Sound Transmission-Based Elastography Imaging
Elastography is of great interest in biomechanics and medical imaging due to its nondestructive capability of mapping elasticity of tissues. The elastography framework relies on external excitations which actuate deformation inside an object. The internal response is then acquired and analyzed to ma...
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doaj-2000163ef57f4508b49542686ca67bb02021-03-29T23:44:38ZengIEEEIEEE Access2169-35362019-01-017743837439210.1109/ACCESS.2019.29213038731870Sound Transmission-Based Elastography ImagingDongxu Liu0https://orcid.org/0000-0001-7393-7337Zhijian Hu1Ge Wang2Lizhi Sun3https://orcid.org/0000-0001-9043-6526Department of Civil and Environmental Engineering, University of California at Irvine, Irvine, CA, USADepartment of Civil and Environmental Engineering, University of California at Irvine, Irvine, CA, USADepartment of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USADepartment of Civil and Environmental Engineering, University of California at Irvine, Irvine, CA, USAElastography is of great interest in biomechanics and medical imaging due to its nondestructive capability of mapping elasticity of tissues. The elastography framework relies on external excitations which actuate deformation inside an object. The internal response is then acquired and analyzed to map the distribution of elastic moduli. In this paper, with no need of measuring any internal responses, an integrated elastography method is developed which only requires the transmitted responses of applied sound waves. During the process, the tomography image (e.g., CT or MRI) and the applied waves are integrated into a computational model. Following a procedure of inverse analysis, the elasticity of all phases in the object is reconstructed when the computational transmission of waves matches with the measured transmission. The numerical simulation on brain tissues and a demonstration on silicon rubber phantom are conducted to validate the proposed method. Both cases demonstrate that the integrated method successfully predicts the real elasticity of samples. The verification measurements on the phantom further show that the predicted elastic moduli agree well with the experimental results of uniaxial compression testing.https://ieeexplore.ieee.org/document/8731870/Elastographyelastic modulusfinite element methodsound wavetransmission |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dongxu Liu Zhijian Hu Ge Wang Lizhi Sun |
spellingShingle |
Dongxu Liu Zhijian Hu Ge Wang Lizhi Sun Sound Transmission-Based Elastography Imaging IEEE Access Elastography elastic modulus finite element method sound wave transmission |
author_facet |
Dongxu Liu Zhijian Hu Ge Wang Lizhi Sun |
author_sort |
Dongxu Liu |
title |
Sound Transmission-Based Elastography Imaging |
title_short |
Sound Transmission-Based Elastography Imaging |
title_full |
Sound Transmission-Based Elastography Imaging |
title_fullStr |
Sound Transmission-Based Elastography Imaging |
title_full_unstemmed |
Sound Transmission-Based Elastography Imaging |
title_sort |
sound transmission-based elastography imaging |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
Elastography is of great interest in biomechanics and medical imaging due to its nondestructive capability of mapping elasticity of tissues. The elastography framework relies on external excitations which actuate deformation inside an object. The internal response is then acquired and analyzed to map the distribution of elastic moduli. In this paper, with no need of measuring any internal responses, an integrated elastography method is developed which only requires the transmitted responses of applied sound waves. During the process, the tomography image (e.g., CT or MRI) and the applied waves are integrated into a computational model. Following a procedure of inverse analysis, the elasticity of all phases in the object is reconstructed when the computational transmission of waves matches with the measured transmission. The numerical simulation on brain tissues and a demonstration on silicon rubber phantom are conducted to validate the proposed method. Both cases demonstrate that the integrated method successfully predicts the real elasticity of samples. The verification measurements on the phantom further show that the predicted elastic moduli agree well with the experimental results of uniaxial compression testing. |
topic |
Elastography elastic modulus finite element method sound wave transmission |
url |
https://ieeexplore.ieee.org/document/8731870/ |
work_keys_str_mv |
AT dongxuliu soundtransmissionbasedelastographyimaging AT zhijianhu soundtransmissionbasedelastographyimaging AT gewang soundtransmissionbasedelastographyimaging AT lizhisun soundtransmissionbasedelastographyimaging |
_version_ |
1724188954288193536 |