AIMC Topic: Coronary Vessels

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Epicardial adipose tissue and myocardial ischemia assessed by computed tomography perfusion imaging and invasive fractional flow reserve.

Journal of cardiovascular computed tomography Dec 30, 2016
BACKGROUND: Epicardial adipose tissue (EAT) is a metabolically active fat depot that is associated with incident coronary artery disease (CAD) and major adverse cardiovascular events. The relationship between EAT and myocardial ischemia remains uncle...
Coronary Stenosis Adipose Tissue Aged Fractional Flow Reserve, Myocardial Predictive Value of Tests Humans Coronary Vessels Myocardial Perfusion Imaging Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Pericardium Tomography, X-Ray Computed Female Coronary Angiography Male Middle Aged
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An artificial neural network method for lumen and media-adventitia border detection in IVUS.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 17, 2016
Intravascular ultrasound (IVUS) has been well recognized as one powerful imaging technique to evaluate the stenosis inside the coronary arteries. The detection of lumen border and media-adventitia (MA) border in IVUS images is the key procedure to de...
Plaque, Atherosclerotic Humans Neural Networks, Computer Pathology, Clinical Image Interpretation, Computer-Assisted Adventitia Coronary Vessels Research Design Ultrasonography
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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...
Aged, 80 and over Adult Male Plaque, Atherosclerotic Humans Computer-Aided Design Female Machine Learning Coronary Artery Disease Computational Biology Middle Aged Reproducibility of Results Algorithms Carotid Intima-Media Thickness Coronary Vessels Ultrasonography Risk Assessment Aged Support Vector Machine Retrospective Studies Carotid Arteries Principal Component Analysis
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Fast Computation of Hemodynamic Sensitivity to Lumen Segmentation Uncertainty.

IEEE transactions on medical imaging Jun 16, 2015
Patient-specific blood flow modeling combining imaging data and computational fluid dynamics can aid in the assessment of coronary artery disease. Accurate coronary segmentation and realistic physiologic modeling of boundary conditions are important ...
Humans Coronary Angiography Tomography, X-Ray Computed Coronary Vessels Coronary Artery Disease Hemodynamics Machine Learning Algorithms Imaging, Three-Dimensional
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Impact of Deep Learning-Based Image Conversion on Fully Automated Coronary Artery Calcium Scoring Using Thin-Slice, Sharp-Kernel, Non-Gated, Low-Dose Chest CT Scans: A Multi-Center Study.

Korean journal of radiology Aug 1, 2025
OBJECTIVE: To evaluate the impact of deep learning-based image conversion on the accuracy of automated coronary artery calcium quantification using thin-slice, sharp-kernel, non-gated, low-dose chest computed tomography (LDCT) images collected from m...
Coronary Artery Disease Coronary Vessels Radiation Dosage Radiography, Thoracic Middle Aged Vascular Calcification Humans Tomography, X-Ray Computed Deep Learning Aged Retrospective Studies Female Male Radiographic Image Interpretation, Computer-Assisted
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Deep learning techniques for automated coronary artery segmentation and coronary artery disease detection: A systematic review of the last decade (2013-2024).

Computer methods and programs in biomedicine Aug 1, 2025
BACKGROUND: Coronary artery disease (CAD) is the most common cardiovascular disease, exacting high morbidity and mortality worldwide. CAD is detected on coronary artery imaging; coronary artery segmentation (CAS) of the images is essential for corona...
Deep Learning Coronary Artery Disease Coronary Vessels Humans Neural Networks, Computer Algorithms
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Computed Tomography Advancements in Plaque Analysis: From Histology to Comprehensive Plaque Burden Assessment.

Echocardiography (Mount Kisco, N.Y.) Jul 1, 2025
Advancements in coronary computed tomography angiography (CCTA) facilitated the transition from traditional histological approaches to comprehensive plaque burden assessment. Recent updates in the European Society of Cardiology (ESC) guidelines empha...
Coronary Artery Disease Coronary Vessels Plaque, Atherosclerotic Computed Tomography Angiography Humans Coronary Angiography
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Bi-VesTreeFormer: A bidirectional topology-aware transformer framework for coronary vFFR estimation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 1, 2025
Fractional Flow Reserve (FFR) serves as the gold standard for evaluating the functional significance of coronary artery stenosis. However, traditional FFR involves the injection of vasodilator drugs and the utilization of additional guidewires, which...
Fractional Flow Reserve, Myocardial Coronary Angiography Coronary Vessels Humans Coronary Stenosis Algorithms
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A multi-model deep learning approach for the identification of coronary artery calcifications within 2D coronary angiography images.

International journal of computer assisted radiology and surgery Jun 1, 2025
PURPOSE: Identifying and quantifying coronary artery calcification (CAC) is crucial for preoperative planning, as it helps to estimate both the complexity of the 2D coronary angiography (2DCA) procedure and the risk of developing intraoperative compl...
Humans Female Male Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Workflow Coronary Vessels Middle Aged Deep Learning Coronary Angiography Vascular Calcification
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GVM-Net: A GNN-Based Vessel Matching Network for 2D/3D Non-Rigid Coronary Artery Registration.

IEEE transactions on medical imaging Jun 1, 2025
The registration of coronary artery structures from preoperative coronary computed tomography angiography to intraoperative coronary angiography is of great interest to improve guidance in percutaneous coronary interventions. However, non-rigid defor...
Computed Tomography Angiography Imaging, Three-Dimensional Coronary Angiography Coronary Vessels Algorithms Databases, Factual Humans Neural Networks, Computer
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