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Abstract #0017

High-resolution 3D MR Fingerprinting using parallel imaging and deep learning

Yong Chen1,2, Zhenghan Fang1,2, Dinggang Shen1,2, and Weili Lin1,2

1Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 2Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

In this study, a high-resolution 3D MR Fingerprinting technique, combining parallel imaging and deep learning, was developed for rapid and simultaneous quantification of T1 and T2 relaxation times. Our preliminary results show that, with the integration of parallel imaging and deep learning techniques, whole-brain quantitative T1 and T2 mapping with 1-mm isotropic resolution can be achieved in ~6 min, which is feasible for routine clinical practice.

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