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Abstract #1564

Rapid 3D MR Fingerprinting reconstruction using a GPU-based framework

Yong Chen1, Wei-Ching Lo2,3, Andrew Dupuis2, Rasim Boyacioglu1, Michael Hansen4, and Mark Griswold1
1Radiology, Case Western Reserve University, Cleveland, OH, United States, 2Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 3Siemens Medical Solutions, Boston, MA, United States, 4Health Futures, Microsoft Research, Seattle, WA, United States

In this study, we proposed an efficient online map reconstruction framework for 3D MRF using a GPU-based reconstruction. Both SVD compression and 2D NUFFT were performed mostly during data acquisition and GPU computation was further implemented to accelerate coil combination and pattern matching. Our simulation results demonstrated that 1) accurate T1 and T2 mapping was obtained with the proposed method and 2) rapid MRF tissue mapping can be achieved in ~ 0.7 sec per slice, which enables rapid volumetric quantitative imaging using MRF.

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