Efficient Operator Splitting Algorithm for Joint Sparsity-Regularized SPIRiT-based Parallel MR Imaging Reconstruction

Self-consistent parallel imaging (SPIRiT) is an auto-calibrating model for the reconstruction of parallel magnetic resonance imaging, which can be formulated as a regularized SPIRiT problem. The Projection Over Convex Sets (POCS) method was used to solve the formulated regularized SPIRiT problem. However, the quality of the reconstructed image still needs to be improved. Though methods such as NonLinear Conjugate Gradients (NLCG) can achieve higher spatial resolution, these methods always demand very complex computation and converge slowly.

Source: Magnetic Resonance Imaging - November 8, 2017 Category: Radiology Authors: Jizhong Duan, Yu Liu, Peiguang Jing Source Type: research