Literature DB >> 16006170

Simulation of cardiac pathologies using an electromechanical biventricular model and XMR interventional imaging.

M Sermesant1, K Rhode, G I Sanchez-Ortiz, O Camara, R Andriantsimiavona, S Hegde, D Rueckert, P Lambiase, C Bucknall, E Rosenthal, H Delingette, D L G Hill, N Ayache, R Razavi.   

Abstract

Simulating cardiac electromechanical activity is of great interest for a better understanding of pathologies and for therapy planning. Design and validation of such models is difficult due to the lack of clinical data. XMR systems are a new type of interventional facility in which patients can be rapidly transferred between X-ray and MR systems. Our goal is to design and validate an electromechanical model of the myocardium using XMR imaging. The proposed model is computationally fast and uses clinically observable parameters. We present the integration of anatomy, electrophysiology, and motion from patient data. Pathologies are introduced in the model and simulations are compared to measured data. Initial qualitative comparison on the two clinical cases presented is encouraging. Once fully validated, these models will make it possible to simulate different interventional strategies.

Entities:  

Mesh:

Year:  2005        PMID: 16006170     DOI: 10.1016/j.media.2005.05.003

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  7 in total

1.  Computational modeling of chemo-electro-mechanical coupling: a novel implicit monolithic finite element approach.

Authors:  J Wong; S Göktepe; E Kuhl
Journal:  Int J Numer Method Biomed Eng       Date:  2013-06-24       Impact factor: 2.747

2.  Virtual electrophysiological study in a 3-dimensional cardiac magnetic resonance imaging model of porcine myocardial infarction.

Authors:  Jason Ng; Jason T Jacobson; Justin K Ng; David Gordon; Daniel C Lee; James C Carr; Jeffrey J Goldberger
Journal:  J Am Coll Cardiol       Date:  2012-05-23       Impact factor: 24.094

3.  A fully implicit finite element method for bidomain models of cardiac electromechanics.

Authors:  Hüsnü Dal; Serdar Göktepe; Michael Kaliske; Ellen Kuhl
Journal:  Comput Methods Appl Mech Eng       Date:  2012-07-24       Impact factor: 6.756

4.  The Generalized Hill Model: A Kinematic Approach Towards Active Muscle Contraction.

Authors:  Serdar Göktepe; Andreas Menzel; Ellen Kuhl
Journal:  J Mech Phys Solids       Date:  2014-12-01       Impact factor: 5.471

5.  Effect of transmurally heterogeneous myocyte excitation-contraction coupling on canine left ventricular electromechanics.

Authors:  Stuart G Campbell; Elliot Howard; Jazmin Aguado-Sierra; Benjamin A Coppola; Jeffrey H Omens; Lawrence J Mulligan; Andrew D McCulloch; Roy C P Kerckhoffs
Journal:  Exp Physiol       Date:  2009-02-27       Impact factor: 2.969

6.  Improving the stability of cardiac mechanical simulations.

Authors:  Sander Land; Steven A Niederer; Pablo Lamata; Nicolas P Smith
Journal:  IEEE Trans Biomed Eng       Date:  2014-12-02       Impact factor: 4.538

7.  Generation of myocardial wall surface meshes from segmented MRI.

Authors:  Oskar Skrinjar; Arnaud Bistoquet
Journal:  Int J Biomed Imaging       Date:  2009-12-08
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.