Jun Miao1,2, Weihong Guo3, David
L. Wilson1,4
1Biomedical Engineering, Case Western
Reserve University, Cleveland, OH, United States; 2Siemens
Corporate Research, Princeton, NJ, United States; 3Mathematics,
Case Western Reserve University, Cleveland, OH, United States; 4Radiology,
University Hospitals of Cleveland
Incoherent
sampling requirement is a bottleneck for application of compressed sensing
(CS) in parallel MR imaging. Thus, a direct plug-in of CS to parallel
imaging, especially in the case of equidistant k-space sampling, is not
feasible. We propose a simple method to eliminate this problem by sampling
decomposition and illustrate the idea using GRAPPA reconstruction.
Significant improvement in image quality can be achieved with even less
k-space acquisition.
Keywords