Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol.
Judith HerrmannGabriel KellerSebastian GassenmaierDominik NickelGregor KoerzdoerferMahmoud MostaphaHaidara AlmansourSaif AfatAhmed E OthmanPublished in: European radiology (2022)
• Deep-learning reconstructed TSE imaging is able to almost halve the acquisition time of a three-plane knee MRI with proton density and T1-weighted images, from 11:56 min to 6:11 min at 3 T. • Deep-learning reconstructed TSE imaging of the knee provided significant improvement of noise levels (p < 0.001), providing higher image quality (p < 0.05) compared to conventional TSE imaging. • Deep-learning reconstructed TSE imaging of the knee had similar diagnostic performance for internal derangement of the knee compared to standard TSE.
Keyphrases
- deep learning
- total knee arthroplasty
- high resolution
- contrast enhanced
- convolutional neural network
- artificial intelligence
- knee osteoarthritis
- magnetic resonance imaging
- machine learning
- anterior cruciate ligament
- image quality
- anterior cruciate ligament reconstruction
- mass spectrometry
- air pollution
- fluorescence imaging
- network analysis