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Numerical simulations of magnetic resonance elastography using finite element analysis with a linear heterogeneous viscoelastic model

ABSTRACT: Magnetic resonance elastography (MRE) is a technique to identify the viscoelastic moduli of biological tissues by solving the inverse problem from the displacement field of viscoelastic wave propagation in a tissue measured by MRI. Because finite element analysis (FEA) of MRE evaluates not...

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Autores principales: Tomita, Sunao, Suzuki, Hayato, Kajiwara, Itsuro, Nakamura, Gen, Jiang, Yu, Suga, Mikio, Obata, Takayuki, Tadano, Shigeru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5758693/
https://www.ncbi.nlm.nih.gov/pubmed/29367830
http://dx.doi.org/10.1007/s12650-017-0436-4
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author Tomita, Sunao
Suzuki, Hayato
Kajiwara, Itsuro
Nakamura, Gen
Jiang, Yu
Suga, Mikio
Obata, Takayuki
Tadano, Shigeru
author_facet Tomita, Sunao
Suzuki, Hayato
Kajiwara, Itsuro
Nakamura, Gen
Jiang, Yu
Suga, Mikio
Obata, Takayuki
Tadano, Shigeru
author_sort Tomita, Sunao
collection PubMed
description ABSTRACT: Magnetic resonance elastography (MRE) is a technique to identify the viscoelastic moduli of biological tissues by solving the inverse problem from the displacement field of viscoelastic wave propagation in a tissue measured by MRI. Because finite element analysis (FEA) of MRE evaluates not only the viscoelastic model for a tissue but also the efficiency of the inversion algorithm, we developed FEA for MRE using commercial software called ANSYS, the Zener model for displacement field of a wave inside tissue, and an inversion algorithm called the modified integral method. The profile of the simulated displacement field by FEA agrees well with the experimental data measured by MRE for gel phantoms. Similarly, the value of storage modulus (i.e., stiffness) recovered using the modified integral method with the simulation data is consistent with the value given in FEA. Furthermore, applying the suggested FEA to a human liver demonstrates the effectiveness of the present simulation scheme. GRAPHICAL ABSTRACT: [Image: see text]
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spelling pubmed-57586932018-01-22 Numerical simulations of magnetic resonance elastography using finite element analysis with a linear heterogeneous viscoelastic model Tomita, Sunao Suzuki, Hayato Kajiwara, Itsuro Nakamura, Gen Jiang, Yu Suga, Mikio Obata, Takayuki Tadano, Shigeru J Vis (Tokyo) Regular Paper ABSTRACT: Magnetic resonance elastography (MRE) is a technique to identify the viscoelastic moduli of biological tissues by solving the inverse problem from the displacement field of viscoelastic wave propagation in a tissue measured by MRI. Because finite element analysis (FEA) of MRE evaluates not only the viscoelastic model for a tissue but also the efficiency of the inversion algorithm, we developed FEA for MRE using commercial software called ANSYS, the Zener model for displacement field of a wave inside tissue, and an inversion algorithm called the modified integral method. The profile of the simulated displacement field by FEA agrees well with the experimental data measured by MRE for gel phantoms. Similarly, the value of storage modulus (i.e., stiffness) recovered using the modified integral method with the simulation data is consistent with the value given in FEA. Furthermore, applying the suggested FEA to a human liver demonstrates the effectiveness of the present simulation scheme. GRAPHICAL ABSTRACT: [Image: see text] Springer Berlin Heidelberg 2017-06-10 2018 /pmc/articles/PMC5758693/ /pubmed/29367830 http://dx.doi.org/10.1007/s12650-017-0436-4 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Regular Paper
Tomita, Sunao
Suzuki, Hayato
Kajiwara, Itsuro
Nakamura, Gen
Jiang, Yu
Suga, Mikio
Obata, Takayuki
Tadano, Shigeru
Numerical simulations of magnetic resonance elastography using finite element analysis with a linear heterogeneous viscoelastic model
title Numerical simulations of magnetic resonance elastography using finite element analysis with a linear heterogeneous viscoelastic model
title_full Numerical simulations of magnetic resonance elastography using finite element analysis with a linear heterogeneous viscoelastic model
title_fullStr Numerical simulations of magnetic resonance elastography using finite element analysis with a linear heterogeneous viscoelastic model
title_full_unstemmed Numerical simulations of magnetic resonance elastography using finite element analysis with a linear heterogeneous viscoelastic model
title_short Numerical simulations of magnetic resonance elastography using finite element analysis with a linear heterogeneous viscoelastic model
title_sort numerical simulations of magnetic resonance elastography using finite element analysis with a linear heterogeneous viscoelastic model
topic Regular Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5758693/
https://www.ncbi.nlm.nih.gov/pubmed/29367830
http://dx.doi.org/10.1007/s12650-017-0436-4
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