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Cardiac-Gated Imaging Techniques

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Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks.

Medical image analysis 30471464
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...
Algorithms Artifacts Cardiac-Gated Imaging Techniques Computed Tomography Angiography Coronary Angiography Humans Motion Neural Networks, Computer Software Supervised Machine 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 31299452
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...
Artifacts Cardiac-Gated Imaging Techniques Computed Tomography Angiography Coronary Angiography Humans Imaging, Three-Dimensional Motion Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Software
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Impact of Knowledge-Based Iterative Model Reconstruction on Image Quality and Hemodynamic Parameters in Dynamic Myocardial Computed Tomography Perfusion Using Low-Tube-Voltage Scan: A Feasibility Study.

Journal of computer assisted tomography 31453979
OBJECTIVE: Knowledge-based iterative model reconstruction (IMR) yields diagnostically acceptable image quality in low-dose static computed tomography (CT). We aimed to evaluate the feasibility of IMR in dynamic myocardial computed tomography perfusio...
Aged Algorithms Cardiac-Gated Imaging Techniques Computed Tomography Angiography Contrast Media Coronary Angiography Coronary Artery Disease Exercise Test Feasibility Studies Female Hemodynamics Humans Iopamidol Knowledge Bases Male Middle Aged Multidetector Computed Tomography Radiographic Image Interpretation, Computer-Assisted Retrospective Studies
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Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm.

JACC. Cardiovascular imaging 31734200
Aged Automation Cardiac-Gated Imaging Techniques Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Coronary Vessels Deep Learning Diagnosis, Computer-Assisted Electrocardiography Female Humans Male Middle Aged Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Retrospective Studies Severity of Illness Index Software Vascular Calcification
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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) 33423530
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).
Adult Aged Aged, 80 and over Cardiac-Gated Imaging Techniques Computed Tomography Angiography Coronary Stenosis Deep Learning Female Fractional Flow Reserve, Myocardial Humans Male Middle Aged Predictive Value of Tests Retrospective Studies Sensitivity and Specificity
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Fully Automated Agatston Score Calculation From Electrocardiography-Gated Cardiac Computed Tomography Using Deep Learning and Multi-Organ Segmentation: A Validation Study.

Angiology 38166442
To evaluate deep learning-based calcium segmentation and quantification on ECG-gated cardiac CT scans compared with manual evaluation. Automated calcium quantification was performed using a neural network based on mask regions with convolutional neur...
Aged Cardiac-Gated Imaging Techniques Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Deep Learning Electrocardiography Female Humans Male Middle Aged Neural Networks, Computer Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Retrospective Studies Tomography, X-Ray Computed Vascular Calcification
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Gated cardiac CT in infants: What can we expect from deep learning image reconstruction algorithm?

Journal of cardiovascular computed tomography 38480035
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.
Age Factors Cardiac-Gated Imaging Techniques Computed Tomography Angiography Coronary Angiography Deep Learning Electrocardiography Heart Defects, Congenital Humans Infant Phantoms, Imaging Predictive Value of Tests Radiation Dosage Radiation Exposure Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results
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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 38722507
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...
Aged Cardiac-Gated Imaging Techniques Computed Tomography Angiography Contrast Media Coronary Angiography Coronary Artery Disease Coronary Vessels Deep Learning Electrocardiography Female Heart Rate Humans Male Middle Aged Multidetector Computed Tomography Predictive Value of Tests Prospective Studies Radiation Dosage Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results
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Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes.

The international journal of cardiovascular imaging 38700819
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 ...
Artificial Intelligence Cardiac-Gated Imaging Techniques Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Coronary Vessels Deep Learning Humans Predictive Value of Tests Prognosis Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Severity of Illness Index Vascular Calcification
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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 39680296
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...
Aged Artificial Intelligence Cardiac-Gated Imaging Techniques Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Coronary Vessels Electrocardiography Female Humans Male Middle Aged Multidetector Computed Tomography Observer Variation Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Radiologists Reproducibility of Results Retrospective Studies Severity of Illness Index Time Factors Vascular Calcification Workflow
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