ArticleDiagnostics (Basel, Switzerland)2021
Feasibility and Implementation of a Deep Learning MR Reconstruction for TSE Sequences in Musculoskeletal Imaging.
Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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46 citing papers in PubMed.
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- Quantification of edge-enhancing effects using accelerated deep learning reconstructed orbital MRI sequences.European journal of radiology open · 2026Article
- Utility of breath-hold half-Fourier single-shot turbo spin-echo with deep learning-based reconstruction for acquiring fat-suppressed T2-weighted images of the pancreas.European journal of radiology open · 2026Article
- How deep resolve affects the stability of texture features for different MR image acceleration methods - a phantom and a human brain study.BMC medical imaging · 2026Article
- Optimizing high-resolution knee MRI at 3 tesla: conventional acceleration versus deep learning reconstruction.BMC medical imaging · 2026Article
- Real-world diagnostic performance of knee MRI protocols accelerated using simultaneous multi-slice acquisition and deep learning reconstruction.Skeletal radiology · 2026Article
- Liver fat quantification at 0.55 T enabled by locally low-rank enforced deep learning reconstruction.Magnetic resonance in medicine · 2026Article
- Enhanced muscle MRI using deep learning: shorter acquisition time with improved image quality.PeerJ · 2026Article
- Deep learning-based acceleration and denoising of 0.55T MRI for enhanced conspicuity of vestibular Schwannoma post contrast administration.Neuroradiology · 2025Article
- Deep Learning-Based Image Reconstruction in Musculoskeletal MRI.Journal of the Korean Society of Radiology · 2025Review
- Application of Deep Learning Accelerated Image Reconstruction in T2-Weighted Turbo Spin-Echo Imaging of the Brain at 7T.AJNR. American journal of neuroradiology · 2025Article
- Enhancing Hippocampal Subfield Visualization Through Deep Learning Reconstructed MRI Scans.Diagnostics (Basel, Switzerland) · 2025Article
- Enhancing Lesion Detection in Inflammatory Myelopathies: A Deep Learning-Reconstructed Double Inversion Recovery MRI Approach.AJNR. American journal of neuroradiology · 2025Observational
- Development of a carrier device for dental-dedicated magnetic resonance imaging.Imaging science in dentistry · 2025Article
- Recent topics in musculoskeletal imaging focused on clinical applications of AI: How should radiologists approach and use AI?La Radiologia medica · 2025Review
- Deep learning MR reconstruction in knees and ankles in children and young adults. Is it ready for clinical use?Skeletal radiology · 2025Article
- Deep Learning-Enhanced Accelerated 2D TSE and 3D Superresolution Dixon TSE for Rapid Comprehensive Knee Joint Assessment.Investigative radiology · 2025Article
- Optimizing hip MRI: enhancing image quality and elevating inter-observer consistency using deep learning-powered reconstruction.BMC medical imaging · 2025Article
- The value of Fast Dixon combined with deep learning technology in contrast agent-free high-resolution magnetic resonance imaging of the brachial plexus.Frontiers in neurology · 2025Article
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Abstract
Magnetic Resonance Imaging (MRI) of the musculoskeletal system is one of the most common examinations in clinical routine. The application of Deep Learning (DL) reconstruction for MRI is increasingly gaining attention due to its potential to improve the image quality and reduce the acquisition time simultaneously. However, the technology has not yet been implemented in clinical routine for turbo spin echo (TSE) sequences in musculoskeletal imaging. The aim of this study was therefore to assess the technical feasibility and evaluate the image quality. Sixty examinations of knee, hip, ankle, shoulder, hand, and lumbar spine in healthy volunteers at 3 T were included in this prospective, internal-review-board-approved study. Conventional (TSE
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