Abstract #4533

Accelerated brachial Plexus MRI using deep learning constrained compressed SENSE reconstruction

Yi Xiao¹, Sixian Hu¹, Chunchao Xia¹, Zhenlin Li¹, Xiaoyong Zhang², and Chuntang Ling³

¹Radiology, West China Hospital Of Sichuan University, Chengdu, China, ²Clinical Science, Philips Healthcare, Chengdu, China, ³Application, Philips Healthcare, Chongqing, China

Synopsis

This study presents an accelerated brachial Plexus MR imaging technique using deep learning constrained compressed SENSE reconstruction (CS-AI-SENSE). The results showed that CS-AI-SENSE could enable comparable diagnostic image quality to the conventional SENSE-accelerated 3D T2-TSE approaches while significantly reduced the data acquisition time, which has potential to enhance the workflow of brachial Plexus MR examinations in clinics.

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