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...

Full description

Bibliographic Details
Main Authors: Dongxu Liu, Zhijian Hu, Ge Wang, Lizhi Sun
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8731870/
id doaj-2000163ef57f4508b49542686ca67bb0
record_format Article
spelling 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