Undersampling the system matrix of a single sided MPI-scanner

Compressed sensing has been shown to be a useful method for reducing the acquisition time of a system matrix in Magnetic Particle Imaging (MPI) [1-3]. The system matrix is acquired by discretising the field of view (FOV) and performing a measurement on each of the resulting spatial points. The combination of the spectra of those measurements is the system matrix. Using methods of compressed sensing, the FOV can be undersampled by acquiring a subset of the spatial points and reconstructing the system matrix in a sparse domain. In the last years, the system matrix of a 2D MPI scanning device by Philips research has been exploited [4]. In this work, proven methods have been applied on a new dataset that has been acquired using a 2D single sided MPI scanning device [5-7].