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Ultrasound Shear Wave Simulation of Breast Tumor Using Nonlinear Tissue Elasticity

Shear wave elasticity imaging (SWEI) can assess the elasticity of tissues, but the shear modulus estimated in SWEI is often less sensitive to a subtle change of the stiffness that produces only small mechanical contrast to the background tissues. Because most soft tissues exhibit mechanical nonlinea...

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Autor principal: Park, Dae Woo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4884854/
https://www.ncbi.nlm.nih.gov/pubmed/27293476
http://dx.doi.org/10.1155/2016/2541325
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author Park, Dae Woo
author_facet Park, Dae Woo
author_sort Park, Dae Woo
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description Shear wave elasticity imaging (SWEI) can assess the elasticity of tissues, but the shear modulus estimated in SWEI is often less sensitive to a subtle change of the stiffness that produces only small mechanical contrast to the background tissues. Because most soft tissues exhibit mechanical nonlinearity that differs in tissue types, mechanical contrast can be enhanced if the tissues are compressed. In this study, a finite element- (FE-) based simulation was performed for a breast tissue model, which consists of a circular (D: 10 mm, hard) tumor and surrounding tissue (soft). The SWEI was performed with 0% to 30% compression of the breast tissue model. The shear modulus of the tumor exhibited noticeably high nonlinearity compared to soft background tissue above 10% overall applied compression. As a result, the elastic modulus contrast of the tumor to the surrounding tissue was increased from 0.46 at 0% compression to 1.45 at 30% compression.
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spelling pubmed-48848542016-06-12 Ultrasound Shear Wave Simulation of Breast Tumor Using Nonlinear Tissue Elasticity Park, Dae Woo Comput Math Methods Med Research Article Shear wave elasticity imaging (SWEI) can assess the elasticity of tissues, but the shear modulus estimated in SWEI is often less sensitive to a subtle change of the stiffness that produces only small mechanical contrast to the background tissues. Because most soft tissues exhibit mechanical nonlinearity that differs in tissue types, mechanical contrast can be enhanced if the tissues are compressed. In this study, a finite element- (FE-) based simulation was performed for a breast tissue model, which consists of a circular (D: 10 mm, hard) tumor and surrounding tissue (soft). The SWEI was performed with 0% to 30% compression of the breast tissue model. The shear modulus of the tumor exhibited noticeably high nonlinearity compared to soft background tissue above 10% overall applied compression. As a result, the elastic modulus contrast of the tumor to the surrounding tissue was increased from 0.46 at 0% compression to 1.45 at 30% compression. Hindawi Publishing Corporation 2016 2016-05-16 /pmc/articles/PMC4884854/ /pubmed/27293476 http://dx.doi.org/10.1155/2016/2541325 Text en Copyright © 2016 Dae Woo Park. 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
Park, Dae Woo
Ultrasound Shear Wave Simulation of Breast Tumor Using Nonlinear Tissue Elasticity
title Ultrasound Shear Wave Simulation of Breast Tumor Using Nonlinear Tissue Elasticity
title_full Ultrasound Shear Wave Simulation of Breast Tumor Using Nonlinear Tissue Elasticity
title_fullStr Ultrasound Shear Wave Simulation of Breast Tumor Using Nonlinear Tissue Elasticity
title_full_unstemmed Ultrasound Shear Wave Simulation of Breast Tumor Using Nonlinear Tissue Elasticity
title_short Ultrasound Shear Wave Simulation of Breast Tumor Using Nonlinear Tissue Elasticity
title_sort ultrasound shear wave simulation of breast tumor using nonlinear tissue elasticity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4884854/
https://www.ncbi.nlm.nih.gov/pubmed/27293476
http://dx.doi.org/10.1155/2016/2541325
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