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Abstract #0096

A Flexible Technique for Flow-Sensitive Fat-Suppressed High-Resolution Peripheral Nerve Imaging

Valentina Taviani1, Miyoshi Mitsuharu2, Kang Wang3, Kevin King4, Suchandrima Banerjee1, Sandip Biswal5, Shreyas Vasanawala5, Daehyun Yoon5, and Robert Peters4

1Global MR Applications & Workflow, GE Healthcare, Menlo Park, CA, United States, 2Global MR Applications & Workflow, GE Healthcare Japan, Hino, Japan, 3Global MR Applications & Workflow, GE Healthcare, Madison, WI, United States, 4Global MR Applications & Workflow, GE Healthcare, Waukesha, WI, United States, 5Department of Radiology, Stanford University, Stanford, CA, United States

We developed a flow-sensitive 3D fast spin echo pulse sequence with Dixon-based water-fat separation and compressed sensing for robust and efficient peripheral nerve imaging. Outer volume suppression allows shorter scan times by limiting spatial encoding of the FOV to the anatomy of interest without aliasing concerns. In addition, it improves the performance of spectrally-selective fat suppression methods, that can be advantageous for very high resolution imaging but are typically hampered by B0 inhomogeneity, by allowing shimming over smaller regions. Preliminary data showed good delineation of peripheral nerves in different anatomies, with adequate resolution and clinically feasible acquisiton times.

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