Abstract #1394

Three-fold accelerated MRI and MR angiography on Moyamoya disease examination using deep learning constrained Compressed SENSE reconstruction

Yajing Zhang¹, Jilei Zhang², Maoxue Wang³, Kun Wang³, Xiance Zhao², Peng Wu², Weibo Chen², Queenie Chan², Johannes M. Peeters⁴, Marc Van Cauteren⁵, and Bing Zhang³

¹BU-MR Clinical Science, Philips Healthcare, Suzhou, China, ²Philips Healthcare, Shanghai, China, ³Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China, ⁴BU-MR Clinical Science, Philips Healthcare, Best, Netherlands, ⁵BU-MR Clinical Science, Philips Healthcare, Tokyo, Japan

Synopsis

MR angiography (MRA) in moyamoya disease has been uniquely important in the evaluation of changes in vasculature and brain parenchyma, and clinical follow-up. In this work, we investigate the performance of accelerated MRA under a deep learning constrained Compressed SENSE reconstruction framework. Results on both volunteer and patients demonstrate a three-fold scan acceleration against the routine MRA with comparable image quality.

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