Idealized aortic annuloplasty FSI digital twin of 3D-printed phantoms with 4D-flow MRI comparison
This study establishes an integrative methodology combining in-vitro, in-silico, and clinical imaging techniques to evaluate aortic annuloplasty hemodynamics. The in-vitro validated digital twin framework offers a pathway for patient-specific modelling, enabling prediction of surgical outcomes and optimization of aortic valve repair strategies.
Authors
- Francesco Migliavacca (ORCID: https://orcid.org/0000-0003-4644-630X)
- Steffen Ringgaard (ORCID: https://orcid.org/0000-0001-5353-7379)
- Anna Ramella (ORCID: https://orcid.org/0000-0001-5406-6230)
- Monika Colombo (ORCID: https://orcid.org/0000-0002-6658-4438)
- Luca Bontempi
- Won Yong Kim (ORCID: https://orcid.org/0000-0003-1302-1671)
- Marta Zattoni
- Peter Johansen (ORCID: https://orcid.org/0000-0001-7342-4056)
Institutions
- Aarhus University (DK)
- Aarhus University Hospital (DK)
- Politecnico di Milano (IT)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-05-18
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.110398
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Aarhus Universitet