Elora: Enforcing Low Rank for Parallel MR Reconstruction

Jun Liu¹, Axel Loewe¹, Michael O. Zenge², Alban Lefebvre¹, Edgar Mueller², Mariappan S. Nadar¹

Parallel imaging exploits the difference in sensitivities between individual coil elements in a receive array to reduce the number of gradient encodings required for imaging. SENSE and GRAPPA are two representative approaches. In this abstract, a new approach, called Elora is proposed. Elora implicitly uses coil sensitivities by estimating a low rank subspace from the calibration data, and then works by enforcing the low rank constraint on the sliding blocks of the k-space data.