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

Maass, Marco, Ahlborg, Mandy, Bakenecker, Anna, Katzberg, Fabrice, Phan, Huy, Buzug, Thorsten M., Mertins, Alfred (2017) A Trajectory Study for Obtaining MPI System Matrices in a Compressed-Sensing Framework. International Journal on Magnetic Particle Imaging, 3 (2). (doi:10.18416/ijmpi.2017.1706005) (KAR id:72676)

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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.

Item Type: Article
DOI/Identification number: 10.18416/ijmpi.2017.1706005
Uncontrolled keywords: compressed sensing, system matrix reconstruction, trajectory study
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Huy Phan
Date Deposited: 25 Feb 2019 15:43 UTC
Last Modified: 16 Feb 2021 14:02 UTC
Resource URI: (The current URI for this page, for reference purposes)
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