Background Deep learning (DL)–based MRI reconstructions can reduce examination times
for turbo spin-echo (TSE) acquisitions. Studies that prospectively employ DL-based …

Objective This prospective multicenter multireader study evaluated the performance of 40%
scan-time reduced spinal magnetic resonance imaging (MRI) reconstructed with deep …

Objectives To compare interobserver agreement and image quality of 3D T2-weighted fast
spin echo (T2w-FSE) L-spine MRI images processed with a deep learning reconstruction …

Magnetic Resonance Imaging (MRI) of the musculoskeletal system is one of the most
common examinations in clinical routine. The application of Deep Learning (DL) …

Background Lumbar spine MRI studies are widely used for back pain assessment.
Interpretation involves grading lumbar spinal stenosis, which is repetitive and time …

Background Three-dimensional (3D) fast spin-echo sequence with variable flip-angle
refocusing pulse allows retrospective alignments of magnetic resonance imaging (MRI) in …

Background and purpose Three-dimensional (3D) imaging of the spine, augmented with AI-
enabled image enhancement and denoising, has the potential to reduce imaging times …

Methods A systematic literature search was conducted in the PubMed and Web of Science
databases using the keywords “deep learning” and “spine”. Date ranges used to conduct the …

Purpose To evaluate two settings (noise reduction of 50% or 75%) of a deep learning (DL)
reconstruction model relative to each other and to conventional MR image reconstructions …

Purpose to evaluate diagnostic value and image quality of T2-weighted Three-dimensional
isotropic turbo spin-echo (SPACE) in comparison with T2-weighted two-dimensional turbo …