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
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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