Inter-observer agreement and image quality of model-based algorithm applied to the Coronary Artery Disease-Reporting and Data System score.
Davide IppolitoCammillo Talei FranzesiCecilia CangiottiLuca RivaAndrea De VitoDavide GandolaCesare MainoPaolo MarraGiuseppe MuscogiuriSandro SironiPublished in: Insights into imaging (2022)
MBIR, by reducing noise and improving image quality, can help a better assessment of CAD-RADS, in comparison with standard IR algorithm.
Keyphrases
- image quality
- coronary artery disease
- machine learning
- computed tomography
- deep learning
- percutaneous coronary intervention
- cardiovascular events
- dual energy
- coronary artery bypass grafting
- big data
- electronic health record
- neural network
- adverse drug
- aortic stenosis
- magnetic resonance imaging
- acute coronary syndrome
- clinical evaluation
- atrial fibrillation
- magnetic resonance
- transcatheter aortic valve replacement