Statistical Atlases and Computational Models of the Heart : First International Workshop, STACOM 2010, and Cardiac Electrophysiological Simulation Challenge, CESC 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010. Proceedings

Annotation This book constitutes the refereed proceedings of the First Joint International Workshop on Statistical Atlases and Computational Models of the Heart and Cardiac Electrophysiological Simulation Challenge, STACOM-CESC 2010, held in conjunction with MICCAI 2010, in Beijing, China, in September 2010. The 27 revised full papers presented together with 3 keynote presentations were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on methods and infrastructure for atlas construction, structure and flow, mechanics and motion, electrophysiology and electrical activation, and computational electrophysiological simulation challenge Front Matter....Pages - Atlas Construction and Image Analysis Using Statistical Cardiac Models....Pages 1-13 Patient-Specific Modeling of the Heart: Applications to Cardiovascular Disease Management....Pages 14-24 The Generation of Patient-Specific Heart Models for Diagnosis and Interventions....Pages 25-35 The Cardiac Atlas Project: Rationale, Design and Procedures....Pages 36-45 The Cardiac Atlas Project: Preliminary Description of Heart Shape in Patients with Myocardial Infarction....Pages 46-53 The Cardiac Atlas Project: Development of a Framework Integrating Cardiac Images and Models....Pages 54-64 Atlas-Based Quantification of Myocardial Motion Abnormalities: Added-value for the Understanding of CRT Outcome?....Pages 65-74 Towards High-Resolution Cardiac Atlases: Ventricular Anatomy Descriptors for a Standardized Reference Frame....Pages 75-84 Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation....Pages 85-94 Atlas-Based Reduced Models of Blood Flows for Fast Patient-Specific Simulations....Pages 95-104 Image and Physiological Data Fusion for Guidance and Modelling of Cardiac Resynchronization Therapy Procedures....Pages 105-113 A Multi-method Approach towards Understanding the Pathophysiology of Aortic Dissections – The Complementary Role of In-Silico, In-Vitro and In-Vivo Information....Pages 114-123 Endowing Canonical Geometries to Cardiac Structures....Pages 124-133 Automatic Segmentation of Left Atrial Geometry from Contrast-Enhanced Magnetic Resonance Images Using a Probabilistic Atlas....Pages 134-143 Interactive Cardiac Image Analysis for Biventricular Function of the Human Heart....Pages 144-153 Cardiac Motion Estimation Using a ProActive Deformable Model: Evaluation and Sensitivity Analysis....Pages 154-163 Investigating Heart Failure Using Ventricular Imaging and Modelling....Pages 164-173 Incorporating Low-Level Constraints for the Retrieval of Personalised Heart Models from Dynamic MRI....Pages 174-183 Volumetric Myocardial Mechanics from 3D+t Ultrasound Data with Multi-model Tracking....Pages 184-193 Cardiac Active Contraction Parameters Estimated from Magnetic Resonance Imaging....Pages 194-203 Recovering Cardiac Electrical Activity from Medical Image Sequence: A Model-Based Approach....Pages 204-211 Non-invasive Activation Times Estimation Using 3D Echocardiography....Pages 212-221 Modeling Drug Effects on Personalized 3D Models of the Heart: A Simulation Study....Pages 222-231 How Much Geometrical Detail Do We Need in Cardiac Electrophysiological Imaging? A Generic Heart-Torso Representation for Fast Subject-Specific Customization....Pages 232-241 Influence of Geometric Variations on LV Activation Times: A Study on an Atlas-Based Virtual Population....Pages 242-251 Generic Conduction Parameters for Predicting Activation Waves in Customised Cardiac Electrophysiology Models....Pages 252-260 A Statistical Physiological-Model-Constrained Framework for Computational Imaging of Subject-Specific Volumetric Cardiac Electrophysiology Using Optical Imaging and MRI Data....Pages 261-269 Estimation of Reaction, Diffusion and Restitution Parameters for a 3D Myocardial Model Using Optical Mapping and MRI....Pages 270-280 Personalization of Fast Conduction Purkinje System in Eikonal-Based Electrophysiological Models with Optical Mapping Data....Pages 281-290 Back Matter....Pages - Recently, there has been considerable progress in the construction and appli- tion of cardiac atlases and computational models which integrate heart shape, function, and physiology. Severalmajorinitiatives haveidenti?ed computational and morphological atlases as a major infrastructural platform, for instance the Physiome project and the European Virtual PhysiologicalHuman project. N- invasive cardiovascular imaging plays an important role in de?ning the com- tational domain, the boundary/initial conditions, and tissue function and pr- erties. Hence, one of the most important current challenges in the?eld is the development of robust and e?ective methods for the parameterization and p- sonalizationofthesecomputationalmodelsusingonlyminimally-invasiveclinical imaging. However, in orderto evaluatethe model outputandachieveclinical- pact, such personalized models have to be both augmented with and compared to generic knowledge on the healthy and pathological heart. This knowledge can be acquired through the building of statistical models of the heart. Several e?orts are now established to provide web-accessible structural and functional atlases of the normal and pathological heart for clinical, research, and edu- tionalpurposes. Webelievealltheseapproacheswillonlybee?ectivelydeveloped throughcollaborationacrossthe full researchscopeof the imaging andmodeling communities. Integrative models of cardiac function are important for understanding d- ease, evaluating treatment, and planning intervention. To providea focus for the developingarrayoftechniques whichunderpin the applicationofthese models in the clinic a simulation challenge was included in the workshop. The goal of this challenge was to compare strategies for the personaliszation of di?erent cardiac computationalmodelswith experimentaldata. A completedatasetwasprovided in advance, containing the cardiac geometry and?bre orientations from MRI as well as epicardial transmembrane potentials from optical mapping A that book constitutes the refereed proceedings of the First Joint International Workshop on Statistical Atlases and Computational Models of the Heart and Cardiac Electrophysiological Simulation Challenge, STACOM-CESC 2010, that was held in conjunction with MICCAI 2010, in Beijing, China, in September 2010. This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012.