A state of the art review on intima–media thickness (IMT) measurement and wall segmentation techniques for carotid ultrasound

F Molinari, G Zeng, JS Suri - Computer methods and programs in …, 2010 - Elsevier
Last 10 years have witnessed the growth of many computer applications for the
segmentation of the vessel wall in ultrasound imaging. Epidemiological studies showed that …

Ultrasound image segmentation and tissue characterization

JA Noble - Proceedings of the Institution of Mechanical …, 2010 - journals.sagepub.com
Ultrasound image segmentation deals with delineating the boundaries of structures, as a
step towards semi-automated or fully automated measurement of dimensions or for …

Anisotropic diffusion filter with memory based on speckle statistics for ultrasound images

G Ramos-Llordén… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Ultrasound (US) imaging exhibits considerable difficulties for medical visual inspection and
for development of automatic analysis methods due to speckle, which negatively affects the …

Implementation of a machine learning-based model for cardiovascular disease post exposure prophylaxis

VD Gowda, K Prasad, NA Kumar… - … for Advancement in …, 2023 - ieeexplore.ieee.org
According to research, characteristics taken from ultrasound imaging may help with
atherosclerosis diagnosis and decision-making. Atherosclerosis is estimated by parameters …

Completely automated multiresolution edge snapper—a new technique for an accurate carotid ultrasound IMT measurement: clinical validation and benchmarking on …

F Molinari, CS Pattichis, G Zeng, L Saba… - … on image processing, 2011 - ieeexplore.ieee.org
The aim of this paper is to describe a novel and completely automated technique for carotid
artery (CA) recognition, far (distal) wall segmentation, and intima-media thickness (IMT) …

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 …

Early-stage atherosclerosis detection using deep learning over carotid ultrasound images

RM Menchón-Lara, JL Sancho-Gómez… - Applied Soft …, 2016 - Elsevier
This paper proposes a computer-aided diagnosis tool for the early detection of
atherosclerosis. This pathology is responsible for major cardiovascular diseases, which are …

Segmentation of plaques in sequences of ultrasonic B-mode images of carotid arteries based on motion estimation and a Bayesian model

F Destrempes, J Meunier, MF Giroux… - IEEE Transactions …, 2011 - ieeexplore.ieee.org
The goal of this paper is to perform a segmentation of atherosclerotic plaques in view of
evaluating their burden and to provide boundaries for computing properties such as the …

Fully automatic segmentation of ultrasound common carotid artery images based on machine learning

RM Menchón-Lara, JL Sancho-Gómez - Neurocomputing, 2015 - Elsevier
Atherosclerosis is responsible for a large proportion of cardiovascular diseases (CVD),
which are the leading cause of death in the world. The atherosclerotic process is a complex …

A review of ultrasound common carotid artery image and video segmentation techniques

CP Loizou - Medical & biological engineering & computing, 2014 - Springer
The determination of the wall thickness [intima–media thickness (IMT)], the delineation of the
atherosclerotic carotid plaque, the measurement of the diameter in the common carotid …