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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2017
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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] |
format | Online Article Text |
id | pubmed-5758693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
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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