[HTML][HTML] Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: A narrative review for stroke application

L Saba, SS Sanagala, SK Gupta… - Annals of …, 2021 - ncbi.nlm.nih.gov
Cardiovascular disease (CVD) is one of the leading causes of morbidity and mortality in the
United States of America and globally. Carotid arterial plaque, a cause and also a marker of …

Recent advances in vascular ultrasound imaging technology and their clinical implications

S Golemati, DD Cokkinos - Ultrasonics, 2022 - Elsevier
In this paper recent advances in vascular ultrasound imaging technology are discussed,
including three-dimensional ultrasound (3DUS), contrast-enhanced ultrasound (CEUS) and …

Computer-aided diagnosis of ischemic stroke using multi-dimensional image features in carotid color Doppler

CM Lo, PH Hung - Computers in Biology and Medicine, 2022 - Elsevier
Purpose Stroke is one of the leading causes of disability and mortality. Carotid
atherosclerosis is a crucial factor in the occurrence of ischemic stroke. To achieve timely …

Parameter estimation of the homodyned K distribution based on an artificial neural network for ultrasound tissue characterization

Z Zhou, A Gao, W Wu, DI Tai, JH Tseng, S Wu, PH Tsui - Ultrasonics, 2021 - Elsevier
The homodyned K (HK) distribution allows a general description of ultrasound backscatter
envelope statistics with specific physical meanings. In this study, we proposed a new …

Imaging of the vulnerable carotid plaque: role of imaging techniques and a research agenda

I Fabiani, C Palombo, D Caramella, J Nilsson… - Neurology, 2020 - AAN Enterprises
Objectives Atherothrombosis in the carotid arteries is a main cause of ischemic stroke and
may depend on plaque propensity to complicate with rupture or erosion, in turn related to …

[HTML][HTML] Atherosclerotic plaque classification in carotid ultrasound images using machine learning and explainable deep learning

S Singh, PK Jain, N Sharma, M Pohit, S Roy - Intelligent Medicine, 2024 - Elsevier
Objective The incidence of cardiovascular diseases (CVD) is rising rapidly worldwide. Some
forms of CVD, such as stroke and heart attack, are more common among patients with …

Homodyned K-distribution parameter estimation in quantitative ultrasound: autoencoder and bayesian neural network approaches

AKZ Tehrani, G Cloutier, A Tang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Quantitative ultrasound (QUS) analyzes the ultrasound (US) backscattered data to find the
properties of scatterers that correlate with the tissue microstructure. Statistics of the envelope …

Performance analysis of machine learning and deep learning architectures on early stroke detection using carotid artery ultrasound images

S Latha, P Muthu, KW Lai, A Khalil… - Frontiers in Aging …, 2022 - frontiersin.org
Atherosclerotic plaque deposit in the carotid artery is used as an early estimate to identify
the presence of cardiovascular diseases. Ultrasound images of the carotid artery are used to …

Shear wave elastography and quantitative ultrasound as biomarkers to characterize deep vein thrombosis in vivo

G Bosio, N Zenati, F Destrempes… - … of Ultrasound in …, 2022 - Wiley Online Library
Objective Investigate shear wave elastography (SWE) and quantitative ultrasound (QUS)
parameters in patients hospitalized for lower limb deep vein thrombosis (DVT). Method …

Liver fibrosis assessment using radiomics of ultrasound homodyned-K imaging based on the artificial neural network estimator

Z Zhou, Z Zhang, A Gao, DI Tai, S Wu… - Ultrasonic …, 2022 - journals.sagepub.com
The homodyned-K distribution is an important ultrasound backscatter envelope statistics
model of physical meaning, and the parametric imaging of the model parameters has been …