A Trajectory Study for Obtaining MPI System Matrices in a Compressed-Sensing Framework

Marco Maass, Mandy Ahlborg, Anna Bakenecker, Fabrice Katzberg, Huy Phan, Thorsten M. Buzug, Alfred Mertins

Abstract


In this paper, we study the efficiency of five different field free point trajectories in two-dimensional magnetic particle imaging for the compressed-sensing based reconstruction of partially measured system matrices. To show the suitability of the trajectories, different trajectories with identical repetition times were simulated using on the same scanner setup. We show that for all trajectories, the compressed-sensing based reconstruction approach for the system matrix is possible and promising for real-world scenarios. Also we validate the already known fact that the Lissajous trajectory is appropriate for the compressed sensing approach. However, there are still other trajectory choices which show similar and even better performance in the compressed-sensing based reconstruction.

Keywords


compressed sensing; system matrix reconstruction; trajectory study

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Copyright (c) 2017 Marco Maass, Mandy Ahlborg, Anna Bakenecker, Fabrice Katzberg, Huy Phan, Thorsten M. Buzug, Alfred Mertins

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This work is licensed under a Creative Commons Attribution 4.0 International License.