Abstract #0078
Simultaneous Multi-slice MRI Reconstruction using LORAKS
Tae Hyung Kim 1 and Justin P. Haldar 1
1
Department of Electrical Engineering,
University of Southern California, Los Angeles, CA,
United States
This work proposes a novel approach to simultaneous
multi-slice (SMS) parallel MRI reconstruction, based on
the low-rank modeling of local k-space neighborhoods
(LORAKS) framework. Compared to existing SMS
reconstruction methods, the proposed SMS-LORAKS approach
is flexible enough to reconstruct highly-undersampled
SMS data in the absence of prior coil information or
autocalibration data. SMS-LORAKS can also be applied to
single-channel MRI data. Reconstruction results are
shown with real retrospectively-undersampled MRI data to
demonstrate the potential of the approach.
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