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Abstract #0374

Clinical Feasibility Study of an Accelerated 3D Intracranial Magnetic Resonance Angiography Using Compressed-Sensing Algorithm

Zhiyong Lin1, Xiaodong Zhang1, Ke Wang1, Yuan Jiang1, Xiaoyu Hu1, Yong Huang1, Shuai Ma1, Yi Liu1, Lina Zhu1, Zhizheng Zhuo2, Jing Liu1, and Xiaoying Wang1

1Department of Radiology, Peking University First Hospital, Beijing, China, 2Philips Healthcare, Beijing, China

Accelerated 3D intracranial magnetic resonance angiography(MRA) using Compressed-Sensing algorithm could be clinically valuable not only for improving the image quality and having almost the same diagnostic performance compared to conventional intracranial MRA, but also for reducing the scanning time which could improve the overall workflow of MRA imaging. It is a feasible protocol in intracranial MRA imaging.

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