AIMC Topic: Coronary Vessels

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Ischemia and outcome prediction by cardiac CT based machine learning.

The international journal of cardiovascular imaging Jul 4, 2020
Cardiac CT using non-enhanced coronary artery calcium scoring (CACS) and coronary CT angiography (cCTA) has been proven to provide excellent evaluation of coronary artery disease (CAD) combining anatomical and morphological assessment of CAD for card...
Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Heart Disease Risk Factors Coronary Vessels Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Reproducibility of Results Risk Assessment Severity of Illness Index Humans Predictive Value of Tests Machine Learning Prognosis
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From CT to artificial intelligence for complex assessment of plaque-associated risk.

The international journal of cardiovascular imaging Jul 2, 2020
The recent technological developments in the field of cardiac imaging have established coronary computed tomography angiography (CCTA) as a first-line diagnostic tool in patients with suspected coronary artery disease (CAD). CCTA offers robust inform...
Risk Assessment Severity of Illness Index Predictive Value of Tests Coronary Angiography Humans Machine Learning Prognosis Reproducibility of Results Rupture, Spontaneous Radiographic Image Interpretation, Computer-Assisted Plaque, Atherosclerotic Coronary Artery Disease Computed Tomography Angiography Heart Disease Risk Factors Coronary Stenosis Coronary Vessels
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Deep learning for automated exclusion of cardiac CT examinations negative for coronary artery calcium.

European journal of radiology Jun 3, 2020
PURPOSE: Coronary artery calcium (CAC) score has shown to be an accurate predictor of future cardiovascular events. Early detection by CAC scoring might reduce the number of deaths by cardiovascular disease (CVD). Automatically excluding scans which ...
Humans Tomography, X-Ray Computed Female Deep Learning Calcinosis Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Risk Factors Aged Male Middle Aged Coronary Vessels
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Artificial Intelligence in Intracoronary Imaging.

Current cardiology reports May 29, 2020
PURPOSE OF REVIEW: This paper investigates present uses and future potential of artificial intelligence (AI) applied to intracoronary imaging technologies.
Machine Learning Algorithms Deep Learning Tomography, Optical Coherence Ultrasonography, Interventional Coronary Vessels Humans Artificial Intelligence
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Supervised machine learning for coronary artery lumen segmentation in intravascular ultrasound images.

International journal for numerical methods in biomedical engineering May 19, 2020
Intravascular ultrasound (IVUS) has been widely used to capture cross sectional lumen frames of inner wall of coronary arteries. This kind of medical imaging modalities is capable of providing detailed and significant information of lumen contour sha...
Coronary Vessels Cross-Sectional Studies Ultrasonography Ultrasonography, Interventional Supervised Machine Learning Humans Algorithms
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Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning.

PloS one May 6, 2020
OBJECTIVES: To develop, demonstrate and evaluate an automated deep learning method for multiple cardiovascular structure segmentation.
Heart Ventricles Heart Atria Coronary Vessels Humans Computed Tomography Angiography Male Female Middle Aged Aged Deep Learning Heart
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A multi-scale variational neural network for accelerating motion-compensated whole-heart 3D coronary MR angiography.

Magnetic resonance imaging Apr 27, 2020
PURPOSE: To enable fast reconstruction of undersampled motion-compensated whole-heart 3D coronary magnetic resonance angiography (CMRA) by learning a multi-scale variational neural network (MS-VNN) which allows the acquisition of high-quality 1.2 × 1...
Humans Magnetic Resonance Angiography Coronary Angiography Reproducibility of Results Movement Heart Neural Networks, Computer Adult Coronary Vessels Male Female Respiration Imaging, Three-Dimensional
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The impact of iterative reconstruction algorithms on machine learning-based coronary CT angiography-derived fractional flow reserve (CT-FFR) values.

The international journal of cardiovascular imaging Mar 4, 2020
To evaluate the impact of an iterative reconstruction (IR) algorithm (advanced modeled iterative reconstruction, ADMIRE) on machine learning-based coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) measurements compared...
Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Coronary Vessels Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography Female Humans Reproducibility of Results Machine Learning Aged Retrospective Studies Male
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Accelerated coronary MRI with sRAKI: A database-free self-consistent neural network k-space reconstruction for arbitrary undersampling.

PloS one Feb 21, 2020
PURPOSE: To accelerate coronary MRI acquisitions with arbitrary undersampling patterns by using a novel reconstruction algorithm that applies coil self-consistency using subject-specific neural networks.
Image Processing, Computer-Assisted Humans Retrospective Studies Coronary Vessels Follow-Up Studies Neural Networks, Computer Magnetic Resonance Imaging Female Algorithms Heart Adult Prospective Studies Male
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Effects of Deep Learning Reconstruction Technique in High-Resolution Non-contrast Magnetic Resonance Coronary Angiography at a 3-Tesla Machine.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Feb 19, 2020
PURPOSE: To evaluate the effects of deep learning reconstruction (DLR) in qualitative and quantitative image quality of non-contrast magnetic resonance coronary angiography (MRCA).
Coronary Vessels Magnetic Resonance Angiography Humans Deep Learning Female Image Processing, Computer-Assisted Young Adult Coronary Angiography Adult Reference Values Male Middle Aged
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