Dictionary-based background signal estimation for magnetic particle imaging

Publikationstyp
Conference Paper
Date Issued
2021-04-13
Sprache
English
Author(s)
Knopp, Tobias  
Grosser, Mirco  
Gräser, Matthias 
Gerkmann, Timo  
Möddel, Martin  orcid-logo
Institut
Biomedizinische Bildgebung E-5  
TORE-URI
http://hdl.handle.net/11420/9727
Start Page
1540
End Page
1543
Article Number
9434048
Citation
IEEE 18th International Symposium on Biomedical Imaging (ISBI 2021)
Contribution to Conference
IEEE 18th International Symposium on Biomedical Imaging (ISBI 2021)  
Publisher DOI
10.1109/ISBI48211.2021.9434048
Scopus ID
2-s2.0-85107173642
Magnetic Particle Imaging is a highly sensitive tracer-based imaging method able to image as little as a nanogram of tracer material. In practice, background signals stemming from imperfections in the scanner instrumentation make it challenging to achieve these very high sensitivities. In case where the background signal is static over time it can be simply subtracted using an empty reference measurement. In this work we develop a method that is capable of handling dynamic background signals. Since the particle signal and the background signal are superimposed, we propose to perform a joint estimation of both quantities. The background signal space is modeled by a dictionary of background signals, build from a set of representative drifting background measurements. The proposed method is evaluated on experimentally and it is shown that it is capable of accurately estimating the background and tracer signal in a dynamic phantom experiment.
Subjects
Background Signals
Dictionary Approach
Image Reconstruction
Magnetic Particle Imaging