Deep-learning based super-resolution for 3D isotropic coronary MR angiography in less than a minute.
Thomas KüstnerCamila MunozAlina PsenicnyAurélien BustinNiccolo FuinHaikun QiRadhouene NejiKarl KunzeReza HajhosseinyClaudia PrietoRené BotnarPublished in: Magnetic resonance in medicine (2021)
The proposed SR-CMRA provides a 16-fold increase in spatial resolution with comparable image quality to HR-CMRA while reducing the predictable scan time to <1 min.
Keyphrases
- image quality
- computed tomography
- deep learning
- contrast enhanced
- dual energy
- coronary artery disease
- coronary artery
- magnetic resonance imaging
- optical coherence tomography
- artificial intelligence
- convolutional neural network
- single molecule
- magnetic resonance
- machine learning
- aortic stenosis
- heart failure
- ejection fraction
- aortic valve
- atrial fibrillation
- left ventricular