods for DE-MRI Cardiac Perfusion Studies -- 1 Introduction -- 2 Methods -- 2.1 Image Registration -- 2.2 Motion Compensation Schemes -- 3 Experiments -- 4 Results -- 5 Conclusion -- References -- Motion Correction for Dynamic Contrast-Enhanced CMR Perfusion Images Using a Consecutive Finite Element Model Warping -- 1 Introduction -- 2 Methodology -- 2.1 Initial Rigid Registration -- 2.2 Finite Element Warping -- 3 Regularization -- 3.1 Consecutive Frame Registration -- 3.2 Validation Methods -- 4 Experimental Results -- 5 Discussion -- References -- Deformable and Rigid Model-Based Image Registrationfor Quantitative Cardiac Perfusion -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion and Conclusion -- References -- Automatic Perfusion Analysis Using Phase-Based Registration and Object-Based Image Analysis -- 1 Introduction -- 2 Materials and Methods -- 2.1 Image Data -- 2.2 Preprocessing -- 2.3 Motion Correction -- 2.4 Myocardium Segmentation -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- LV Mechanics Challenge -- Left Ventricular Diastolic and Systolic MaterialProperty Estimation from Image Data -- 1 Introduction -- 2 Methods -- 2.1 Geometry Fitting -- 2.2 Fiber Fitting

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