Dieses Dokument steht unter einer CreativeCommons Lizenz by/4.0
Verlagslink DOI: 10.1088/1367-2630/aad44b
Titel: Viscosity quantification using multi-contrast magnetic particle imaging
Sprache: English
Autor/Autorin: Möddel, Martin 
Meins, Christian 
Dieckhoff, Jan 
Knopp, Tobias 
Schlagwörter: magnetic particle imaging;functional imaging;viscosity;particle mobility;multi-contrast magnetic particle imaging
Erscheinungsdatum: 2-Aug-2018
Verlag: IOP
Quellenangabe: New Journal of Physics 8 (20): 083001- (2018)
Zeitschrift oder Schriftenreihe: New journal of physics 
Zusammenfassung (englisch): 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
Institut: Biomedizinische Bildgebung E-5 
Dokumenttyp: (wissenschaftlicher) Artikel
Enthalten in den Sammlungen:tub.dok

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
Möddel_2018_New_J._Phys._20_083001.pdfVerlags-PDF896,49 kBAdobe PDFMiniaturbild
Öffnen/Anzeigen
Zur Langanzeige

Seitenansichten

33
Letzte Woche
1
Letzten Monat
checked on 22.10.2018

Download(s)

10
checked on 22.10.2018

Google ScholarTM

Prüfe


Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt.