Elastography Method for Reconstruction of Nonlinear Breast Tissue Properties

Elastography is developed as a quantitative approach to imaging linear elastic properties of tissues to detect suspicious tumors. In this paper a nonlinear elastography method is introduced for reconstruction of complex breast tissue properties. The elastic parameters are estimated by optimally mini...

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Main Authors: Z. G. Wang, Y. Liu, G. Wang, L. Z. Sun
Format: Article
Language:English
Published: Hindawi Limited 2009-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2009/406854
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spelling doaj-1bf4825501a2494291a46655226aff5a2020-11-24T21:02:21ZengHindawi LimitedInternational Journal of Biomedical Imaging1687-41881687-41962009-01-01200910.1155/2009/406854406854Elastography Method for Reconstruction of Nonlinear Breast Tissue PropertiesZ. G. Wang0Y. Liu1G. Wang2L. Z. Sun3Department of Civil and Environmental Engineering, University of Iowa, Iowa City, IA 52242, USADepartment of Biomedical Engineering, Indiana University-Purdue University Indianapolis (IUPUI), Indianapolis, IN 46202, USASchool of Biomedical Engineering and Sciences, Virginia Tech, Blacksburg, VA 24061, USADepartment of Civil and Environmental Engineering, University of California, Irvine, CA 92697, USAElastography is developed as a quantitative approach to imaging linear elastic properties of tissues to detect suspicious tumors. In this paper a nonlinear elastography method is introduced for reconstruction of complex breast tissue properties. The elastic parameters are estimated by optimally minimizing the difference between the computed forces and experimental measures. A nonlinear adjoint method is derived to calculate the gradient of the objective function, which significantly enhances the numerical efficiency and stability. Simulations are conducted on a three-dimensional heterogeneous breast phantom extracting from real imaging including fatty tissue, glandular tissue, and tumors. An exponential-form of nonlinear material model is applied. The effect of noise is taken into account. Results demonstrate that the proposed nonlinear method opens the door toward nonlinear elastography and provides guidelines for future development and clinical application in breast cancer study.http://dx.doi.org/10.1155/2009/406854
collection DOAJ
language English
format Article
sources DOAJ
author Z. G. Wang
Y. Liu
G. Wang
L. Z. Sun
spellingShingle Z. G. Wang
Y. Liu
G. Wang
L. Z. Sun
Elastography Method for Reconstruction of Nonlinear Breast Tissue Properties
International Journal of Biomedical Imaging
author_facet Z. G. Wang
Y. Liu
G. Wang
L. Z. Sun
author_sort Z. G. Wang
title Elastography Method for Reconstruction of Nonlinear Breast Tissue Properties
title_short Elastography Method for Reconstruction of Nonlinear Breast Tissue Properties
title_full Elastography Method for Reconstruction of Nonlinear Breast Tissue Properties
title_fullStr Elastography Method for Reconstruction of Nonlinear Breast Tissue Properties
title_full_unstemmed Elastography Method for Reconstruction of Nonlinear Breast Tissue Properties
title_sort elastography method for reconstruction of nonlinear breast tissue properties
publisher Hindawi Limited
series International Journal of Biomedical Imaging
issn 1687-4188
1687-4196
publishDate 2009-01-01
description Elastography is developed as a quantitative approach to imaging linear elastic properties of tissues to detect suspicious tumors. In this paper a nonlinear elastography method is introduced for reconstruction of complex breast tissue properties. The elastic parameters are estimated by optimally minimizing the difference between the computed forces and experimental measures. A nonlinear adjoint method is derived to calculate the gradient of the objective function, which significantly enhances the numerical efficiency and stability. Simulations are conducted on a three-dimensional heterogeneous breast phantom extracting from real imaging including fatty tissue, glandular tissue, and tumors. An exponential-form of nonlinear material model is applied. The effect of noise is taken into account. Results demonstrate that the proposed nonlinear method opens the door toward nonlinear elastography and provides guidelines for future development and clinical application in breast cancer study.
url http://dx.doi.org/10.1155/2009/406854
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AT yliu elastographymethodforreconstructionofnonlinearbreasttissueproperties
AT gwang elastographymethodforreconstructionofnonlinearbreasttissueproperties
AT lzsun elastographymethodforreconstructionofnonlinearbreasttissueproperties
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