Accelerated Musculoskeletal Magnetic Resonance Imaging

Area of Science:

• Radiology and Imaging Science
• Medical Physics
• Biomedical Engineering

Background:

• Increasing use of musculoskeletal MRI necessitates improved workflow efficiency.
• Faster imaging is a key solution for optimizing MRI examination processes.

Purpose of the Study:

• To review basic principles and applications of accelerated musculoskeletal MRI techniques.
• To discuss conventional, deep learning-based, and novel methods for reducing MRI scan time.

Main Methods:

• Review of conventional acceleration methods: parallel imaging, compressed sensing, simultaneous multislice imaging.
• Discussion of deep learning-based techniques: undersampled reconstruction, super-resolution, artifact correction, synthetic contrast generation.
• Exploration of new approaches: synthetic MRI, novel sequences, advanced coil designs.

Main Results:

• Conventional and deep learning methods offer significant acceleration in MRI acquisition.
• Novel techniques like synthetic MRI and advanced coil designs show promise for further time reduction.
• Combined acceleration strategies can synergistically enhance scan time and workflow.

Conclusions:

• A thorough understanding of fast MRI techniques is crucial for clinical application.
• Strategic implementation of combined acceleration methods can optimize musculoskeletal MRI workflow.
• Advancements in accelerated MRI promise more efficient and effective patient examinations.