AIMC Topic: Coronary Vessels
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Selective ensemble methods for deep learning segmentation of major vessels in invasive coronary angiography.
Medical physics
Jun 13, 2023
BACKGROUND: Invasive coronary angiography (ICA) is a primary imaging modality that visualizes the lumen area of coronary arteries for diagnosis and interventional guidance. In the current practice of quantitative coronary analysis (QCA), semi-automat...
Artificial intelligence using a deep learning versus expert computed tomography human reading in calcium score and coronary artery calcium data and reporting system classification.
Coronary artery disease
May 1, 2023
BACKGROUND: Artificial intelligence (AI) applied to cardiac imaging may provide improved processing, reading precision and advantages of automation. Coronary artery calcium (CAC) score testing is a standard stratification tool that is rapid and highl...
Deep Learning Model for Coronary Angiography.
Journal of cardiovascular translational research
Mar 16, 2023
The visual inspection of coronary artery stenosis is known to be significantly affected by variation, due to the presence of other tissues, camera movements, and uneven illumination. More accurate and intelligent coronary angiography diagnostic model...
A U-Shaped Network Based on Multi-level Feature and Dual-Attention Coordination Mechanism for Coronary Artery Segmentation of CCTA Images.
Cardiovascular engineering and technology
Feb 27, 2023
PURPOSE: Computed tomography coronary angiography (CCTA) images provide optimal visualization of coronary arteries to aid in diagnosing coronary heart disease (CHD). With the deep convolutional neural network, this work aims to develop an intelligent...
Editorial for "Deep Learning-Based Acceleration of Compressed Sensing Noncontrast-Enhanced Coronary Magnetic Resonance Angiography in Patients With Suspected Coronary Artery Disease".
Journal of magnetic resonance imaging : JMRI
Feb 21, 2023
Design and evaluation of vascular interventional robot system for complex coronary artery lesions.
Medical & biological engineering & computing
Jan 27, 2023
At present, most vascular intervention robots cannot cope with the more common coronary complex lesions in the clinic. Moreover, the lack of effective force feedback increases the risk of surgery. In this paper, a vascular interventional robot that c...
A Deep Learning Method for Motion Artifact Correction in Intravascular Photoacoustic Image Sequence.
IEEE transactions on medical imaging
Dec 29, 2022
In vivo application of intravascular photoacoustic (IVPA) imaging for coronary arteries is hampered by motion artifacts associated with the cardiac cycle. Gating is a common strategy to mitigate motion artifacts. However, a large amount of diagnostic...
Prediction of Coronary Artery Calcium Using Deep Learning of Echocardiograms.
Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
Dec 23, 2022
BACKGROUND: Coronary artery calcification (CAC), often assessed by computed tomography (CT), is a powerful marker of coronary artery disease that can guide preventive therapies. Computed tomographies, however, are not always accessible or serially ob...
Identification of Coronary Culprit Lesion in ST Elevation Myocardial Infarction by Using Deep Learning.
IEEE journal of translational engineering in health and medicine
Dec 8, 2022
OBJECTIVE: Early revascularization of the occluded coronary artery in patients with ST elevation myocardial infarction (STEMI) has been demonstrated to decrease mortality and morbidity. Currently, physicians rely on features of electrocardiograms (EC...
Opportunistic deep learning powered calcium scoring in oncologic patients with very high coronary artery calcium (≥ 1000) undergoing 18F-FDG PET/CT.
Scientific reports
Nov 10, 2022
Our aim was to identify and quantify high coronary artery calcium (CAC) with deep learning (DL)-powered CAC scoring (CACS) in oncological patients with known very high CAC (≥ 1000) undergoing 18F-FDG-PET/CT for re-/staging. 100 patients were enrolled...
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