Deep Learning-Based High-Resolution Magnetic Resonance Angiography (MRA) Generation Model for 4D Time-Resolved Angiography with Interleaved Stochastic Trajectories (TWIST) MRA in Fast Stroke Imaging.
Bo Kyu KimSung-Hye YouByungjun KimJae Ho ShinPublished in: Diagnostics (Basel, Switzerland) (2024)
DNN reconstruction may improve the qualitative and quantitative image quality of 4D-TWIST-MRA, and also enhance diagnostic performance for intracranial aneurysm and large vessel occlusion.
Keyphrases
- contrast enhanced
- high resolution
- computed tomography
- image quality
- magnetic resonance
- optical coherence tomography
- deep learning
- magnetic resonance imaging
- dual energy
- epithelial mesenchymal transition
- atrial fibrillation
- mass spectrometry
- coronary artery
- depressive symptoms
- optic nerve
- high speed
- machine learning
- artificial intelligence
- convolutional neural network
- systematic review
- abdominal aortic aneurysm