Abstract
Magnetic particle imaging (MPI) is a novel non-invasive molecular imaging technology that images the distribution of superparamagnetic iron oxide nanoparticles (SPIONs). It is not affected by imaging depth, with high sensitivity, high resolution, and no radiation. The MPI reconstruction with high precision and high quality is of enormous practical importance, and many studies have been conducted to improve the reconstruction accuracy and quality. MPI reconstruction based on the system matrix (SM) is an important part of MPI reconstruction. In this review, the principle of MPI, current construction methods of SM and the theory of SM-based MPI are discussed. For SM-based approaches, MPI reconstruction mainly has the following problems: the reconstruction problem is an inverse and ill-posed problem, the complex background signals seriously affect the reconstruction results, the field of view cannot cover the entire object, and the available 3D datasets are of relatively large volume. In this review, we compared and grouped different studies on the above issues, including SM-based MPI reconstruction based on the state-of-the-art Tikhonov regularization, SM-based MPI reconstruction based on the improved methods, SM-based MPI reconstruction methods to subtract the background signal, SM-based MPI reconstruction approaches to expand the spatial coverage, and matrix transformations to accelerate SM-based MPI reconstruction. In addition, the current phantoms and performance indicators used for SM-based reconstruction are listed. Finally, certain research suggestions for MPI reconstruction are proposed, expecting that this review will provide a certain reference for researchers in MPI reconstruction and will promote the future applications of MPI in clinical medicine.
Highlights
Published: 26 April 2021Magnetic particle imaging (MPI) is an emerging non-invasive molecular imaging technology that images the concentration distribution of superparamagnetic iron oxide nanoparticles (SPIONs) [1]
[16], and etc. instruments, The the application of MPI in various fields has made certain progress performance research of MPI reconstruction is of enormous practical importance to pro[10], mainly including multimodal imaging cell tracing
MPI is an emerging molecular imaging modality that images the distribution of SPIONs with high sensitivity and resolution
Summary
Magnetic particle imaging (MPI) is an emerging non-invasive molecular imaging technology that images the concentration distribution of superparamagnetic iron oxide nanoparticles (SPIONs) [1]. The half-life of the radioactive tracers limits their applications in certain mography (PET) and single photon emission computed tomography (SPECT) does not research fields, for example, tracking stem cells for weeks or longer [9]. MPI is a very application research of MPI in various fields has made certain progress [10], mainly promising imaging modality, which overcomes the abovementioned shortcomings of traincluding multimodal imaging [11], cell tracing [12], drug delivery and monitoring [13], ditional techniques. SMbased on the improved methods, SM-based MPI reconstruction methods to subtract the background signal, SM-based reconstruction approaches to expand based approaches, the reconstruction problem usually comes down to solving a series of the spatial andill-posed matrix transformations accelerate SM-based.
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