Yunsong Liu1, Kawin Setsompop2, and Justin P. Haldar1
1Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, United States, 2Department of Radiology, Stanford University, Stanford, CA, United States
1Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, United States, 2Department of Radiology, Stanford University, Stanford, CA, United States
We investigate whether smooth-phase constraints can be used
to reduce the required number of RF encodings in gSlider diffusion MRI. Theoretical and simulation results
demonstrate that, it can be done if optimized RF encodings are used.
Figure 2. CRBs for resolving 5 thin
slices as a function of the number of voxels sharing the same phase value,
plotted for several different RF encoding strategies. Note that without phase constraints, the CRB
blows up to infinity whenever the number of RF encodings is smaller than the
number of thin slices (5 in this case).
Figure 3. Simulated reconstruction of 5 thin slices from
the set of 4 optimized RF encodings, for both phase-constrained and minimum
norm reconstruction. For ease of visualization, we only show two out of the five
reconstructed slices for each case.