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Statistical Atlases and Computational Models of the Heart

First International Workshop, STACOM 2010, and Cardiac Electrophysical Simulation Challenge, CESC 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010, Proceedings
BuchKartoniert, Paperback
292 Seiten
Englisch
Springererschienen am03.09.2010
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.mehr
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BuchKartoniert, Paperback
EUR53,49
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Produkt

KlappentextA 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.
Zusammenfassung
State-of-the-art research

Fast-track conference proceedings

Unique visibility
Details
ISBN/GTIN978-3-642-15834-6
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2010
Erscheinungsdatum03.09.2010
ReiheLecture Notes in Computer Science
Seiten292 Seiten
SpracheEnglisch
IllustrationenXII, 292 p. 140 illus.
Artikel-Nr.10026398

Inhalt/Kritik

Inhaltsverzeichnis
Keynote Presentations.- Atlas Construction and Image Analysis Using Statistical Cardiac Models.- Patient-Specific Modeling of the Heart: Applications to Cardiovascular Disease Management.- The Generation of Patient-Specific Heart Models for Diagnosis and Interventions.- Methods and Infrastructure for Atlas Construction.- The Cardiac Atlas Project: Rationale, Design and Procedures.- The Cardiac Atlas Project: Preliminary Description of Heart Shape in Patients with Myocardial Infarction.- The Cardiac Atlas Project: Development of a Framework Integrating Cardiac Images and Models.- Atlas-Based Quantification of Myocardial Motion Abnormalities: Added-value for the Understanding of CRT Outcome?.- Towards High-Resolution Cardiac Atlases: Ventricular Anatomy Descriptors for a Standardized Reference Frame.- Structure and Flow.- Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation.- Atlas-Based Reduced Models of Blood Flows for Fast Patient-Specific Simulations.- Image and Physiological Data Fusion for Guidance and Modelling of Cardiac Resynchronization Therapy Procedures.- A Multi-method Approach towards Understanding the Pathophysiology of Aortic Dissections - The Complementary Role of In-Silico, In-Vitro and In-Vivo Information.- Endowing Canonical Geometries to Cardiac Structures.- Automatic Segmentation of Left Atrial Geometry from Contrast-Enhanced Magnetic Resonance Images Using a Probabilistic Atlas.- Interactive Cardiac Image Analysis for Biventricular Function of the Human Heart.- Cardiac Motion Estimation Using a ProActive Deformable Model: Evaluation and Sensitivity Analysis.- Investigating Heart Failure Using Ventricular Imaging and Modelling.- Incorporating Low-Level Constraints for the Retrieval of Personalised Heart Models fromDynamic MRI.- Volumetric Myocardial Mechanics from 3D+t Ultrasound Data with Multi-model Tracking.- Mechanics and Motion.- Cardiac Active Contraction Parameters Estimated from Magnetic Resonance Imaging.- Electrophysiology and Electrical Activation.- Recovering Cardiac Electrical Activity from Medical Image Sequence: A Model-Based Approach.- Non-invasive Activation Times Estimation Using 3D Echocardiography.- Modeling Drug Effects on Personalized 3D Models of the Heart: A Simulation Study.- How Much Geometrical Detail Do We Need in Cardiac Electrophysiological Imaging? A Generic Heart-Torso Representation for Fast Subject-Specific Customization.- Influence of Geometric Variations on LV Activation Times: A Study on an Atlas-Based Virtual Population.- Computational Electrophysiological Simulation Challenge (CESC 2010).- Generic Conduction Parameters for Predicting Activation Waves in Customised Cardiac Electrophysiology Models.- A Statistical Physiological-Model-Constrained Framework for Computational Imaging of Subject-Specific Volumetric Cardiac Electrophysiology Using Optical Imaging and MRI Data.- Estimation of Reaction, Diffusion and Restitution Parameters for a 3D Myocardial Model Using Optical Mapping and MRI.- Personalization of Fast Conduction Purkinje System in Eikonal-Based Electrophysiological Models with Optical Mapping Data.mehr

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