Jim Ji1, Shuo Feng1
1Texas A&M University, College Station, TX, USA
Large coil arrays with up to 64 or 128 elements have enabled parallel MRI at unprecedented speed. However, applying k-domain parallel MRI such as the GRAPPA methods in these systems has been rare due to the computational challenge. In this work, we develop an efficient reconstruction method for k-space based parallel MRI with large arrays using array reduction. Experimental results show the new method can dramatically reduce processing time with minimal degradation of reconstruction quality.