Jun Liu1, Axel Loewe1, Michael O. Zenge2, Alban Lefebvre1, Edgar Mueller2, Mariappan S. Nadar1
1Imaging and Computer Vision, Siemens Corporation, Corporate Technology, Princeton, NJ, United States; 2MR Application & Workflow Development, Siemens AG, Healthcare Sector, Erlangen, Bavaria, Germany
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.