Improvement in Image Quality and Visibility of Coronary Arteries, Stents, and Valve Structures on CT Angiography by Deep Learning Reconstruction.
Chuluunbaatar OtgonbaatarJae-Kyun RyuJaemin ShinJi Young WooJung Wook SeoHackjoon ShimDae Hyun HwangPublished in: Korean journal of radiology (2022)
DLR reconstruction provided better images than FBP and hybrid IR reconstruction.
Keyphrases
- deep learning
- image quality
- convolutional neural network
- coronary artery disease
- coronary artery
- computed tomography
- aortic valve
- mitral valve
- aortic stenosis
- machine learning
- optical coherence tomography
- magnetic resonance
- magnetic resonance imaging
- transcatheter aortic valve replacement
- dual energy
- ejection fraction