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
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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