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 - Livro de bolso

EAN (ISBN-13): 9783642158346
ISBN (ISBN-10): 364215834X
Livro de capa dura
Livro de bolso
Ano de publicação: 2010
Editor/Editora: Springer Berlin
292 Páginas
Peso: 0,460 kg
Língua: eng/Englisch

Livro na base de dados desde 2009-06-17T20:19:49-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2024-04-01T10:04:13-03:00 (Sao Paulo)
Número ISBN/EAN: 9783642158346

Número ISBN - Ortografia alternativa:
3-642-15834-X, 978-3-642-15834-6
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: young, camara, max rhode, ali smith, pop
Título do livro: atlas china, the heart the heart, graphic, model, international statistical, art models, atlas com, lecture notes computer science, september, china first, international graphics, proceedings first international workshop, beijing

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Dados da editora

Autor: Oscar Camara; Mihaela Pop; Kawal Rhode; Maxime Sermesant; Nic Smith; Alistair Young
Título: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; 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
Editora: Springer; Springer Berlin
292 Páginas
Ano de publicação: 2010-09-03
Berlin; Heidelberg; DE
Língua: Inglês
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XII, 292 p. 140 illus.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Informatik; EKG; anatomical models; calculus; cardiac images; cardiac models; cardiac morphology; cardiovascular diseases; computational models; heart models; image analysis; medical atlases; modeling; physiological analysis; statistical analysis; Artificial Intelligence; Computer Vision; Computational and Systems Biology; Information Storage and Retrieval; User Interfaces and Human Computer Interaction; Multimedia Information Systems; Maschinelles Sehen, Bildverstehen; DV-gestützte Biologie/Bioinformatik; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Mensch-Computer-Interaktion; Grafische und digitale Media-Anwendungen; EA

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.
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