AIMC Topic: Coronary Angiography

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Machine learning and computational fluid dynamics derived FFRCT demonstrate comparable diagnostic performance in patients with coronary artery disease; A Systematic Review and Meta-Analysis.

Journal of cardiovascular computed tomography Feb 22, 2025
BACKGROUND: As a new noninvasive diagnostic technique, computed tomography-derived fraction flow reserve (FFRCT) has been used to identify hemodynamically significant coronary artery stenosis. FFRCT can be calculated using computational fluid dynamic...
Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Hydrodynamics Computed Tomography Angiography Models, Cardiovascular Coronary Artery Disease Coronary Vessels Humans Machine Learning Reproducibility of Results Coronary Stenosis Fractional Flow Reserve, Myocardial
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Automated Coronary Artery Segmentation with 3D PSPNET using Global Processing and Patch Based Methods on CCTA Images.

Cardiovascular engineering and technology Feb 20, 2025
The prevalence of coronary artery disease (CAD) has become the major cause of death across the world in recent years. The accurate segmentation of coronary artery is important in clinical diagnosis and treatment of coronary artery disease (CAD) such ...
Computed Tomography Angiography Reproducibility of Results Deep Learning Imaging, Three-Dimensional Predictive Value of Tests Coronary Artery Disease Coronary Vessels Plaque, Atherosclerotic Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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Deep learning based coronary vessels segmentation in X-ray angiography using temporal information.

Medical image analysis Feb 18, 2025
Invasive coronary angiography (ICA) is the gold standard imaging modality during cardiac interventions. Accurate segmentation of coronary vessels in ICA is required for aiding diagnosis and creating treatment plans. Current automated algorithms for v...
Coronary Vessels Deep Learning Imaging, Three-Dimensional Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans Algorithms
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PlaqueViT: a vision transformer model for fully automatic vessel and plaque segmentation in coronary computed tomography angiography.

European radiology Feb 5, 2025
OBJECTIVES: To develop and evaluate a deep learning model for segmentation of the coronary artery vessels and coronary plaques in coronary computed tomography angiography (CCTA).
Female Reproducibility of Results Aged Sensitivity and Specificity Male Humans Coronary Artery Disease Coronary Vessels Plaque, Atherosclerotic Computed Tomography Angiography Middle Aged Deep Learning Coronary Angiography Radiographic Image Interpretation, Computer-Assisted
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High-resolution deep learning reconstruction for coronary CTA: compared efficacy of stenosis evaluation with other methods at in vitro and in vivo studies.

European radiology Feb 4, 2025
OBJECTIVE: To directly compare coronary arterial stenosis evaluations by hybrid-type iterative reconstruction (IR), model-based IR (MBIR), deep learning reconstruction (DLR), and high-resolution deep learning reconstruction (HR-DLR) on coronary compu...
Radiographic Image Interpretation, Computer-Assisted Phantoms, Imaging Computed Tomography Angiography Coronary Stenosis Humans Retrospective Studies Female Reproducibility of Results Middle Aged Deep Learning Coronary Angiography Aged Male
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Prediction of obstructive coronary artery disease using coronary calcification and epicardial adipose tissue assessments from CT calcium scoring scans.

Journal of cardiovascular computed tomography Feb 4, 2025
BACKGROUND: Low-cost/no-cost non-contrast CT calcium scoring (CTCS) exams can provide direct evidence of coronary atherosclerosis. In this study, using features from CTCS images, we developed a novel machine learning model to predict obstructive coro...
Pericardium Epicardial Adipose Tissue Risk Factors Coronary Artery Disease Aged Coronary Vessels Vascular Calcification Decision Support Techniques Male Humans Adipose Tissue Computed Tomography Angiography Middle Aged Prognosis Machine Learning Female Predictive Value of Tests Coronary Angiography Reproducibility of Results Risk Assessment Severity of Illness Index
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Ultra-low-dose coronary CT angiography via super-resolution deep learning reconstruction: impact on image quality, coronary plaque, and stenosis analysis.

European radiology Feb 1, 2025
OBJECTIVES: To exploit the capability of super-resolution deep learning reconstruction (SR-DLR) to save radiation exposure from coronary CT angiography (CCTA) and assess its impact on image quality, coronary plaque quantification and characterization...
Humans Prospective Studies Female Aged Male Coronary Artery Disease Radiation Dosage Plaque, Atherosclerotic Computed Tomography Angiography Coronary Stenosis Middle Aged Deep Learning Coronary Angiography Radiographic Image Interpretation, Computer-Assisted
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A continuous-action deep reinforcement learning-based agent for coronary artery centerline extraction in coronary CT angiography images.

Medical & biological engineering & computing Jan 31, 2025
The lumen centerline of the coronary artery allows vessel reconstruction used to detect stenoses and plaques. Discrete-action-based centerline extraction methods suffer from artifacts and plaques. This study aimed to develop a continuous-action-based...
Image Processing, Computer-Assisted Coronary Angiography Coronary Artery Disease Artifacts Humans Algorithms Deep Learning Coronary Vessels Computed Tomography Angiography Reinforcement Machine Learning
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Enhancing quantitative coronary angiography (QCA) with advanced artificial intelligence: comparison with manual QCA and visual estimation.

The international journal of cardiovascular imaging Jan 29, 2025
Artificial intelligence-based quantitative coronary angiography (AI-QCA) was introduced to address manual QCA's limitations in reproducibility and correction process. The present study aimed to assess the performance of an updated AI-QCA solution (MP...
Severity of Illness Index Reproducibility of Results Humans Predictive Value of Tests Aged Coronary Artery Disease Coronary Stenosis Artificial Intelligence Male Coronary Angiography Coronary Vessels Retrospective Studies Middle Aged Radiographic Image Interpretation, Computer-Assisted Female
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Application of deep learning in automated localization and interpretation of coronary artery calcification in oncological PET/CT scans.

The international journal of cardiovascular imaging Jan 13, 2025
Coronary artery calcification (CAC) is a key marker of coronary artery disease (CAD) but is often underreported in cancer patients undergoing non-gated CT or PET/CT scans. Traditional CAC assessment requires gated CT scans, leading to increased radia...
Middle Aged Neoplasms Deep Learning Predictive Value of Tests Humans Female Automation Coronary Angiography Retrospective Studies Reproducibility of Results Coronary Vessels Positron Emission Tomography Computed Tomography Aged Vascular Calcification Radiographic Image Interpretation, Computer-Assisted Male Coronary Artery Disease
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