AIMC Topic: Coronary Vessels
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The value of CCTA combined with machine learning for predicting angina pectoris in the anomalous origin of the right coronary artery.
Biomedical engineering online
Sep 12, 2024
BACKGROUND: Anomalous origin of coronary artery is a common coronary artery anatomy anomaly. The anomalous origin of the coronary artery may lead to problems such as narrowing of the coronary arteries at the beginning of the coronary arteries and abn...
Deep learning model for intravascular ultrasound image segmentation with temporal consistency.
The international journal of cardiovascular imaging
Aug 27, 2024
This study was conducted to develop and validate a deep learning model for delineating intravascular ultrasound (IVUS) images of coronary arteries.Using a total of 1240 40-MHz IVUS pullbacks with 191,407 frames, the model for lumen and external elast...
Effective descriptor extraction strategies for correspondence matching in coronary angiography images.
Scientific reports
Aug 11, 2024
The importance of 3D reconstruction of coronary arteries using multiple coronary angiography (CAG) images has been increasingly recognized in the field of cardiovascular disease management. This process relies on the camera matrix's optimization, nee...
Scale Mutualized Perception for Vessel Border Detection in Intravascular Ultrasound Images.
IEEE/ACM transactions on computational biology and bioinformatics
Aug 9, 2024
Vessel border detection in IVUS images is essential for coronary disease diagnosis. It helps to obtain the clinical indices on the inner vessel morphology to indicate the stenosis. However, the existing methods suffer the challenge of scale-dependent...
Improving cardiovascular risk prediction with machine learning: a focus on perivascular adipose tissue characteristics.
Biomedical engineering online
Aug 5, 2024
BACKGROUND: Timely prevention of major adverse cardiovascular events (MACEs) is imperative for reducing cardiovascular diseases-related mortality. Perivascular adipose tissue (PVAT), the adipose tissue surrounding coronary arteries, has attracted inc...
Development of machine learning models for fractional flow reserve prediction in angiographically intermediate coronary lesions.
Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
Aug 1, 2024
BACKGROUND: Fractional flow reserve (FFR) represents the gold standard in guiding the decision to proceed or not with coronary revascularization of angiographically intermediate coronary lesion (AICL). Optical coherence tomography (OCT) allows to car...
Plaque, Atherosclerotic
Cardiac Catheterization
Coronary Stenosis
Fractional Flow Reserve, Myocardial
Middle Aged
Humans
Female
Severity of Illness Index
Software
Reproducibility of Results
Predictive Value of Tests
Decision Support Techniques
Aged
Coronary Angiography
Tomography, Optical Coherence
Databases, Factual
Coronary Artery Disease
Male
Supervised Machine Learning
Coronary Vessels
Noninvasive and fast method of calculation for instantaneous wave-free ratio based on haemodynamics and deep learning.
Computer methods and programs in biomedicine
Jul 23, 2024
BACKGROUND AND OBJECTIVES: Instantaneous wave-free ratio (iFR) is a new invasive indicator of myocardial ischaemia, and its diagnostic performance is as good as the "gold standard" of myocardial ischaemia diagnosis: fractional flow reserve (FFR). iFR...
Bifurcation detection in intravascular optical coherence tomography using vision transformer based deep learning.
Physics in medicine and biology
Jul 18, 2024
. Bifurcation detection in intravascular optical coherence tomography (IVOCT) images plays a significant role in guiding optimal revascularization strategies for percutaneous coronary intervention (PCI). We propose a bifurcation detection method usin...
Motion robust coronary MR angiography using zigzag centric ky-kz trajectory and high-resolution deep learning reconstruction.
Magma (New York, N.Y.)
Jun 25, 2024
PURPOSE: To develop a new MR coronary angiography (MRCA) technique by employing a zigzag fan-shaped centric k-k k-space trajectory combined with high-resolution deep learning reconstruction (HR-DLR).
Deep Learning
Imaging, Three-Dimensional
Image Processing, Computer-Assisted
Coronary Angiography
Female
Adult
Male
Middle Aged
Coronary Vessels
Signal-To-Noise Ratio
Magnetic Resonance Angiography
Feasibility Studies
Humans
Motion
Algorithms
Healthy Volunteers
Image Interpretation, Computer-Assisted
Development and Validation of Artificial Intelligence-Based Algorithms for Predicting the Segments Debulked by Rotational Atherectomy Using Intravascular Ultrasound Images.
The American journal of cardiology
May 22, 2024
We develop and evaluate an artificial intelligence (AI)-based algorithm that uses pre-rotation atherectomy (RA) intravascular ultrasound (IVUS) images to automatically predict regions debulked by RA. A total of 2106 IVUS cross-sections from 60 patien...
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