Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.1753
This item is licensed with a CreativeCommons licence by/4.0
Publisher DOI: 10.1088/1367-2630/aad44b
Title: Viscosity quantification using multi-contrast magnetic particle imaging
Language: English
Authors: Möddel, Martin 
Meins, Christian 
Dieckhoff, Jan 
Knopp, Tobias 
Keywords: magnetic particle imaging;functional imaging;viscosity;particle mobility;multi-contrast magnetic particle imaging
Issue Date: 2-Aug-2018
Publisher: IOP
Source: New Journal of Physics 8 (20): 083001- (2018)
Journal or Series Name: New journal of physics 
Abstract (english): 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%.
URI: http://tubdok.tub.tuhh.de/handle/11420/1756
DOI: 10.15480/882.1753
ISSN: 1367-2630
Institute: Biomedizinische Bildgebung E-5 
Type: (wissenschaftlicher) Artikel
Appears in Collections:Publications (tub.dok)

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