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...

Full description

Bibliographic Details
Main Authors: Hongyu Kang, Yanling Zhang, Xiaowei Huang, Lili Niu, Hui Zhang, Lisheng Xu, Derek Abbott
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9097856/
id doaj-51f47a7723204dd7a9321d4a763f66bf
record_format Article
spelling 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/
work_keys_str_mv AT hongyukang quantificationofatheroscleroticplaqueelasticityusingultrasonictexturematching
AT yanlingzhang quantificationofatheroscleroticplaqueelasticityusingultrasonictexturematching
AT xiaoweihuang quantificationofatheroscleroticplaqueelasticityusingultrasonictexturematching
AT liliniu quantificationofatheroscleroticplaqueelasticityusingultrasonictexturematching
AT huizhang quantificationofatheroscleroticplaqueelasticityusingultrasonictexturematching
AT lishengxu quantificationofatheroscleroticplaqueelasticityusingultrasonictexturematching
AT derekabbott quantificationofatheroscleroticplaqueelasticityusingultrasonictexturematching
_version_ 1724184185984253952