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  4. Towards picogram detection of superparamagnetic iron-oxide particles using a gradiometric receive coil
 
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Towards picogram detection of superparamagnetic iron-oxide particles using a gradiometric receive coil

Publikationstyp
Book Part
Date Issued
2026-01-01
Sprache
English
Author(s)
Gräser, Matthias 
Knopp, Tobias  
Biomedizinische Bildgebung E-5  
Szwargulski, Patryk  
Biomedizinische Bildgebung E-5  
Friedrich, Thomas  
Gladiß, Anselm von  
Kaul, Michael  
Krishnan, Kannan M.  
Ittrich, Harald  
Adam, Gerhard  
Buzug, Thorsten M.  
TORE-URI
https://hdl.handle.net/11420/62337
Start Page
725
End Page
742
Citation
Jenny Stanford Publishing 1-003-74810-4: 725-742 (2026)
Publisher DOI
10.1201/9781003748106-64
Scopus ID
2-s2.0-105032529263
Publisher
Jenny Stanford Publishing
ISBN of container
1-003-74810-4
1-040-86605-0
981-5129-64-3
Superparamagnetic iron-oxide nanoparticles can be used in medical applications like vascular or targeted imaging. Magnetic particle imaging (MPI) is a promising tomographic imaging technique that allows visualizing the 3D nanoparticle distribution concentration in a non-invasive manner. The two main strengths of MPI are high temporal resolution and high sensitivity. While the first has been proven in the assessment of dynamic processes like cardiac imaging, it is unknown how far the detection limit of MPI can be lowered. Within this work, we will present a highly sensitive gradiometric receive-coil unit combined with a noise-matching network tailored for the imaging of mice. The setup is capable of detecting 5 ng of iron in-vitro with an acquisition time of 2.14 sec. In terms of iron concentration we are able to detect 156 µg/L marking the lowest value that has been reported for an MPI scanner so far. In-vivo MPI mouse images of a 512 ng bolus and a 21.5 ms acquisition time allow for capturing the flow of an intravenously injected tracer through the heart of a mouse. Since it has been rather difficult to compare detection limits across MPI publications we propose guidelines to improve the comparability of future MPI studies.
DDC Class
570: Life Sciences, Biology
600: Technology
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