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Magnetic Particle Imaging (MPI) is an emerging medical imaging modality thatimages the spatial distribution of superparamagnetic iron oxide (SPIO)nanoparticles using their nonlinear response to applied magnetic fields. Instandard x-space approach to MPI, the image is reconstructed by gridding thespeed-compensated nanoparticle signal to the instantaneous position of thefield free point (FFP). However, due to safety limits on the drive field, thefield-of-view (FOV) needs to be covered by multiple relatively small partialfield-of-views (pFOVs). The image of the entire FOV is then pieced togetherfrom individually processed pFOVs. These processing steps can be sensitive tonon-ideal signal conditions such as harmonic interference, noise, andrelaxation effects. In this work, we propose a robust x-space reconstructiontechnique, Partial FOV Center Imaging (PCI), with substantially simplified pFOVprocessing. PCI first forms a raw image of the entire FOV by mapping MPI signaldirectly to pFOV center locations. The corresponding MPI image is then obtainedby deconvolving this raw image by a fully known, compact kernel, which solelydepends on the pFOV size. We analyze the performance of the proposedreconstruction via extensive simulations, as well as imaging experiments on ourin-house FFP MPI scanner. The results show that PCI offers a trade-off betweennoise robustness and interference robustness, outperforming standard x-spacereconstruction in terms of both robustness against non-ideal signal conditionsand image quality.

Partial FOV Center Imaging (PCI): A Robust X-Space Image Reconstruction for Magnetic Particle Imaging