AIMC Topic: Coronary Vessels
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Automatic construction of coronary artery tree structure based on vessel blood flow tracking.
Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
Jan 25, 2022
We sought to propose an innovative vessel blood flow tracking (VBFT) method to extract coronary artery tree (CAT) and to assess the effectiveness of this VBFT versus the single-frame method. Construction of a CAT from a segmented artery is the basis ...
Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features.
BMC medical imaging
Jan 19, 2022
BACKGROUND: Automated segmentation of coronary arteries is a crucial step for computer-aided coronary artery disease (CAD) diagnosis and treatment planning. Correct delineation of the coronary artery is challenging in X-ray coronary angiography (XCA)...
Automated segmentation of metal stent and bioresorbable vascular scaffold in intravascular optical coherence tomography images using deep learning architectures.
Physics in medicine and biology
Dec 31, 2021
Percutaneous coronary intervention (PCI) with stent placement is a treatment effective for coronary artery diseases. Intravascular optical coherence tomography (OCT) with high resolution is used clinically to visualize stent deployment and restenosis...
Radiogenomics and Artificial Intelligence Approaches Applied to Cardiac Computed Tomography Angiography and Cardiac Magnetic Resonance for Precision Medicine in Coronary Heart Disease: A Systematic Review.
Circulation. Cardiovascular imaging
Dec 17, 2021
The risk of coronary heart disease (CHD) clinical manifestations and patient management is estimated according to risk scores accounting multifactorial risk factors, thus failing to cover the individual cardiovascular risk. Technological improvements...
Reconnection of fragmented parts of coronary arteries using local geometric features in X-ray angiography images.
Computers in biology and medicine
Dec 7, 2021
UNLABELLED: The segmentation of coronary arteries in X-ray images is essential for image-based guiding procedures and the diagnosis of cardiovascular disease. However, owing to the complex and thin structures of the coronary arteries, it is challengi...
Deep Learning-Based Approach to Automatically Assess Coronary Distensibility Following Kawasaki Disease.
Pediatric cardiology
Dec 2, 2021
Kawasaki disease is an acute vasculitis affecting children, which can lead to coronary artery (CA) aneurysms. Optical coherence tomography (OCT) has identified CA wall damage in KD patients, but it is unclear if these findings correlate with any dist...
Evaluation of robotic coronary artery bypass grafting in coronary artery disease with LAD as the culprit vessel.
Journal of cardiac surgery
Nov 25, 2021
Deep-Learning-Based Coronary Artery Calcium Detection from CT Image.
Sensors (Basel, Switzerland)
Oct 25, 2021
One of the most common methods for diagnosing coronary artery disease is the use of the coronary artery calcium score CT. However, the current diagnostic method using the coronary artery calcium score CT requires a considerable time, because the radi...
Deep Learning Algorithm Predicts Angiographic Coronary Artery Disease in Stable Patients Using Only a Standard 12-Lead Electrocardiogram.
The Canadian journal of cardiology
Aug 20, 2021
BACKGROUND: Current electrocardiogram analysis algorithms cannot predict the presence of coronary artery disease (CAD), especially in stable patients. This study assessed the ability of an artificial intelligence algorithm (ECGio; HEARTio Inc, Pittsb...
Deep Learning for Automatic Calcium Scoring in Population-Based Cardiovascular Screening.
JACC. Cardiovascular imaging
Aug 18, 2021
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