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Abstract #3374

Noise Reduction and Ghosting Alleviation in ASL Perfusion Measurement using Multi-dimensional Integration (MDI)

Yichen Hu1, Qing Wei2, Zhongyang Zhou2, Jun Xie2, and Yongquan Ye1
1UIH America, Inc., Houston, TX, United States, 2United Imaging Healthcare, Shanghai, China

3D GRASE (GRAdient and Spin Echo) pulse sequence has been widely employed as the readout in arterial spin labeling (ASL) applications, given its efficient acquisition and relatively long lasting signal intensities. However, the inherent weakness of GRASE, such as vulnerability to motions, can induce ghosting artifacts to perfusion imaging and quantitative cerebral blood perfusion (CBF) maps. Herein, we propose applying the Multi-Dimensional Integration (MDI) algorithm to processing the perfusion and CBF maps, by which method noticeable alleviation of motion ghosting can be obtained, and the imaging noise is reduced as well.

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