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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