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Abstract #3741

ST-UNet: Spatio-Temporal U-Net for Accelerating Simultaneous MultiSlice Magnetic Resonance Fingerprinting

Yilin Liu1, Xiaopeng Zong1, Zhenghan Fang1, Weili Lin1, Dinggang Shen1, Pew-Thian Yap1, and Yong Chen1
1University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

In this study, a spatio-temporal U-Net was developed for efficient and accurate T1 and T2 quantifications from multislice MR Fingerprinting acquisitions. Our preliminary results demonstrate that the proposed method outperforms the standard template matching method and deep learning methods in the literature, enabling higher multislice factors for MR Fingerprinting.

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