Weihong Guo1, Hu Cheng2, Feng Huang3
1Department of Mathematics, University of Alabama, Tuscaloosa, AL, USA; 2Department of Psychological and Brain Sciences, Indiana University, IN, USA; 3Advanced Concept Development, Invivo Corporation, Gainesville, FL, USA
Given a set of reconstructions with different noise/artifact distribution, it is possible to generate an image with higher signal to noise ratio (SNR) than each single reconstruction through weighted summation. An efficient weight calculation method is proposed in this work to automatically and adaptively integrate advantages of GRAPPA and SENSE reconstructions.Quantitative and qualitative results have shown advantages of the proposed model.