Accelerated Musculoskeletal Magnetic Resonance Imaging

Abstract

With a substantial growth in the use of musculoskeletal MRI, there has been a growing need to improve MRI workflow, and faster imaging has been suggested as one of the solutions for a more efficient examination process. Consequently, there have been considerable advances in accelerated MRI scanning methods. This article aims to review the basic principles and applications of accelerated musculoskeletal MRI techniques including widely used conventional acceleration methods, more advanced deep learning‐based techniques, and new approaches to reduce scan time. Specifically, conventional accelerated MRI techniques, including parallel imaging, compressed sensing, and simultaneous multislice imaging, and deep learning‐based accelerated MRI techniques, including undersampled MR image reconstruction, super‐resolution imaging, artifact correction, and generation of unacquired contrast images, are discussed. Finally, new approaches to reduce scan time, including synthetic MRI, novel sequences, and new coil setups and designs, are also reviewed. We believe that a deep understanding of these fast MRI techniques and proper use of combined acceleration methods will synergistically improve scan time and MRI workflow in daily practice.Evidence Level3Technical EfficacyStage 1

Validation and Feasibility of Ultrafast Cervical Spine MRI Using a Deep Learning-Assisted 3D Iterative Image Enhancement System

“… 18 Applications of these raw-data-free methods in musculoskeletal MRI are emerging. 19 Importantly, these image enhancement approaches are independent of the existing acceleration techniques like parallel imaging and compressed sensing, and could in principle integrate with them. 20 Strategies of ultrafast acquisition for spine imaging under 2 minutes, with the cooperation of DL reconstruction, have already emerged.…”