Literature DB >> 35649898

Numerical simulation of wave propagation through interfaces using the extended finite element method for magnetic resonance elastography.

Quanshangze Du1, Aline Bel-Brunon1, Simon Auguste Lambert2, Nahiène Hamila3.   

Abstract

Magnetic resonance elastography (MRE) is an elasticity imaging technique for quantitatively assessing the stiffness of human tissues. In MRE, finite element method (FEM) is widely used for modeling wave propagation and stiffness reconstruction. However, in front of inclusions with complex interfaces, FEM can become burdensome in terms of the model partition and computationally expensive. In this work, we implement a formulation of FEM, known as the eXtended finite element method (XFEM), which is a method used for modeling discontinuity like crack and heterogeneity. Using a level-set method, it makes the interface independent of the mesh, thus relieving the meshing efforts. We investigate this method in two studies: wave propagation across an oblique linear interface and stiffness reconstruction of a random-shape inclusion. In the first study, numerical results by XFEM and FEM models revealing the wave conversion rules at linear interface are presented and successfully compared to the theoretical predictions. The second study, investigated in a pseudo-practical application, demonstrates further the applicability of XFEM in MRE and the convenience, accuracy, and speed of XFEM with respect to FEM. XFEM can be regarded as a promising alternative to FEM for inclusion modeling in MRE.

Entities:  

Mesh:

Year:  2022        PMID: 35649898      PMCID: PMC9381142          DOI: 10.1121/10.0011392

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   2.482


  29 in total

1.  Estimating material viscoelastic properties based on surface wave measurements: a comparison of techniques and modeling assumptions.

Authors:  Thomas J Royston; Zoujun Dai; Rajesh Chaunsali; Yifei Liu; Ying Peng; Richard L Magin
Journal:  J Acoust Soc Am       Date:  2011-12       Impact factor: 1.840

2.  A finite element model for analyzing shear wave propagation observed in magnetic resonance elastography.

Authors:  Qingshan Chen; Stacie I Ringleb; Armando Manduca; Richard L Ehman; Kai-Nan An
Journal:  J Biomech       Date:  2004-12-23       Impact factor: 2.712

3.  Shear modulus reconstruction in dynamic elastography: time harmonic case.

Authors:  Eunyoung Park; Antoinette M Maniatty
Journal:  Phys Med Biol       Date:  2006-07-12       Impact factor: 3.609

4.  MREJ: MRE elasticity reconstruction on ImageJ.

Authors:  Kui Xiang; Xia Li Zhu; Chang Xin Wang; Bing Nan Li
Journal:  Comput Biol Med       Date:  2013-04-16       Impact factor: 4.589

5.  A comparison of direct and iterative finite element inversion techniques in dynamic elastography.

Authors:  M Honarvar; R Rohling; S E Salcudean
Journal:  Phys Med Biol       Date:  2016-03-22       Impact factor: 3.609

6.  An automatic differentiation-based gradient method for inversion of the shear wave equation in magnetic resonance elastography: specific application in fibrous soft tissues.

Authors:  Simon Chatelin; Isabelle Charpentier; Nadège Corbin; Laurence Meylheuc; Jonathan Vappou
Journal:  Phys Med Biol       Date:  2016-06-14       Impact factor: 3.609

7.  Machine Learning Prediction of Liver Stiffness Using Clinical and T2-Weighted MRI Radiomic Data.

Authors:  Lili He; Hailong Li; Jonathan A Dudley; Thomas C Maloney; Samuel L Brady; Elanchezhian Somasundaram; Andrew T Trout; Jonathan R Dillman
Journal:  AJR Am J Roentgenol       Date:  2019-05-23       Impact factor: 3.959

8.  Artificial neural networks for magnetic resonance elastography stiffness estimation in inhomogeneous materials.

Authors:  Jonathan M Scott; Arvin Arani; Armando Manduca; Kiaran P McGee; Joshua D Trzasko; John Huston; Richard L Ehman; Matthew C Murphy
Journal:  Med Image Anal       Date:  2020-04-22       Impact factor: 8.545

Review 9.  Review of MR elastography applications and recent developments.

Authors:  Kevin J Glaser; Armando Manduca; Richard L Ehman
Journal:  J Magn Reson Imaging       Date:  2012-10       Impact factor: 4.813

10.  A heterogenous, time harmonic, nearly incompressible transverse isotropic finite element brain simulation platform for MR elastography.

Authors:  Matthew McGarry; Elijah Van Houten; Charlotte Guertler; Ruth Okamoto; Daniel Smith; Damian Sowinski; Curtis Johnson; Philip Bayly; John Weaver; Keith Paulsen
Journal:  Phys Med Biol       Date:  2021-02-26       Impact factor: 4.174

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.