Explore the words cloud of the ECSTATIC project. It provides you a very rough idea of what is the project "ECSTATIC" about.
The following table provides information about the project.
UNIVERSITE DE BORDEAUX
|Coordinator Country||France [FR]|
|Total cost||1˙475˙000 €|
|EC max contribution||1˙475˙000 € (100%)|
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
|Duration (year-month-day)||from 2017-02-01 to 2022-01-31|
Take a look of project's partnership.
|1||UNIVERSITE DE BORDEAUX||FR (BORDEAUX)||coordinator||1˙186˙250.00|
|2||INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE||FR (LE CHESNAY CEDEX)||participant||288˙750.00|
Cardiac electrical diseases are directly responsible for sudden cardiac death, heart failure and stroke. They result from a complex interplay between myocardial electrical activation and structural heterogeneity. Current diagnostic strategy based on separate electrocardiographic and imaging assessment is unable to grasp both these aspects. Improvements in personalised diagnostics are urgently needed as existing curative or preventive therapies (catheter ablation, multisite pacing, and implantable defibrillators) cannot be offered until patients are correctly recognised. My aim is to achieve a major advance in the way cardiac electrical diseases are characterised and thus diagnosed and treated, through the development of a novel non-invasive modality (Electrostructural Tomography), combining magnetic resonance imaging (MRI) and non-invasive cardiac mapping (NIM) technologies. The approach will consist of: (1) hybridising NIM and MRI technologies to enable the joint acquisition of magnetic resonance images of the heart and torso and of a large array of body surface potentials within a single environment; (2) personalising the inverse problem of electrocardiography based on MRI characteristics within the heart and torso, to enable accurate reconstruction of cardiac electrophysiological maps from body surface potentials within the 3D cardiac tissue; and (3) developing a novel disease characterisation framework based on registered non-invasive imaging and electrophysiological data, and propose novel diagnostic and prognostic markers. This project will dramatically impact the tailored management of cardiac electrical disorders, with applications for diagnosis, risk stratification/patient selection and guidance of pacing and catheter ablation therapies. It will bridge two medical fields (cardiac electrophysiology and imaging), thereby creating a new research area and a novel semiology with the potential to modify the existing classification of cardiac electrical diseases.
|year||authors and title||journal||last update|
Patrick M. Boyle, Joe B. Hakim, Sohail Zahid, William H. Franceschi, Michael J. Murphy, Edward J. Vigmond, RÃ©mi Dubois, Michel HaÃ¯ssaguerre, MÃ©lÃ¨ze Hocini, Pierre JaÃ¯s, Natalia A. Trayanova, Hubert Cochet
Comparing Reentrant Drivers Predicted by Image-Based Computational Modeling and Mapped by Electrocardiographic Imaging in Persistent Atrial Fibrillation
published pages: article 414, ISSN: 1664-042X, DOI: 10.3389/fphys.2018.00414
|Frontiers in Physiology 9||2019-09-20|
Alexia Hennig, Marjorie Salel, Frederic Sacher, Claudia Camaioni, Soumaya Sridi, Arnaud Denis, Michel Montaudon, FranÃ§ois Laurent, Pierre Jais, Hubert Cochet
High-resolution three-dimensional late gadolinium-enhanced cardiac magnetic resonance imaging to identify the underlying substrate of ventricular arrhythmia
published pages: , ISSN: 1099-5129, DOI: 10.1093/Europace/eux278
Sophie Giffard-Roisin, HervÃ© Delingette, Thomas Jackson, Jessica Webb, Lauren Fovargue, Jack Lee, Christopher Rinaldi, Reza Razavi, Nicholas Ayache, Maxime Sermesant
Transfer Learning from Simulations on a Reference Anatomy for ECGI in Personalised Cardiac Resynchronization Therapy
published pages: 1-1, ISSN: 0018-9294, DOI: 10.1109/TBME.2018.2839713
|IEEE Transactions on Biomedical Engineering||2019-09-20|
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The information about "ECSTATIC" are provided by the European Opendata Portal: CORDIS opendata.
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