Abstract #0017

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

Yong Chen^1,2, Zhenghan Fang^1,2, Dinggang Shen^1,2, and Weili Lin^1,2

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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