The Reconstruction of Magnetic Particle Imaging: Current Approaches Based on the System Matrix.

摘要: Magnetic particle imaging (MPI) is a novel non-invasive molecular technology that images the distribution of superparamagnetic iron oxide nanoparticles (SPIONs). It not affected by depth, with high sensitivity, resolution, and no radiation. The MPI reconstruction precision quality enormous practical importance, many studies have been conducted to improve accuracy quality. based on system matrix (SM) an important part reconstruction. In this review, principle MPI, current construction methods SM theory SM-based are discussed. For approaches, mainly has following problems: problem inverse ill-posed problem, complex background signals seriously affect results, field view cannot cover entire object, available 3D datasets relatively large volume. we compared grouped different above issues, including state-of-the-art Tikhonov regularization, improved methods, subtract signal, approaches expand spatial coverage, transformations accelerate addition, phantoms performance indicators used for listed. Finally, certain research suggestions proposed, expecting review will provide reference researchers in promote future applications clinical medicine.