High-resolution MR neurography of the wrist with diffusion-sensitized driven-equilibrium with deep learning constrained Compressed SENSE

Motivation: The median and ulnar nerves are fine anatomical structures, and these small nerves could not be adequately visualized on conventional MR neurography. Goal(s): The purpose of this study is to realize high-resolution MR neurography for the diagnosis of peripheral neuropathy of the median and ulnar nerves. Approach: We performed visualization of the detailed anatomy of the median and ulnar nerves by high-resolution diffusion sensitized-driven equilibrium (DSDE) with deep learning constrained Compressed SENSE (CS-AI) with deep learning constrained Compressed SENSE (CS-AI). Results: MR neurography with DSDE with CS-AI could clearly visualize the median and ulnar nerves at high resolution within a feasible scan time. Impact: High-resolution MR neurography with DSDE with CS-AI clearly visualizes the entire median and ulnar nerves, including the small common palmar digital nerves. This may be a useful technique in the diagnosis of peripheral neuropathy of the wrist.