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  4. Viscosity quantification using multi-contrast magnetic particle imaging
 
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Viscosity quantification using multi-contrast magnetic particle imaging

Citation Link: https://doi.org/10.15480/882.1753
Publikationstyp
Journal Article
Date Issued
2018-08-02
Sprache
English
Author(s)
Möddel, Martin  orcid-logo
Meins, Christian  
Dieckhoff, Jan  
Knopp, Tobias  
Institut
Biomedizinische Bildgebung E-5  
TORE-DOI
10.15480/882.1753
TORE-URI
http://tubdok.tub.tuhh.de/handle/11420/1756
Journal
New journal of physics  
Volume
20
Issue
8
Start Page
083001-1
End Page
083001-14
Citation
New Journal of Physics 8 (20): 083001 (2018)
Publisher DOI
10.1088/1367-2630/aad44b
Scopus ID
2-s2.0-85053162932
Publisher
IOP
Magnetic particle imaging (MPI) is a relatively new tomographic imaging technique using static and oscillatingmagnetic fields to image the spatial distribution ofmagnetic nanoparticles.The latter being the
contrastMPI has been initially designed for. However, recently it has been shown thatMPIcan be extended to amulti-contrast method that allows one to simultaneously image the signals of differentMPI tracer
materials. Additionally, it has been shown that changes in the particles environment, e.g. the viscosity have an impact on theMPI signal and can potentially be used for functional imaging. The purpose of the present work is twofold. First, we generalize theMPI imaging equation to describe different multi-contrast settings in a unified framework. This allows for amore precise interpretation and discussion of results obtained by single- andmulti-contrast reconstruction. Second,we propose and validate a method that allows one to determine the viscosity of a small sample from a dual-contrast reconstruction. To this end, we exploit a calibration curve mapping the sample viscosity onto the relative signalweights within the channels of the dual-contrast reconstruction. The latter allows us to experimentally determine the viscosity of the particle environment in the range of 1–51.8mPa swith a relative methodological error of less than 6%.
Subjects
magnetic particle imaging
functional imaging
viscosity
particle mobility
multi-contrast magnetic particle imaging
DDC Class
530: Physik
Funding(s)
Ganzkörper Magnetic-Particle-Imaging Messsequenzen  
Modellbasierte Parameteridentifikation in Magnetic Particle Imaging  
Lizenz
https://creativecommons.org/licenses/by/4.0/
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