UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at http://www.ucl.ac.uk/finance/research/post_award/post_award_contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
A workflow for patient-specific fluid-structure interaction analysis of the mitral valve: A proof of concept on a mitral regurgitation case.
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Article
  • Authors:
    Biffi B, Gritti M, Grasso A, Milano EG, Fontana M, Alkareef H, Davar J, Jeetley P, Whelan C, Anderson S, Lorusso D, Sauvage E, Maria Bosi G, Schievano S, Capelli C
  • Publication date:
    22/10/2019
  • Journal:
    Med Eng Phys
  • Status:
    Published online
  • Country:
    England
  • PII:
    S1350-4533(19)30197-3
  • Language:
    eng
  • Keywords:
    3D transoesophageal-echocardiogram, Cardiac magnetic resonance, Fluid-structure interaction simulations, Left heart, Mitral valve, Patient-specific modelling, Smoothed particles hydrodynamics
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.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers Show More
Author
Dept of Mechanical Engineering
Author
Childrens Cardiovascular Disease
Author
Childrens Cardiovascular Disease
Author
Childrens Cardiovascular Disease
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by