Improving the quality of compressed sensing MRI that exploits adjacent slice similarity

We propose a fast magnetic resonance imaging (MRI) technique based on the method proposed by the present authors. The method exploited the combination of full and compressed sensing. Full sensing is taken at a set period (F-slice) while high compression rate sensing is applied to the rest of the slices (C-slice). If we set the F-slice every four slices, three C-slices are continuously located between two F-slices. We noticed a tendency, however, that the quality of the reconstructed image for the center C-slice is the lowest among the three C-slices. To solve this problem, we adjust the setup of the proposed method with regards to two aspects. First, we adjust compression rate. We reduce the sensing rate for the F-slices while increase the sensing rate for the C-slices. Second, we adjust the F-slice interval. When we set the F-slice at every two slices, the C-slice is always located between the F-slices and the distance of the F-slice and C-slice gets smaller. Thus, we can exploit more correct information to reconstruct C-slices. Simulation results show the effectiveness of the proposed method.