International Journal on Magnetic Particle Imaging IJMPI
Vol. 3 No. 2 (2017): Int J Mag Part Imag

Research Articles

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

Main Article Content

Marco Maass (Institute for Signal Processing, University of Lübeck), Mandy Ahlborg (Institute of Medical Engineering, Universtity of Lübeck), Anna Bakenecker (Institute of Medical Engineering, Universtity of Lübeck), Fabrice Katzberg (Institute for Signal Processing, University of Lübeck), Huy Phan (Institute for Signal Processing, University of Lübeck), Thorsten M. Buzug (Institute of Medical Engineering, Universtity of Lübeck), Alfred Mertins (Institute for Signal Processing, University of Lübeck)

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.

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.

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