Quantification of Atherosclerotic Plaque Elasticity Using Ultrasonic Texture Matching
The composition of an atherosclerotic plaque is a major determinant of its vulnerability, i.e. proneness to rupture. This paper proposes an ultrasonic texture matching method, which is shown to reflect the distribution of elastic modulus and is a potential method for quantitatively analyzing differe...
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doaj-51f47a7723204dd7a9321d4a763f66bf2021-03-30T03:00:26ZengIEEEIEEE Access2169-35362020-01-018942689427810.1109/ACCESS.2020.29964329097856Quantification of Atherosclerotic Plaque Elasticity Using Ultrasonic Texture MatchingHongyu Kang0https://orcid.org/0000-0001-7524-7858Yanling Zhang1https://orcid.org/0000-0003-3496-1822Xiaowei Huang2https://orcid.org/0000-0002-7625-6198Lili Niu3https://orcid.org/0000-0002-8865-1654Hui Zhang4Lisheng Xu5https://orcid.org/0000-0001-8360-3605Derek Abbott6https://orcid.org/0000-0002-0945-2674Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaDepartment of Ultrasound, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaPaul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaPaul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaDepartment of Ultrasound, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, ChinaCentre for Biomedical Engineering, University of Adelaide, Adelaide, SA, AustraliaThe composition of an atherosclerotic plaque is a major determinant of its vulnerability, i.e. proneness to rupture. This paper proposes an ultrasonic texture matching method, which is shown to reflect the distribution of elastic modulus and is a potential method for quantitatively analyzing different plaque components based on B-mode cine-loops. We performed an in vitro study, employing plaque phantoms fabricated using polyvinyl alcohol. Firstly, the phantoms with two components (soft tissue: 60.9 ± 6.8 kPa; surrounding tissue: 248.8 ± 12.1 kPa) were fabricated. Soft tissue occupied 10%, 40% and 64% of the total plaque volume. Further, three tissue components (soft tissue: 60.9 ± 6.8 kPa; hard tissue: 248.8 ± 12.1 kPa; surrounding tissue: 310.3 ± 14.1 kPa) were made. Soft and hard tissues occupied 32% of total plaque volume, respectively. For our in vivo study, six mice with ApoE knockout and three New Zealand white rabbits with abdominal aortic balloon injury were evaluated. Ultrasound cine-loop data of plaques were collected to calculate elastic modulus, then the plaque tissues were removed for further histology examination. The cine-loop data in vitro study and in vivo study were acquired by an ultrasound micro-imaging system (VisualSonics Vevo2100). In the phantom experiment, the mean elastic moduli of two component phantoms were 60.4 ± 7.6 kPa (soft tissue) and 198.5 ± 12.5 kPa (surrounding tissue), respectively. Similarly, the mean elastic moduli of three component phantoms exhibited 90.2 ± 6.2 kPa (soft tissue), 184.3 ± 11.6 kPa (hard tissue) and 381.6 ± 3.8 kPa (surrounding tissue), respectively. In animal experiments, the percentage of lipid tissue and calcification regions was also quantified in mice and in rabbit experiment with the histological results. This suggests that the texture matching method may be a potential method to identify lipid component of plaque and to predict the vulnerability of atherosclerosis plaques noninvasively.https://ieeexplore.ieee.org/document/9097856/Ultrasound imagingplaquebiomechanicselastic modulus |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hongyu Kang Yanling Zhang Xiaowei Huang Lili Niu Hui Zhang Lisheng Xu Derek Abbott |
spellingShingle |
Hongyu Kang Yanling Zhang Xiaowei Huang Lili Niu Hui Zhang Lisheng Xu Derek Abbott Quantification of Atherosclerotic Plaque Elasticity Using Ultrasonic Texture Matching IEEE Access Ultrasound imaging plaque biomechanics elastic modulus |
author_facet |
Hongyu Kang Yanling Zhang Xiaowei Huang Lili Niu Hui Zhang Lisheng Xu Derek Abbott |
author_sort |
Hongyu Kang |
title |
Quantification of Atherosclerotic Plaque Elasticity Using Ultrasonic Texture Matching |
title_short |
Quantification of Atherosclerotic Plaque Elasticity Using Ultrasonic Texture Matching |
title_full |
Quantification of Atherosclerotic Plaque Elasticity Using Ultrasonic Texture Matching |
title_fullStr |
Quantification of Atherosclerotic Plaque Elasticity Using Ultrasonic Texture Matching |
title_full_unstemmed |
Quantification of Atherosclerotic Plaque Elasticity Using Ultrasonic Texture Matching |
title_sort |
quantification of atherosclerotic plaque elasticity using ultrasonic texture matching |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
The composition of an atherosclerotic plaque is a major determinant of its vulnerability, i.e. proneness to rupture. This paper proposes an ultrasonic texture matching method, which is shown to reflect the distribution of elastic modulus and is a potential method for quantitatively analyzing different plaque components based on B-mode cine-loops. We performed an in vitro study, employing plaque phantoms fabricated using polyvinyl alcohol. Firstly, the phantoms with two components (soft tissue: 60.9 ± 6.8 kPa; surrounding tissue: 248.8 ± 12.1 kPa) were fabricated. Soft tissue occupied 10%, 40% and 64% of the total plaque volume. Further, three tissue components (soft tissue: 60.9 ± 6.8 kPa; hard tissue: 248.8 ± 12.1 kPa; surrounding tissue: 310.3 ± 14.1 kPa) were made. Soft and hard tissues occupied 32% of total plaque volume, respectively. For our in vivo study, six mice with ApoE knockout and three New Zealand white rabbits with abdominal aortic balloon injury were evaluated. Ultrasound cine-loop data of plaques were collected to calculate elastic modulus, then the plaque tissues were removed for further histology examination. The cine-loop data in vitro study and in vivo study were acquired by an ultrasound micro-imaging system (VisualSonics Vevo2100). In the phantom experiment, the mean elastic moduli of two component phantoms were 60.4 ± 7.6 kPa (soft tissue) and 198.5 ± 12.5 kPa (surrounding tissue), respectively. Similarly, the mean elastic moduli of three component phantoms exhibited 90.2 ± 6.2 kPa (soft tissue), 184.3 ± 11.6 kPa (hard tissue) and 381.6 ± 3.8 kPa (surrounding tissue), respectively. In animal experiments, the percentage of lipid tissue and calcification regions was also quantified in mice and in rabbit experiment with the histological results. This suggests that the texture matching method may be a potential method to identify lipid component of plaque and to predict the vulnerability of atherosclerosis plaques noninvasively. |
topic |
Ultrasound imaging plaque biomechanics elastic modulus |
url |
https://ieeexplore.ieee.org/document/9097856/ |
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