Literature DB >> 31155211

A framework for biomechanics simulations using four-chamber cardiac models.

Arian Jafari1, Edward Pszczolkowski2, Adarsh Krishnamurthy3.   

Abstract

Computational cardiac models have been extensively used to study different cardiac biomechanics; specifically, finite-element analysis has been one of the tools used to study the internal stresses and strains in the cardiac wall during the cardiac cycle. Cubic-Hermite finite element meshes have been used for simulating cardiac biomechanics due to their convergence characteristics and their ability to capture smooth geometries compactly-fewer elements are needed to build the cardiac geometry-compared to linear tetrahedral meshes. Such meshes have previously been used only with simple ventricular geometries with non-physiological boundary conditions due to challenges associated with creating cubic-Hermite meshes of the complex heart geometry. However, it is critical to accurately capture the different geometric characteristics of the heart and apply physiologically equivalent boundary conditions to replicate the in vivo heart motion. In this work, we created a four-chamber cardiac model utilizing cubic-Hermite elements and simulated a full cardiac cycle by coupling the 3D finite element model with a lumped circulation model. The myocardial fiber-orientations were interpolated within the mesh using the Log-Euclidean method to overcome the singularity associated with interpolation of orthogonal matrices. Physiologically equivalent rigid body constraints were applied to the nodes along the valve plane and the accuracy of the resulting simulations were validated using open source clinical data. We then simulated a complete cardiac cycle of a healthy heart and a heart with acute myocardial infarction. We compared the pumping functionality of the heart for both cases by calculating the ventricular work. We observed a 20% reduction in acute work done by the heart immediately after myocardial infarction. The myocardial wall displacements obtained from the four-chamber model are comparable to actual patient data, without requiring complicated non-physiological boundary conditions usually required in truncated ventricular heart models.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cardiac modeling; Cubic-hermite hexahedral elements; Finite element analysis; Four-chamber human heart model; Isogeometric analysis; Myocardial infarction

Year:  2019        PMID: 31155211      PMCID: PMC6579665          DOI: 10.1016/j.jbiomech.2019.05.019

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  49 in total

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Journal:  Ann Biomed Eng       Date:  1999 May-Jun       Impact factor: 3.934

2.  Modified ionic models of cardiac tissue for efficient large scale computations.

Authors:  Olivier Bernus; Henri Verschelde; Alexander V Panfilov
Journal:  Phys Med Biol       Date:  2002-06-07       Impact factor: 3.609

3.  Development of an in vivo method for determining material properties of passive myocardium.

Authors:  Espen W Remme; Peter J Hunter; Otto Smiseth; Carey Stevens; Stein Inge Rabben; Helge Skulstad; B Bjørn Angelsen
Journal:  J Biomech       Date:  2004-05       Impact factor: 2.712

4.  Adaptation to mechanical load determines shape and properties of heart and circulation: the CircAdapt model.

Authors:  Theo Arts; Tammo Delhaas; Peter Bovendeerd; Xander Verbeek; Frits W Prinzen
Journal:  Am J Physiol Heart Circ Physiol       Date:  2004-11-18       Impact factor: 4.733

5.  Normal human left and right ventricular and left atrial dimensions using steady state free precession magnetic resonance imaging.

Authors:  Lucy E Hudsmith; Steffen E Petersen; Jane M Francis; Matthew D Robson; Stefan Neubauer
Journal:  J Cardiovasc Magn Reson       Date:  2005       Impact factor: 5.364

6.  Single-beat estimation of end-diastolic pressure-volume relationship: a novel method with potential for noninvasive application.

Authors:  Stefan Klotz; Ilan Hay; Marc L Dickstein; Geng-Hua Yi; Jie Wang; Mathew S Maurer; David A Kass; Daniel Burkhoff
Journal:  Am J Physiol Heart Circ Physiol       Date:  2006-01-20       Impact factor: 4.733

7.  Fast and simple calculus on tensors in the log-Euclidean framework.

Authors:  Vincent Arsigny; Pierre Fillard; Xavier Pennec; Nicholas Ayache
Journal:  Med Image Comput Comput Assist Interv       Date:  2005

8.  Coupling of a 3D finite element model of cardiac ventricular mechanics to lumped systems models of the systemic and pulmonic circulation.

Authors:  Roy C P Kerckhoffs; Maxwell L Neal; Quan Gu; James B Bassingthwaighte; Jeff H Omens; Andrew D McCulloch
Journal:  Ann Biomed Eng       Date:  2006-11-08       Impact factor: 3.934

9.  MRI-based finite-element analysis of left ventricular aneurysm.

Authors:  Joseph C Walker; Mark B Ratcliffe; Peng Zhang; Arthur W Wallace; Bahar Fata; Edward W Hsu; David Saloner; Julius M Guccione
Journal:  Am J Physiol Heart Circ Physiol       Date:  2005-03-18       Impact factor: 4.733

10.  Direct histological validation of diffusion tensor MRI in formaldehyde-fixed myocardium.

Authors:  A A Holmes; D F Scollan; R L Winslow
Journal:  Magn Reson Med       Date:  2000-07       Impact factor: 4.668

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  2 in total

1.  Computational investigation of left ventricular hemodynamics following bioprosthetic aortic and mitral valve replacement.

Authors:  Fei Xu; Emily L Johnson; Chenglong Wang; Arian Jafari; Cheng-Hau Yang; Michael S Sacks; Adarsh Krishnamurthy; Ming-Chen Hsu
Journal:  Mech Res Commun       Date:  2020-10-16       Impact factor: 2.254

2.  A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations.

Authors:  Marina Strocchi; Christoph M Augustin; Matthias A F Gsell; Elias Karabelas; Aurel Neic; Karli Gillette; Orod Razeghi; Anton J Prassl; Edward J Vigmond; Jonathan M Behar; Justin Gould; Baldeep Sidhu; Christopher A Rinaldi; Martin J Bishop; Gernot Plank; Steven A Niederer
Journal:  PLoS One       Date:  2020-06-26       Impact factor: 3.240

  2 in total

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