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Reconstruction of the Magnetic Particle Imaging System Matrix Using Symmetries and Compressed Sensing
Joint Authors
Source
Advances in Mathematical Physics
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-08
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Magnetic particle imaging (MPI) is a tomographic imaging technique that allows the determination of the 3D spatial distribution of superparamagnetic iron oxide nanoparticles.
Due to the complex dynamic nature of these nanoparticles, a time-consuming calibration measurement has to be performed prior to image reconstruction.
During the calibration a small delta sample filled with the particle suspension is measured at all positions in the field of view where the particle distribution will be reconstructed.
Recently, it has been shown that the calibration procedure can be significantly shortened by sampling the field of view only at few randomly chosen positions and applying compressed sensing to reconstruct the full MPI system matrix.
The purpose of this work is to reduce the number of necessary calibration scans even further.
To this end, we take into account symmetries of the MPI system matrix and combine this knowledge with the compressed sensing method.
Experiments on 2D MPI data show that the combination of symmetry and compressed sensing allows reducing the number of calibration scans compared to the pure compressed sensing approach by a factor of about three.
American Psychological Association (APA)
Weber, A.& Knopp, T.. 2015. Reconstruction of the Magnetic Particle Imaging System Matrix Using Symmetries and Compressed Sensing. Advances in Mathematical Physics،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1052976
Modern Language Association (MLA)
Weber, A.& Knopp, T.. Reconstruction of the Magnetic Particle Imaging System Matrix Using Symmetries and Compressed Sensing. Advances in Mathematical Physics No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1052976
American Medical Association (AMA)
Weber, A.& Knopp, T.. Reconstruction of the Magnetic Particle Imaging System Matrix Using Symmetries and Compressed Sensing. Advances in Mathematical Physics. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1052976
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052976