VHEART

VIRTUAL HEART MODELS: MULTI-PHYSICS APPROACHES TO COMPUTATIONAL CARDIOLOGY

Coordinatore	MIDDLE EAST TECHNICAL UNIVERSITY    more  Organization address address: DUMLUPINAR BULVARI 1 city: ANKARA postcode: 6800 contact info Titolo: Prof. Nome: Irem Cognome: Dikmen Toker Email: send email Telefono: +90 312 2104134 Fax: +90 312 2107992
Nazionalità Coordinatore	Turkey [TR]
Totale costo	100˙000 €
EC contributo	100˙000 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2011-CIG
Funding Scheme	MC-CIG
Anno di inizio	2011
Periodo (anno-mese-giorno)	2011-09-01   -   2015-08-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	MIDDLE EAST TECHNICAL UNIVERSITY  Organization address address: DUMLUPINAR BULVARI 1 city: ANKARA postcode: 6800 contact info Titolo: Prof. Nome: Irem Cognome: Dikmen Toker Email: send email Telefono: +90 312 2104134 Fax: +90 312 2107992	TR (ANKARA)	coordinator	100˙000.00

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 Obiettivo del progetto (Objective)

'Heart disease is the number one cause of death in industrialized nations. Despite the broad class of treatment techniques such as medication, surgery and tissue-engineered therapies, heart disease remains to be one of the most frequent, disabling, and life-threatening diseases. In Europe it accounts for almost half of overall annual mortality rate. In the European Union (EU) alone, cardiovascular disease causes over 2 million deaths per year. The cost of cardiovascular disease to the EU economy is €192 billion per year. As opposed to the traditional trial-and-error based therapies, a systematic, personalized simulation-aided approach offers a great potential for understanding, diagnosing, and treating heart failure through the sound understanding of functional and structural changes in the infarcted tissue and the computational tools of multi-scale solid mechanics. The proposed research aims: (1) to develop multi-scale models of computational cardiac electrophysiology, (2) to model the fully coupled electromechanics of the heart through a novel micro-structurally based kinematic approach, (3) to couple the electromechanical computational tool with the ionic models of cardiac electrophysiology, (4) to employ the new multi-scale tools of computational cardiology to explore the underlying complex mechanisms of heart diseases and thereby guide personalized cardiac therapies. The anticipated outcomes are: (A) a multi-scale computational electrophysiological tool that incorporates multi-physics ionic models in the implicit bidomain framework, (B) a better understanding of underlying physiological reasons for electrophysiological cardiac disease such as arrhythmia, left and right bundle blocks, (C) a novel, micro-structurally based, computationally efficient, modular electromechanical computational tool, (D) a virtual test environment for the patient-specific optimization of cardiac therapies and surgical procedures.'