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
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. Simultaneous T1 and T2 tissue mapping can
be achieved in ~ 0.7 sec per slice, which enables rapid volumetric quantitative
imaging using MRF.
Figure 1.
Workflow for both 2D MRF and proposed 3D MRF reconstruction.
Table
1.
Post-processing times for each step during 3D MRF reconstruction (seconds). The
times for SVD, NUFFT, coil combination and pattern matching are
presented for one slice.