| Literature DB >> 31653498 |
Benedetta Biffi1, Maurizio Gritti2, Agata Grasso3, Elena G Milano4, Marianna Fontana2, Hamad Alkareef4, Joseph Davar3, Paramijit Jeetley3, Carol Whelan3, Sarah Anderson2, Donatella Lorusso2, Emilie Sauvage4, Giorgia Maria Bosi4, Silvia Schievano4, Claudio Capelli4.
Abstract
The mechanics of the mitral valve (MV) are the result of the interaction of different anatomical structures complexly arranged within the left heart (LH), with the blood flow. MV structure abnormalities might cause valve regurgitation which in turn can lead to heart failure. Patient-specific computational models of the MV could provide a personalised understanding of MV mechanics, dysfunctions and possible interventions. In this study, we propose a semi-automatic pipeline for MV modelling based on the integration of state-of-the-art medical imaging, i.e. cardiac magnetic resonance (CMR) and 3D transoesophageal-echocardiogram (TOE) with fluid-structure interaction (FSI) simulations. An FSI model of a patient with MV regurgitation was implemented using the finite element (FE) method and smoothed particle hydrodynamics (SPH). Our study showed the feasibility of combining image information and computer simulations to reproduce patient-specific MV mechanics as seen on medical images, and the potential for efficient in-silico studies of MV disease, personalised treatments and device design.Entities:
Keywords: 3D transoesophageal-echocardiogram; Cardiac magnetic resonance; Fluid-structure interaction simulations; Left heart; Mitral valve; Patient-specific modelling; Smoothed particles hydrodynamics
Mesh:
Year: 2019 PMID: 31653498 DOI: 10.1016/j.medengphy.2019.09.020
Source DB: PubMed Journal: Med Eng Phys ISSN: 1350-4533 Impact factor: 2.242