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Rescaled Local Interaction Simulation Approach for Shear Wave Propagation Modelling in Magnetic Resonance Elastography

Properties of soft biological tissues are increasingly used in medical diagnosis to detect various abnormalities, for example, in liver fibrosis or breast tumors. It is well known that mechanical stiffness of human organs can be obtained from organ responses to shear stress waves through Magnetic Re...

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Detalles Bibliográficos
Autores principales: Hashemiyan, Z., Packo, P., Staszewski, W. J., Uhl, T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4738718/
https://www.ncbi.nlm.nih.gov/pubmed/26884808
http://dx.doi.org/10.1155/2016/9343017
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author Hashemiyan, Z.
Packo, P.
Staszewski, W. J.
Uhl, T.
author_facet Hashemiyan, Z.
Packo, P.
Staszewski, W. J.
Uhl, T.
author_sort Hashemiyan, Z.
collection PubMed
description Properties of soft biological tissues are increasingly used in medical diagnosis to detect various abnormalities, for example, in liver fibrosis or breast tumors. It is well known that mechanical stiffness of human organs can be obtained from organ responses to shear stress waves through Magnetic Resonance Elastography. The Local Interaction Simulation Approach is proposed for effective modelling of shear wave propagation in soft tissues. The results are validated using experimental data from Magnetic Resonance Elastography. These results show the potential of the method for shear wave propagation modelling in soft tissues. The major advantage of the proposed approach is a significant reduction of computational effort.
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spelling pubmed-47387182016-02-16 Rescaled Local Interaction Simulation Approach for Shear Wave Propagation Modelling in Magnetic Resonance Elastography Hashemiyan, Z. Packo, P. Staszewski, W. J. Uhl, T. Comput Math Methods Med Research Article Properties of soft biological tissues are increasingly used in medical diagnosis to detect various abnormalities, for example, in liver fibrosis or breast tumors. It is well known that mechanical stiffness of human organs can be obtained from organ responses to shear stress waves through Magnetic Resonance Elastography. The Local Interaction Simulation Approach is proposed for effective modelling of shear wave propagation in soft tissues. The results are validated using experimental data from Magnetic Resonance Elastography. These results show the potential of the method for shear wave propagation modelling in soft tissues. The major advantage of the proposed approach is a significant reduction of computational effort. Hindawi Publishing Corporation 2016 2016-01-13 /pmc/articles/PMC4738718/ /pubmed/26884808 http://dx.doi.org/10.1155/2016/9343017 Text en Copyright © 2016 Z. Hashemiyan et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hashemiyan, Z.
Packo, P.
Staszewski, W. J.
Uhl, T.
Rescaled Local Interaction Simulation Approach for Shear Wave Propagation Modelling in Magnetic Resonance Elastography
title Rescaled Local Interaction Simulation Approach for Shear Wave Propagation Modelling in Magnetic Resonance Elastography
title_full Rescaled Local Interaction Simulation Approach for Shear Wave Propagation Modelling in Magnetic Resonance Elastography
title_fullStr Rescaled Local Interaction Simulation Approach for Shear Wave Propagation Modelling in Magnetic Resonance Elastography
title_full_unstemmed Rescaled Local Interaction Simulation Approach for Shear Wave Propagation Modelling in Magnetic Resonance Elastography
title_short Rescaled Local Interaction Simulation Approach for Shear Wave Propagation Modelling in Magnetic Resonance Elastography
title_sort rescaled local interaction simulation approach for shear wave propagation modelling in magnetic resonance elastography
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4738718/
https://www.ncbi.nlm.nih.gov/pubmed/26884808
http://dx.doi.org/10.1155/2016/9343017
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