AIMC Topic: Carotid Arteries

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Contralateral artery enlargement predicts carotid plaque progression based on machine learning algorithm models in apoE mice.

Biomedical engineering online Dec 28, 2016
BACKGROUND: This study specifically focused on anatomical MRI characterization of the low shear stress-induced atherosclerotic plaque in mice. We used machine learning algorithms to analyze multiple correlation factors of plaque to generate predictiv...
Plaque, Atherosclerotic Ultrasonography Blood Flow Velocity Mice Mice, Transgenic Support Vector Machine Apolipoproteins E Sensitivity and Specificity Machine Learning Magnetic Resonance Imaging Predictive Value of Tests Animals Algorithms Mice, Inbred C57BL Male Ultrasonography, Doppler Decision Making Disease Progression Carotid Arteries Lipids Reproducibility of Results
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Machine Learning Approach for Predicting Wall Shear Distribution for Abdominal Aortic Aneurysm and Carotid Bifurcation Models.

IEEE journal of biomedical and health informatics Dec 14, 2016
Computer simulations based on the finite element method represent powerful tools for modeling blood flow through arteries. However, due to its computational complexity, this approach may be inappropriate when results are needed quickly. In order to r...
Models, Cardiovascular Aortic Aneurysm, Abdominal Humans Stress, Mechanical Machine Learning Carotid Arteries Hemodynamics Finite Element Analysis Models, Statistical
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A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound.

IEEE journal of biomedical and health informatics Nov 22, 2016
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 are prone to rupture, and thus for early risk estimation of ...
Plaque, Atherosclerotic Carotid Artery Diseases Ultrasonography Image Processing, Computer-Assisted Carotid Arteries Humans Neural Networks, Computer
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PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale plaque morphology.

Computer methods and programs in biomedicine Mar 2, 2016
BACKGROUND AND OBJECTIVE: Percutaneous coronary interventional procedures need advance planning prior to stenting or an endarterectomy. Cardiologists use intravascular ultrasound (IVUS) for screening, risk assessment and stratification of coronary ar...
Coronary Artery Disease Coronary Vessels Carotid Intima-Media Thickness Carotid Arteries Plaque, Atherosclerotic Ultrasonography Computational Biology Support Vector Machine Principal Component Analysis Middle Aged Risk Assessment Computer-Aided Design Algorithms Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Adult Male Humans Machine Learning
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Multiple Sparse Representations Classification.

PloS one Jul 15, 2015
Sparse representations classification (SRC) is a powerful technique for pixelwise classification of images and it is increasingly being used for a wide variety of image analysis tasks. The method uses sparse representation and learned redundant dicti...
Artificial Intelligence Image Processing, Computer-Assisted Radiography Support Vector Machine Carotid Arteries Magnetic Resonance Imaging Principal Component Analysis
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Two-stage convolutional neural network for segmentation and detection of carotid web on CT angiography.

Journal of neurointerventional surgery Jun 16, 2025
BACKGROUND: Carotid web (CaW) is a risk factor for ischemic stroke, mainly in young patients with stroke of undetermined etiology. Its detection is challenging, especially among non-experienced physicians.
Humans Neural Networks, Computer Female Aged Male Ischemic Stroke Middle Aged Carotid Arteries Convolutional Neural Networks Computed Tomography Angiography Carotid Artery Diseases
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Fully automated image quality assessment based on deep learning for carotid computed tomography angiography: A multicenter study.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jun 1, 2025
PURPOSE: To develop and evaluate the performance of fully automated model based on deep learning and multiple logistics regression algorithm for image quality assessment (IQA) of carotid computed tomography angiography (CTA) images.
Deep Learning Image Processing, Computer-Assisted Quality Control Automation Carotid Arteries Computed Tomography Angiography Female Humans Aged Retrospective Studies Male Middle Aged
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Recognizing artery segments on carotid ultrasonography using embedding concatenation of deep image and vision-language models.

Physics in medicine and biology May 22, 2025
Evaluating large artery atherosclerosis is critical for predicting and preventing ischemic strokes. Ultrasonographic assessment of the carotid arteries is the preferred first-line examination due to its ease of use, noninvasive, and absence of radiat...
Ultrasonography, Carotid Arteries Ultrasonography Image Processing, Computer-Assisted Carotid Arteries Humans Language Female Male Deep Learning
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Detection of carotid artery calcifications using artificial intelligence in dental radiographs: a systematic review and meta-analysis.

BMC medical imaging May 19, 2025
BACKGROUND: Carotid artery calcifications are important markers of cardiovascular health, often associated with atherosclerosis and a higher risk of stroke. Recent research shows that dental radiographs can help identify these calcifications, allowin...
Vascular Calcification Radiography, Dental Sensitivity and Specificity Carotid Artery Diseases Humans Cone-Beam Computed Tomography Artificial Intelligence Radiography, Panoramic Algorithms Carotid Arteries
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[Deep Learning-Based Artificial Intelligence Model for Automatic Carotid Plaque Identification].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Jul 30, 2024
This study aims at developing a dataset for determining the presence of carotid artery plaques in ultrasound images, composed of 1761 ultrasound images from 1165 participants. A deep learning architecture that combines bilinear convolutional neural n...
Humans Neural Networks, Computer Carotid Arteries Plaque, Atherosclerotic Carotid Stenosis Carotid Artery Diseases Artificial Intelligence Deep Learning Ultrasonography Image Processing, Computer-Assisted
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