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  4. Efficient hybrid 3D system calibration for magnetic particle imaging systems using a dedicated device
 
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Efficient hybrid 3D system calibration for magnetic particle imaging systems using a dedicated device

Citation Link: https://doi.org/10.15480/882.3065
Publikationstyp
Journal Article
Publikationsdatum
2020-10-28
Sprache
English
Author
Gladiß, Anselm von 
Gräser, Matthias 
Behrends, André 
Chen, Xin 
Buzug, Thorsten M. 
Institut
Biomedizinische Bildgebung E-5 
DOI
10.15480/882.3065
TORE-URI
http://hdl.handle.net/11420/7804
Lizenz
https://creativecommons.org/licenses/by/4.0/
Enthalten in
Scientific reports 
Volume
10
Article Number
18432
Citation
Scientific Reports 1 (10): 18432 (2020)
Publisher DOI
10.1038/s41598-020-75122-5
Scopus ID
2-s2.0-85094846652
PubMed ID
33116183
Publisher
Macmillan Publishers Limited
Image reconstruction in magnetic particle imaging is often performed using a system matrix based approach. The acquisition of a system matrix is a time-consuming calibration which may take several weeks and thus, is not feasible for a clinical device. Due to hardware characteristics of the receive chain, a system matrix may not even be used in similar devices but has to be acquired for each imager. In this work, a dedicated device is used for measuring a hybrid system matrix. It is shown that the measurement time of a 3D system matrix is reduced by 96%. The transfer function of the receive chains is measured, which allows the use of the same system matrix in multiple devices. Equivalent image reconstruction results are reached using the hybrid system matrix. Furthermore, the inhomogeneous sensitivity profile of receive coils is successfully applied to a hybrid system matrix. It is shown that each aspect of signal acquisition in magnetic particle imaging can be taken into account using hybrid system matrices. It is favourable to use a hybrid system matrix for image reconstruction in terms of measurement time, signal-to-noise ratio and discretisation.
DDC Class
004: Informatik
610: Medizin
More Funding Information
Federal ministry of education and research (BMBF, Grant Nos. 13W0069A and 13GW0230B). Open Access funding enabled and organized by Projekt DEAL.
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