Literature DB >> 11091948

Epicardial suction: a new approach to mechanical testing of the passive ventricular wall.

R J Okamoto1, M J Moulton, S J Peterson, D Li, M K Pasque, J M Guccione.   

Abstract

The lack of an appropriate three-dimensional constitutive relation for stress in passive ventricular myocardium currently limits the utility of existing mathematical models for experimental and clinical applications. Previous experiments used to estimate parameters in three-dimensional constitutive relations, such as biaxial testing of excised myocardial sheets or passive inflation of the isolated arrested heart, have not included significant transverse shear deformation or in-plane compression. Therefore, a new approach has been developed in which suction is applied locally to the ventricular epicardium to introduce a complex deformation in the region of interest, with transmural variations in the magnitude and sign of nearly all six strain components. The resulting deformation is measured throughout the region of interest using magnetic resonance tagging. A nonlinear, three-dimensional, finite element model is used to predict these measurements at several suction pressures. Parameters defining the material properties of this model are optimized by comparing the measured and predicted myocardial deformations. We used this technique to estimate material parameters of the intact passive canine left ventricular free wall using an exponential, transversely isotropic constitutive relation. We tested two possible models of the heart wall: first, that it was homogeneous myocardium, and second, that the myocardium was covered with a thin epicardium with different material properties. For both models, in agreement with previous studies, we found that myocardium was nonlinear and anisotropic with greater stiffness in the fiber direction. We obtained closer agreement to previously published strain data from passive filling when the ventricular wall was modeled as having a separate, isotropic epicardium. These results suggest that epicardium may play a significant role in passive ventricular mechanics.

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Year:  2000        PMID: 11091948     DOI: 10.1115/1.1289625

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  9 in total

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Authors:  Eva Romito; Tarek Shazly; Francis G Spinale
Journal:  J Appl Physiol (1985)       Date:  2017-02-23

2.  Estimating passive mechanical properties in a myocardial infarction using MRI and finite element simulations.

Authors:  Dimitri Mojsejenko; Jeremy R McGarvey; Shauna M Dorsey; Joseph H Gorman; Jason A Burdick; James J Pilla; Robert C Gorman; Jonathan F Wenk
Journal:  Biomech Model Mechanobiol       Date:  2014-10-15

3.  Effects of using the unloaded configuration in predicting the in vivo diastolic properties of the heart.

Authors:  Amir Nikou; Shauna M Dorsey; Jeremy R McGarvey; Joseph H Gorman; Jason A Burdick; James J Pilla; Robert C Gorman; Jonathan F Wenk
Journal:  Comput Methods Biomech Biomed Engin       Date:  2016-05-06       Impact factor: 1.763

4.  Magnetic resonance imaging-based finite element stress analysis after linear repair of left ventricular aneurysm.

Authors:  Joseph C Walker; Mark B Ratcliffe; Peng Zhang; Arthur W Wallace; Edward W Hsu; David A Saloner; Julius M Guccione
Journal:  J Thorac Cardiovasc Surg       Date:  2008-05       Impact factor: 5.209

5.  A computationally efficient formal optimization of regional myocardial contractility in a sheep with left ventricular aneurysm.

Authors:  Kay Sun; Nielen Stander; Choon-Sik Jhun; Zhihong Zhang; Takamaro Suzuki; Guan-Ying Wang; Maythem Saeed; Arthur W Wallace; Elaine E Tseng; Anthony J Baker; David Saloner; Daniel R Einstein; Mark B Ratcliffe; Julius M Guccione
Journal:  J Biomech Eng       Date:  2009-11       Impact factor: 2.097

6.  Computational Modeling of Healthy Myocardium in Diastole.

Authors:  Amir Nikou; Shauna M Dorsey; Jeremy R McGarvey; Joseph H Gorman; Jason A Burdick; James J Pilla; Robert C Gorman; Jonathan F Wenk
Journal:  Ann Biomed Eng       Date:  2015-07-28       Impact factor: 3.934

7.  A computational pipeline for quantification of mouse myocardial stiffness parameters.

Authors:  Oyvind Nordbø; Pablo Lamata; Sander Land; Steven Niederer; Jan M Aronsen; William E Louch; Ivar Sjaastad; Harald Martens; Arne B Gjuvsland; Kristin Tøndel; Hans Torp; Maelene Lohezic; Jurgen E Schneider; Espen W Remme; Nicolas Smith; Stig W Omholt; Jon Olav Vik
Journal:  Comput Biol Med       Date:  2014-08-02       Impact factor: 4.589

8.  In vivo estimation of passive biomechanical properties of human myocardium.

Authors:  Arnab Palit; Sunil K Bhudia; Theodoros N Arvanitis; Glen A Turley; Mark A Williams
Journal:  Med Biol Eng Comput       Date:  2018-02-26       Impact factor: 2.602

9.  The estimation of patient-specific cardiac diastolic functions from clinical measurements.

Authors:  Jiahe Xi; Pablo Lamata; Steven Niederer; Sander Land; Wenzhe Shi; Xiahai Zhuang; Sebastien Ourselin; Simon G Duckett; Anoop K Shetty; C Aldo Rinaldi; Daniel Rueckert; Reza Razavi; Nic P Smith
Journal:  Med Image Anal       Date:  2012-10-16       Impact factor: 8.545

  9 in total

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