AIMC Topic: Coronary Vessels
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Coronary artery calcium measurement on attenuation correction computed tomography using artificial intelligence: correlation with coronary flow capacity and prognosis.
European journal of nuclear medicine and molecular imaging
Oct 15, 2024
PURPOSE: This study aimed to test whether the coronary artery calcium (CAC) burden on attenuation correction computed tomography (CTac), measured using artificial intelligence (AI-CACac), correlates with coronary flow capacity (CFC) and prognosis.
Energy-integrating detector based ultra-high-resolution CT with deep learning reconstruction for the assessment of calcified lesions in coronary artery disease.
Journal of cardiovascular computed tomography
Oct 8, 2024
BACKGROUND: The aim of this study to compare of the image quality of calcified lesions in coronary artery disease between deep learning reconstruction (DLR) and model-based iterative reconstruction (MBIR) on energy-integrating detector (EID) based ul...
Vascular Calcification
Phantoms, Imaging
Computed Tomography Angiography
Middle Aged
Severity of Illness Index
Deep Learning
Predictive Value of Tests
Coronary Artery Disease
Coronary Vessels
Multidetector Computed Tomography
Female
Coronary Angiography
Reproducibility of Results
Radiographic Image Interpretation, Computer-Assisted
Humans
Aged
Male
Retrospective Studies
Artificial intelligence-enhanced detection of subclinical coronary artery disease in athletes: diagnostic performance and limitations.
The international journal of cardiovascular imaging
Oct 7, 2024
PURPOSE: This study evaluates the diagnostic performance of artificial intelligence (AI)-based coronary computed tomography angiography (CCTA) for detecting coronary artery disease (CAD) and assessing fractional flow reserve (FFR) in asymptomatic mal...
Artificial Intelligence
Prospective Studies
Reproducibility of Results
Aged
Humans
Coronary Angiography
Radiographic Image Interpretation, Computer-Assisted
Coronary Artery Disease
Running
Athletes
Male
Middle Aged
Severity of Illness Index
Predictive Value of Tests
Fractional Flow Reserve, Myocardial
Coronary Vessels
Asymptomatic Diseases
Computed Tomography Angiography
Coronary Stenosis
Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis.
Circulation. Cardiovascular imaging
Sep 30, 2024
BACKGROUND: Plaque quantification from coronary computed tomography angiography has emerged as a valuable predictor of cardiovascular risk. Deep learning can provide automated quantification of coronary plaque from computed tomography angiography. We...
Predicting coronary artery occlusion risk from noninvasive images by combining CFD-FSI, cGAN and CNN.
Scientific reports
Sep 30, 2024
Wall Shear Stress (WSS) is one of the most important parameters used in cardiovascular fluid mechanics, and it provides a lot of information like the risk level caused by any vascular occlusion. Since WSS cannot be measured directly and other availab...
AngioPy Segmentation: An open-source, user-guided deep learning tool for coronary artery segmentation.
International journal of cardiology
Sep 26, 2024
BACKGROUND: Quantitative coronary angiography (QCA) typically employs traditional edge detection algorithms that often require manual correction. This has important implications for the accuracy of downstream 3D coronary reconstructions and computed ...
Exploration of fractional flow reservation score based on artificial intelligence post-processing for coronary artery lesions in patients with diabetes and coronary heart disease.
SLAS technology
Sep 21, 2024
In order to evaluate the relationship between coronary heart disease (CHD) and fractional flow reservation (FFR) in patients with different levels of CHD and diabetes, this paper used AI (artificial intelligence) post-processing technology to detect ...
Effect of Deep Learning Image Reconstruction on Image Quality and Pericoronary Fat Attenuation Index.
Journal of imaging informatics in medicine
Sep 19, 2024
To compare the image quality and fat attenuation index (FAI) of coronary artery CT angiography (CCTA) under different tube voltages between deep learning image reconstruction (DLIR) and adaptive statistical iterative reconstruction V (ASIR-V). Three ...
Automated diagnosis of atherosclerosis using multi-layer ensemble models and bio-inspired optimization in intravascular ultrasound imaging.
Medical & biological engineering & computing
Sep 18, 2024
Atherosclerosis causes heart disease by forming plaques in arterial walls. IVUS imaging provides a high-resolution cross-sectional view of coronary arteries and plaque morphology. Healthcare professionals diagnose and quantify atherosclerosis physica...
Clinical impact of deep learning-derived intravascular ultrasound characteristics in patients with deferred coronary artery.
International journal of cardiology
Sep 13, 2024
Prognostic markers for long-term outcomes are lacking in patients with deferred (nonculprit) coronary artery lesions. This study aimed to identify the morphological criteria for predicting adverse outcomes and validate their clinical impact. Using de...
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