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  4. Trade-off between power consumption and receive signal strength for inductively coupled transmit-receive circuits in MPI
 
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Trade-off between power consumption and receive signal strength for inductively coupled transmit-receive circuits in MPI

Citation Link: https://doi.org/10.15480/882.9522
Publikationstyp
Journal Article
Date Issued
2024-03-10
Sprache
English
Author(s)
Mohn, Fabian  orcid-logo
Biomedizinische Bildgebung E-5  
Foerger, Fynn  orcid-logo
Biomedizinische Bildgebung E-5  
Thieben, Florian  orcid-logo
Biomedizinische Bildgebung E-5  
Möddel, Martin  orcid-logo
Biomedizinische Bildgebung E-5  
Knopp, Tobias  
Biomedizinische Bildgebung E-5  
Graeser, Matthias 
TORE-DOI
10.15480/882.9522
TORE-URI
https://hdl.handle.net/11420/47250
Journal
International journal on magnetic particle imaging  
Volume
10
Issue
1, suppl. 1
Article Number
2403021
Citation
International Journal on Magnetic Particle Imaging 10 (1, suppl. 1): 2403021 (2024)
Publisher DOI
10.18416/ijmpi.2024.2403021
Scopus ID
2-s2.0-85187466552
Publisher
Infinite Science Publishing
The signal chain of a Magnetic Particle Imaging system can be designed to include a dedicated receive-only coil or to combine transmit and receive coils. More common are circuits with separate transmit and receive chains, using dedicated receive coil(s) that cancel the excitation feedthrough. However, combined transmit-receive systems may prove to have several benefits, such as reducing the system complexity, providing a lower resistive noise contribution due to larger copper cross-section, facilitating a transition from 1D to multidimensional signal generation and acquisition, and implementing an embedded band-stop filter. In this theoretical work, a matching condition that governs inductors for resonant combined transmit-receive systems is investigated. To tap the signal, a compromise between the obtained signal strength and power consumption is considered, caused by the chosen circuit topology, that balances both signal loss and power consumption at a −3 dB benchmark.
DDC Class
610: Medicine, Health
620: Engineering
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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