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Abstract #2728

Efficient Large-Array K-Domain Parallel MRI Using Channel-By-Channel Array Reduction

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.