Christian Kaethner

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In magnetic particle imaging (MPI), the spatial distribution of magnetic nanoparticles is determined by applying various static and dynamic magnetic fields. Due to the complex physical behavior of the nanoparticles, it is challenging to determine the MPI system matrix in practice. Since the first publication on MPI in 2005, different methods that rely on(More)
Magnetic particle imaging (MPI) is a novel imaging method that was first proposed by Gleich and Weizenecker in 2005. Applying static and dynamic magnetic fields, MPI exploits the unique characteristics of superparamagnetic iron oxide nanoparticles (SPIONs). The SPIONs' response allows a three-dimensional visualization of their distribution in space with a(More)
This article is a survey on recent research on bivariate polynomial interpolation on the node points of Lissajous curves. The resulting theory is a generalization of the generating curve approach developed for Lagrange interpolation on the Padua points. After classifying the different types of Lissajous curves, we give a short overview on interpolation and(More)
Magnetic Particle Imaging (MPI) is an emerging technology in the field of (pre)clinical imaging. The acquisition of a particle signal is realized along specific sampling trajectories covering a defined field of view (FOV). In a system matrix (SM) based reconstruction procedure, the commonly used acquisition path in MPI is a Lissajous trajectory. Such a(More)
The magnetic particle imaging (MPI) technology is a new imaging technique featuring an excellent possibility to detect iron oxide based nanoparticle accumulations in vivo. The excitation of the particles and in turn the signal generation in MPI are achieved by using oscillating magnetic fields. In order to realize a spatial encoding, a field-free point(More)
In Computed Tomography (CT) metal objects in the region of interest introduce data inconsistencies during acquisition. The reconstruction process results in an image with star shaped artifacts. To enhance image quality the influence of metal objects can be reduced by different metal artifact reduction (MAR) strategies. For an adequate evaluation of new MAR(More)
Kurzfassung. In der Computertomographie können metallische Objekte oder Bewegungen durch Patienten zu Inkonsistenzen innerhalb der Projektionswerte führen. Bei der anschließenden Rekonstruktion der tomographischen Schnittbilder kommt es durch diese inkonsistenten Daten zu Artefakten, welche die diagnostische Aussagekraft des Bildes beeinflussen können. In(More)
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