Literature DB >> 17670499

Finite element method in cardiac surgery.

Shahrul Hashim1, David Richens.   

Abstract

Finite element (FE) method is a form of mathematical modelling used to study the stress, strain and dynamics of a structure. The method has been used to analyse anatomical structures in the human body. In cardiac surgery it allows the quantifying of patient specific geometric features to both assess disease state and potentially aid in planning surgical intervention such as mitral valve repairs, prosthetic valve design or congenital reconstructive cardiac surgery. Important variables for a finite element model are model geometry, the type of mesh elements used, material properties and boundary condition. This review explains these variables, their limitations and describes their application in cardiac surgery.

Entities:  

Year:  2005        PMID: 17670499     DOI: 10.1510/icvts.2005.108555

Source DB:  PubMed          Journal:  Interact Cardiovasc Thorac Surg        ISSN: 1569-9285


  4 in total

Review 1.  Utility of cardiac magnetic resonance for evaluation of mitral regurgitation prior to mitral valve surgery.

Authors:  Neil K Mehta; Jiwon Kim; Jonathan Y Siden; Sara Rodriguez-Diego; Javid Alakbarli; Antonino Di Franco; Jonathan W Weinsaft
Journal:  J Thorac Dis       Date:  2017-04       Impact factor: 2.895

2.  Computational modeling for bedside application.

Authors:  Roy C P Kerckhoffs; Sanjiv M Narayan; Jeffrey H Omens; Lawrence J Mulligan; Andrew D McCulloch
Journal:  Heart Fail Clin       Date:  2008-07       Impact factor: 3.179

3.  Therapeutic vascular compliance change may cause significant variation in coronary perfusion: a numerical study.

Authors:  S Nobari; R Mongrain; E Gaillard; R Leask; R Cartier
Journal:  Comput Math Methods Med       Date:  2012-03-05       Impact factor: 2.238

4.  Construction of a two-parameter empirical model of left ventricle wall motion using cardiac tagged magnetic resonance imaging data.

Authors:  Jack J Shi; Mohammed Alenezy; Irina V Smirnova; Mehmet Bilgen
Journal:  Biomed Eng Online       Date:  2012-10-24       Impact factor: 2.819

  4 in total

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