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Abstract #2543

Inter-Slice Artifact Reduction for Slice-GRAPPA Reconstruction of Simultaneous Multi-Slice (SMS) Acquisitions

Stephen F. Cauley1, Kawin Setsompop1, 2, Jonathan R. Polimeni1, 2, Lawrence L. Wald1, 3

1A. A. Martinos Center for Biomedical Imaging, Dept. of Radiology, MGH, Charlestown, MA, United States; 2Harvard Medical School, Boston, MA, United States; 3Harvard-MIT Division of Health Sciences and Technology, MIT, Cambridge, MA, United States

For full-brain coverage simultaneously acquiring multiple slices can significantly improve acquisition time. Controlling the unaliasing process is extremely important given the presence of noise and artifacts in fMRI and diffusion. In this work we test a constrained optimization technique that reduces inter-slice artifacts by more than 10 fold. The improved kernels can be used in both fMRI and diffusion weighting studies for increased accuracy. The convex model ensures optimal solutions given the constraints and is implemented easily using readily available optimization packages.

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Keywords

acceleration accuracy achieve acquiring acquisition addition aliasing amount applied arising array artifact artifacts assuming available averaging barrier basis biomedical blipped brain calibration channel coil collapsed column common compatible constrained constraining constrains constraint constraints constructed contrast contrasts contributions controlling convex convolution convolutions corresponds coverage decomposition decrease dependence dependencies dependency dependent dept determine determined diagonal diffusion division domain easily efficiency ensure ensures error examined extremely final fits fitting focus fold frequency full gold head health ideally illustrated illustrates important improve improving independence induced intensity inter interior isotropic kernel kernels largest linear looking magnitude manifests matrices matrix medical model noise norm notation optimal optimization original orthogonal overall packages partial peak presence prevalence problem process projection propagate radiology readily reconstruction reduce reduced reduction relate repetitions represents require resolution restricted scanner school sensitivities separate shot significantly simultaneous simultaneously singular slice slices smooth solution solutions solved space spatial spatially squares studies substantially theory trio true undesirable various