Accelerated 3D whole-heart non-contrast-enhanced mDIXON coronary MR angiography using deep learning-constrained compressed sensing reconstruction.
Xi WuXun YuePengfei PengXianzheng TanFeng HuangLei CaiLei LiShuai HeXiaoyong ZhangPeng LiuJiayu SunPublished in: Insights into imaging (2024)
Current coronary MRA techniques are limited by scan time and the need for noise reduction. DL-CS reduced the scan time in coronary MR angiography. Deep learning achieved the highest image quality among the three methods. Deep learning-based coronary MR angiography demonstrated high performance compared to CT angiography.
Keyphrases
- contrast enhanced
- computed tomography
- deep learning
- image quality
- diffusion weighted
- coronary artery disease
- coronary artery
- magnetic resonance imaging
- dual energy
- optical coherence tomography
- magnetic resonance
- diffusion weighted imaging
- artificial intelligence
- convolutional neural network
- heart failure
- aortic stenosis
- air pollution