[HTML][HTML] Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: A narrative review for stroke application
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 …
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 …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
properties of scatterers that correlate with the tissue microstructure. Statistics of the envelope …
[HTML][HTML] Performance analysis of machine learning and deep learning architectures on early stroke detection using carotid artery ultrasound images
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 …
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 …
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 …
model of physical meaning, and the parametric imaging of the model parameters has been …