Abstract
We present a method for three-dimensional (3D) image reconstruction in projection-based magnetic particle imaging (MPI) and investigate its feasibility through simulation studies, in which a helical numerical phantom is used and degraded projection data are generated using a system function map and Gaussian noise. The overall system matrix (SM) is calculated by concatenating the SMs for each projection data and slice. The 3D image reconstruction is performed using the algebraic reconstruction technique combined with total variation minimization via the gradient descent method. Our results suggest that the proposed method is useful for realizing 3D MPI.
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