Literature DB >> 17354943

Estimation of cardiac hyperelastic material properties from MRI tissue tagging and diffusion tensor imaging.

Kevin F Augenstein1, Brett R Cowan, Ian J LeGrice, Alistair A Young.   

Abstract

The passive material properties of myocardium are important in the understanding of diastolic cardiac dysfunction. We determined hyperelastic myocardial material parameters in four isolated arrested pig hearts undergoing passive inflation of the left ventricle. Using geometry from MRI, recorded boundary conditions, muscle fiber architecture from diffusion tensor imaging, and deformation from tissue tagging, finite element models were constructed to solve the finite elasticity stress estimation problem. The constitutive parameters of a hyperelastic transversely isotropic material law were determined by minimizing the difference between the predicted and imaged deformation field. The optimized parameters were in a similar range as those reported by previous studies, showing increased passive stiffness in the muscle fiber direction. The average RMS error was 0.92 mm, similar to the image resolution of 0.80 mm. Optimization of hyperelastic models of myocardial mechanics can thus be performed to extract meaningful biophysical parameters from MRI data.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 17354943     DOI: 10.1007/11866565_77

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  15 in total

1.  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

2.  A Meshfree Representation for Cardiac Medical Image Computing.

Authors:  Heye Zhang; Zhifan Gao; Lin Xu; Xingjian Yu; Ken C L Wong; Huafeng Liu; Ling Zhuang; Pengcheng Shi
Journal:  IEEE J Transl Eng Health Med       Date:  2018-01-18       Impact factor: 3.316

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.  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

5.  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

6.  Left Ventricular Diastolic Myocardial Stiffness and End-Diastolic Myofibre Stress in Human Heart Failure Using Personalised Biomechanical Analysis.

Authors:  Zhinuo J Wang; Vicky Y Wang; Chris P Bradley; Martyn P Nash; Alistair A Young; J Jane Cao
Journal:  J Cardiovasc Transl Res       Date:  2018-07-11       Impact factor: 4.132

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.  Multi-parametric MRI as an indirect evaluation tool of the mechanical properties of in-vitro cardiac tissues.

Authors:  Delphine Périé; Nagib Dahdah; Anthony Foudis; Daniel Curnier
Journal:  BMC Cardiovasc Disord       Date:  2013-03-27       Impact factor: 2.298

9.  An inverse finite element method for determining the tissue compressibility of human left ventricular wall during the cardiac cycle.

Authors:  Abdallah I Hassaballah; Mohsen A Hassan; Azizi N Mardi; Mohd Hamdi
Journal:  PLoS One       Date:  2013-12-19       Impact factor: 3.240

10.  Parameter estimation in a Holzapfel-Ogden law for healthy myocardium.

Authors:  H Gao; W G Li; L Cai; C Berry; X Y Luo
Journal:  J Eng Math       Date:  2015-01-30       Impact factor: 1.509

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.