Statistical Atlases and Computational Models of the Heart

Language: English

Published by Springer Berlin Heidelberg, 2010

364215834X / 9783642158346

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State-of-the-art researchFast-track conference proceedingsUnique visibilityKeynote Presentations.- Atlas Construction and Image Analysis Using Statistical Cardiac Models.- Patient-Specific Modeling of the Heart: Applications to Cardiovascular Disease Ma.

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Title: Statistical Atlases and Computational Models of the Heart
Author: Camara, Oscar|Pop, Mihaela|Rhode, Kawal|Sermesant, Maxime|Smith, Nic|Young, Alistair
Publisher: Springer Berlin Heidelberg
Publication year: 2010
Condition: New
Binding: Soft cover
Language: English
ISBN 10: 364215834X
ISBN 13: 9783642158346
Seller catalogs: Mathematik/Naturwissenschaften/Technik/Medizin

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.

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