AIMC Topic: Cardiac-Gated Imaging Techniques

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Artificial intelligence-derived coronary artery calcium scoring saves time and achieves close to radiologist-level accuracy accuracy on routine ECG-gated CT.

The international journal of cardiovascular imaging Dec 16, 2024
Artificial Intelligence (AI) has been proposed to improve workflow for coronary artery calcium scoring (CACS), but simultaneous demonstration of improved efficiency, accuracy, and clinical stability have not been demonstrated. 148 sequential patients...
Middle Aged Severity of Illness Index Time Factors Electrocardiography Predictive Value of Tests Retrospective Studies Female Reproducibility of Results Aged Male Observer Variation Coronary Vessels Multidetector Computed Tomography Vascular Calcification Computed Tomography Angiography Cardiac-Gated Imaging Techniques Coronary Angiography Radiologists Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Workflow Humans Artificial Intelligence
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Evaluation of image quality on low contrast media with deep learning image reconstruction algorithm in prospective ECG-triggering coronary CT angiography.

The international journal of cardiovascular imaging May 9, 2024
To assess the impact of low-dose contrast media (CM) injection protocol with deep learning image reconstruction (DLIR) algorithm on image quality in coronary CT angiography (CCTA). In this prospective study, patients underwent CCTA were prospectively...
Prospective Studies Female Reproducibility of Results Aged Male Humans Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Heart Rate Coronary Vessels Middle Aged Deep Learning Electrocardiography Contrast Media Predictive Value of Tests Radiation Dosage Multidetector Computed Tomography Computed Tomography Angiography Cardiac-Gated Imaging Techniques
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Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes.

The international journal of cardiovascular imaging May 3, 2024
Almost 35 years after its introduction, coronary artery calcium score (CACS) not only survived technological advances but became one of the cornerstones of contemporary cardiovascular imaging. Its simplicity and quantitative nature established it as ...
Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Artificial Intelligence Vascular Calcification Prognosis Computed Tomography Angiography Reproducibility of Results Humans Cardiac-Gated Imaging Techniques Severity of Illness Index Deep Learning
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Gated cardiac CT in infants: What can we expect from deep learning image reconstruction algorithm?

Journal of cardiovascular computed tomography Mar 12, 2024
BACKGROUND: ECG-gated cardiac CT is now widely used in infants with congenital heart disease (CHD). Deep Learning Image Reconstruction (DLIR) could improve image quality while minimizing the radiation dose.
Phantoms, Imaging Computed Tomography Angiography Radiation Exposure Cardiac-Gated Imaging Techniques Reproducibility of Results Infant Deep Learning Electrocardiography Age Factors Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Heart Defects, Congenital Humans
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Additional value of deep learning computed tomographic angiography-based fractional flow reserve in detecting coronary stenosis and predicting outcomes.

Acta radiologica (Stockholm, Sweden : 1987) Jan 10, 2021
BACKGROUND: Deep learning (DL) has achieved great success in medical imaging and could be utilized for the non-invasive calculation of fractional flow reserve (FFR) from coronary computed tomographic angiography (CCTA) (CT-FFR).
Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Cardiac-Gated Imaging Techniques Aged Sensitivity and Specificity Aged, 80 and over Male Adult Middle Aged Humans Deep Learning Retrospective Studies Predictive Value of Tests Female
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Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm.

JACC. Cardiovascular imaging Nov 13, 2019
Humans Software Retrospective Studies Female Reproducibility of Results Aged Automation Coronary Vessels Vascular Calcification Computed Tomography Angiography Cardiac-Gated Imaging Techniques Electrocardiography Predictive Value of Tests Male Coronary Angiography Middle Aged Radiographic Image Interpretation, Computer-Assisted Severity of Illness Index Coronary Artery Disease Diagnosis, Computer-Assisted Deep Learning
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Motion estimation and correction in cardiac CT angiography images using convolutional neural networks.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 14, 2019
Cardiac motion artifacts frequently reduce the interpretability of coronary computed tomography angiography (CCTA) images and potentially lead to misinterpretations or preclude the diagnosis of coronary artery disease (CAD). In this paper, a novel mo...
Motion Artifacts Computed Tomography Angiography Cardiac-Gated Imaging Techniques Neural Networks, Computer Humans Software Imaging, Three-Dimensional Coronary Angiography Radiographic Image Interpretation, Computer-Assisted
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Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks.

Medical image analysis Nov 15, 2018
Excellent image quality is a primary prerequisite for diagnostic non-invasive coronary CT angiography. Artifacts due to cardiac motion may interfere with detection and diagnosis of coronary artery disease and render subsequent treatment decisions mor...
Motion Artifacts Computed Tomography Angiography Cardiac-Gated Imaging Techniques Neural Networks, Computer Software Algorithms Coronary Angiography Humans Supervised Machine Learning
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Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning-proof of concept in congenital heart disease.

Magnetic resonance in medicine Sep 8, 2018
PURPOSE: Real-time assessment of ventricular volumes requires high acceleration factors. Residual convolutional neural networks (CNN) have shown potential for removing artifacts caused by data undersampling. In this study, we investigated the ability...
Male Heart Humans Middle Aged Fourier Analysis Image Interpretation, Computer-Assisted Deep Learning Artifacts Algorithms Breath Holding Adolescent Respiration Retrospective Studies Magnetic Resonance Imaging, Cine Image Processing, Computer-Assisted Heart Defects, Congenital Young Adult Cardiac-Gated Imaging Techniques Adult
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Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis.

Medical image analysis Nov 26, 2017
In patients with coronary artery stenoses of intermediate severity, the functional significance needs to be determined. Fractional flow reserve (FFR) measurement, performed during invasive coronary angiography (ICA), is most often used in clinical pr...
Heart Ventricles Male Humans Iohexol Middle Aged Algorithms Computed Tomography Angiography Deep Learning Female Coronary Stenosis Contrast Media Reproducibility of Results Cardiac-Gated Imaging Techniques Coronary Angiography Sensitivity and Specificity
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