Simultaneous Multi-slice MRI Reconstruction using LORAKS

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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