ADAPTIVE JOINT SPARSE CODING-BASED PARALLEL MAGNETIC RESONANCE IMAGING METHOD AND APPARATUS AND COMPUTER READABLE MEDIUM

摘要

Adaptive joint sparse coding-based parallel magnetic resonance imaging method and apparatus and a computer readable medium. The method of the present invention comprises: solving an l₂-l_F-l_2,1 smallest objective function, wherein the norm l₂ is a data fitting item, the norm l_F represents sparse expression error, and the mixed norm l_2,1 represents the joint sparse constraint between each channel; using a divide-and-conquer method and corresponding algorithm to update a sparse matrix, dictionary, and spatial data K before finally acquiring a reconstructed image by means of the sum of the root-mean-squares of all channels. The joint sparsity of the channels is exploited using the norm l_2,1, and when information sparsity is exploited, calibration may be avoided. The method also has fairly strong robustness.