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SMART RHESINs for magnetic particle imaging: impact of viscosity-independent relaxation on image reconstruction

Feye, Julia 1; Franke, Jochen; Treptow, Jens 2; Feldmann, Claus 2; Roesky, Peter W. ORCID iD icon 2; Rösch, Esther S.
1 Karlsruher Institut für Technologie (KIT)
2 Institut für Anorganische Chemie (AOC), Karlsruher Institut für Technologie (KIT)

Abstract:

Magnetic particle imaging (MPI) is a promising medical imaging modality that leverages the magnetic properties of nanoparticles. Traditionally, MPI tracers have been limited to commercially available nanoparticles, but specialized tracers could improve signal detection and expand applications. Here, we introduce SMART RHESINs, an innovative tracer design for MPI. In SMART RHESINs, synomag®-D nanoparticles are encapsulated in hollow nanospheres, shielding them from external influences like viscosity changes and enabling signal quantification independent of the surrounding medium. We demonstrated that the phase angle obtained through MPS is a rapid, predictive metric for assessing tracer suitability for MPI applications. Unlike the system matrix from non-encapsulated synomag®-D, the system matrix from aqueous synomag®-D-encapsulated SMART RHESINs allowed reconstructing immobilized SMART RHESINs, underscoring design robustness. SMART RHESINs hold potential for quantitative measurements across diverse environments, broadening the scope of MPS and MPI as a versatile tracer platform for quantitative imaging.


Verlagsausgabe §
DOI: 10.5445/IR/1000186736
Veröffentlicht am 13.11.2025
Originalveröffentlichung
DOI: 10.18416/ijmpi.2025.2508001
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Anorganische Chemie (AOC)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2025
Sprache Englisch
Identifikator ISSN: 2365-9033
KITopen-ID: 1000186736
Erschienen in International Journal on Magnetic Particle Imaging
Verlag International Journal on Magnetic Particle Imaging IJMPI
Band 11
Heft 1
Seiten ID 2508001
Schlagwörter Magnetic Particle Imaging, Tracer, image reconstruction
Nachgewiesen in OpenAlex
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