Application of Low-pass & High-pass reconstruction for improving the performance of the POCS based algorithm

Projection-onto-convex sets (POCS) based methods are widely used to reconstruct the Magnetic resonance (MR) images due to its reconstruction accuracy and fast reconstruction time. In this paper, we propose a simple method to improve the reconstruction performance of the POCS based methods using low-pass filter and high-pass filter. We verify the reconstruction performance of the methods using simulation phantom and in vivo MR data both of the undersampled Cartesian and Nyquist sampled non-Cartesian cases.