Abstract #1564

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

Yong Chen¹, Wei-Ching Lo^2,3, 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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