Assessment of carotid artery plaque components with machine learning classification using homodyned-K parametric maps and elastograms

MH Roy-Cardinal, F Destrempes… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Quantitative ultrasound (QUS) imaging methods, including elastography, echogenicity
analysis, and speckle statistical modeling, are available from a single ultrasound (US) radio …

Atherosclerotic risk stratification strategy for carotid arteries using texture-based features

UR Acharya, SV Sree, MMR Krishnan, F Molinari… - Ultrasound in medicine …, 2012 - Elsevier
Plaques in the carotid artery result in stenosis, which is one of the main causes for stroke.
Patients have to be carefully selected for stenosis treatments as they carry some risk. Since …

Non-invasive identification of vulnerable atherosclerotic plaques using texture analysis in ultrasound carotid elastography: An in vivo feasibility study validated by …

C Huang, Q He, M Huang, L Huang, X Zhao… - Ultrasound in Medicine …, 2017 - Elsevier
The aims of this study were to quantify the textural information of strain rate images in
ultrasound carotid elastography and evaluate the feasibility of using the textural features in …

Plaque tissue characterization and classification in ultrasound carotid scans: a paradigm for vascular feature amalgamation

UR Acharya, MMR Krishnan, SV Sree… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
The selection of carotid atherosclerosis patients for surgery or stenting is a crucial task in
atherosclerosis disease management. In order to select only those symptomatic cases who …

3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated …

SS Skandha, SK Gupta, L Saba, VK Koppula… - Computers in Biology …, 2020 - Elsevier
Abstract Background and Purpose Atherosclerotic plaque tissue rupture is one of the
leading causes of strokes. Early carotid plaque monitoring can help reduce cardiovascular …

A multicenter study on carotid ultrasound plaque tissue characterization and classification using six deep artificial intelligence models: a stroke application

L Saba, SS Sanagala, SK Gupta… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Atherosclerotic plaque in carotid arteries can ultimately lead to cerebrovascular events if not
monitored. The objectives of this study are (a) to design a set of artificial intelligence (AI) …

Texture-based classification of atherosclerotic carotid plaques

CI Christodoulou, CS Pattichis… - IEEE transactions on …, 2003 - ieeexplore.ieee.org
There are indications that the morphology of atherosclerotic carotid plaques, obtained by
high-resolution ultrasound imaging, has prognostic implications. The objective of this study …

Prediction of high-risk asymptomatic carotid plaques based on ultrasonic image features

EC Kyriacou, S Petroudi, CS Pattichis… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
Carotid plaques have been associated with ipsilateral neurological symptoms. High-
resolution ultrasound can provide information not only on the degree of carotid artery …

A convolutional neural network for automatic characterization of plaque composition in carotid ultrasound

K Lekadir, A Galimzianova, A Betriu… - IEEE journal of …, 2016 - ieeexplore.ieee.org
Characterization of carotid plaque composition, more specifically the amount of lipid core,
fibrous tissue, and calcified tissue, is an important task for the identification of plaques that …

Carotid plaque typing by multiple-parameter ultrasonic tissue characterization

T Noritomi, B Sigel, V Swami, J Justin, V Gahtan… - Ultrasound in medicine …, 1997 - Elsevier
We evaluated the ability of ultrasonic tissue characterization (UTC), based on backscattered
echo signals, to distinguish among the components of advanced carotid plaques. We …