Machine learning-based prediction of insufficient contrast enhancement in coronary computed tomography angiography.
Ricardo R LopesT P W van den BoogertN H J LobeT A VerwestJ P S HenriquesH A MarqueringR Nils PlankenPublished in: European radiology (2022)
• Prediction of insufficient contrast enhancement in CT coronary angiography scans can be achieved using machine learning models. • The peak height of the test bolus curve is the most impacting feature for the best performing model.
Keyphrases
- machine learning
- contrast enhanced
- computed tomography
- coronary artery
- magnetic resonance
- image quality
- magnetic resonance imaging
- coronary artery disease
- body mass index
- deep learning
- artificial intelligence
- big data
- positron emission tomography
- heart failure
- physical activity
- atrial fibrillation
- aortic stenosis
- ejection fraction