Three-dimensional (3D) T2 Fast Field Echo (FFE) sequence of MR Neurography always takes a very long scan time. However, using very high acceleration factors (AF) will result in degradation of image quality due to insufficient noise removal. In this study, we used Compressed-SENSE Artificial Intelligence (CS-AI) framework to acquire highly accelerated T2 FFE imaging in lumbosacral plexus. The results showed that CS-AI reconstruction might significantly decrease scan time with sufficient image quality compared with conventional SENSE, and might be clinically useful for assessment of lumbosacral plexus.
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