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Abstract #3021

3D NerveView Neurography of the lumbosacral plexus with a deep learning constrained Compressed SENSE Reconstruction

Caijuan Zhang1, Dong Dong1, Shiyu Guo1, Lishan Wu1, Yi Zhu2, and Ke Jiang2
1Radiology, First Hospital of Jilin University, changchun, China, 2Philips Heathcare, Beijing, China

Synopsis

High resolution three dimensional (3D) sequences of MR Neurography always takes a very long scan time. However, using very high acceleration factors leads to 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 3D NerveView imaging of lumbosacral plexus. The result showed that CS-AI reconstruction can significantly decrease scan time with sufficient image quality compared to Compressed SENSE(CS) and might be clinically useful in assessment of lumbosacral plexus.

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