Feasibility and clinical usefulness of deep learning-accelerated MRI for acute painful fracture patients wearing a splint: A prospective comparative study.
Seunghyeon RohJae In ParkGun Young KimHye Jin YooDominik NickelGregor KoerzdoerferJaeKon SungJiseon OhHee Dong ChaeSung Hwan HongJa Young ChoiPublished in: PloS one (2023)
The DL-accelerated technique proved to be very helpful not only to reduce scan time but also to improve image quality for acute painful fracture patients wearing a splint despite using body array coils instead of a wrist-specific coil. Based on our study, the DL-accelerated technique can be very useful for MRI of any part of the extremities in trauma settings just with body array coils.
Keyphrases
- end stage renal disease
- ejection fraction
- chronic kidney disease
- deep learning
- newly diagnosed
- computed tomography
- magnetic resonance imaging
- image quality
- liver failure
- peritoneal dialysis
- machine learning
- drug induced
- magnetic resonance
- respiratory failure
- patient reported outcomes
- mass spectrometry
- artificial intelligence
- convolutional neural network
- mechanical ventilation