Explore the words cloud of the AFIBROTIC project. It provides you a very rough idea of what is the project "AFIBROTIC" about.
The following table provides information about the project.
Coordinator |
ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA
Organization address contact info |
Coordinator Country | Italy [IT] |
Project website | http://www.biomig.dei.unibo.it/FA.html |
Total cost | 168˙277 € |
EC max contribution | 168˙277 € (100%) |
Programme |
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility) |
Code Call | H2020-MSCA-IF-2014 |
Funding Scheme | MSCA-IF-EF-ST |
Starting year | 2015 |
Duration (year-month-day) | from 2015-10-01 to 2017-09-30 |
Take a look of project's partnership.
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1 | ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA | IT (BOLOGNA) | coordinator | 168˙277.00 |
Atrial fibrillation (AF) is the most common type of arrhythmia and causes substantial morbidity and mortality. AF is principally treated with catheter ablation. Unfortunately, the mechanisms that initiate and sustain the arrhythmia are still incompletely understood and, as such, ablation remains a highly operator-dependent procedure with low success rates. Two recent studies promise to lead to better ablation outcomes, showing that a) the amount of atrial fibrosis directly correlates with the non-responsiveness to ablation and that b) AF is maintained by electrical rotors and targeting their suppression improves the success rates. Nonetheless, the lack of a rigorous mechanistic framework of AF pathophysiology deprives those studies of solid fundaments so that their effective value is still debated.
This project aims therefore to provide such a framework by exploiting advanced biomedical engineering concepts. The focus will be on explaining and connecting recent experimental findings about fibrosis and rotors. The relationship will be first analyzed in vivo from AF patient data acquired with state-of-the-art instrumentation in the field of interventional electrophysiology. Measured data will be then integrated within a multi-scale personalized computational model of the fibrillating atrium that will determine, on a patient-specific basis, the mechanistic connection between fibrosis and reentries. Furthermore, the tool will provide an in silico environment for personalized ablation planning. Key in the project will be the synergy between complementary state-of-the-art expertise in the fields of medical imaging and computational modeling provided by applicant and host institutions. All partners will strongly benefit from the implied two way knowledge transfer, in terms of career advancement (the applicant) and enlarged network/grant proposal opportunities. The study will foster more focused clinical research aiming at better treatment for the AF patients.
year | authors and title | journal | last update |
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2017 |
Maddalena Valinoti, Francesca Berto, Martino Alessandrini, Roberto Mantovan, Axel Loewe, Olaf Doessel, Stefano Severi, Cristiana Corsi Phase Analysis of Endoatrial Electrograms for 3D Rotor Detection in Atrial Fibrillation, published pages: , ISSN: , DOI: |
Computing in Cardiology, Rennes, FR | 2019-06-17 |
2017 |
Masci A, Martino Alessandrini, Davide Forti, Filippo Menghini, Luca Dedé, Corrado Tommasi, Alfio Quarteroni, and Cristiana Corsi A Patient-Specific Computational FluidDynamics Model of the Left Atrium in AtrialFibrillation: Development and Initial Evaluation published pages: , ISSN: , DOI: |
Proc. of Functional Imaging and Modeling of the Heart (FIMH), Toronto, CA | 2019-06-17 |
2018 |
Claudio Fabbri, Maddalena Valinoti, Cristiana Corsi, Martino Alessandrini Segmentation of cardiac structures published pages: , ISSN: , DOI: |
Cardiovascular Computing: Methodologies and Clinical Applications. Editors: Spyretta Golemati and Konstantina S. Nikita | 2019-06-17 |
2017 |
Carolina Vallecilla, Martino Alessandrini, Claudio Fabbri, Corrado Tomasi, Cristiana Corsi, Stefano Severi Preliminary Computational Framework to Map MRI Derived Markers to Predict Response to Cardiac Resynchronization Therapy published pages: , ISSN: , DOI: |
Computing in Cardiology 2017, Rennes, FR | 2019-06-17 |
2017 |
Martino Alessandrini, Maddalena Valinoti, Axel Loewe, Tobias Oesterlein, Olaf Doessel, Cristiana Corsi, Stefano Severi A Computational Framework to Benchmark Basket Catheter Guided Ablation (IN PRESS) published pages: , ISSN: , DOI: |
Computing in Cardiology 2017, Rennes, FR | 2019-06-17 |
2016 |
M. Alessandrini, M. Valinoti, A. Pasini, R. Mantovan, S. Severi and C. Corsi An automatic framework for the non-rigid alignment of electroanatomical maps and preoperative anatomical scans in atrial fibrillation published pages: , ISSN: , DOI: |
Proc. of Computing in Cardiology 2016, Vancouver, CA | 2019-06-17 |
2018 |
M. Alessandrini Combined techniques of filtering and speckle tracking published pages: , ISSN: , DOI: |
Handbook of Speckle Filtering and Tracking in Cardiovascular Ultrasound Imaging and Video. Editors: Christos Loizou, Constantinos Pattichis and Jan D’hooge | 2019-06-17 |
2018 |
Martino Alessandrini, B. Chakraborty, B. Heyde, O. Bernard, M. De Craene, M Sermesant, J. D’hooge Realistic Vendor Specific Sythetic Ultrasound Data for Quality Assurance of 2D Speckle Tracking Echocardiography: Simulation pipeline and Open Access Database. ACCEPTED FOR PUBLICATION. published pages: , ISSN: 0885-3010, DOI: |
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control | 2019-06-17 |
2017 |
Alessandro Masci, Martino Alessandrini, Luca Dedè, Davide, Forti, Filippo Menghini, Corrado Tomasi, Alfio Quarteroni, Cristiana Corsi Development of a Computational Fluid Dynamics Model of the Left Atrium in Atrial Fibrillation on a Patient Specific Basis published pages: , ISSN: , DOI: |
Computing in Cardiology 2017, Rennes, FR | 2019-06-17 |
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