AI-Based Reconstruction for Fast MRI—A Systematic Review and Meta-Analysis

Compressed sensing (CS) has been playing a key role in accelerating the magnetic resonance imaging (MRI) acquisition process. With resurgence of artificial intelligence, deep neural networks and CS algorithms are being integrated to redefine state art fast MRI. The past several years have witnessed substantial growth complexity, diversity, performance deep-learning-based techniques that dedicated In this meta-analysis, we systematically review for MRI, describe model designs, highlight breakthroughs, discuss promising directions. We also introduced comprehensive analysis framework classification system assess pivotal learning CS-based acceleration