activity
20182025
most citedDeep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset

21 citations · 40 across the 11 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

eess.IV2020

A simulation framework for particle magnetization dynamics of large ensembles of single domain particles: Numerical treatment of Brown/Néel dynamics and parameter identification problems in magnetic particle imaging

Hannes Albers, Tobias Kluth, Tobias Knopp

Magnetic nanoparticles and their magnetization dynamics play an important role in many applications. We focus on magnetization dynamics in large ensembles of single domain nanopart…

eess.IV2020★ 21 cited

Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset

Sören Dittmer, Tobias Kluth, Mads Thorstein Roar Henriksen +1

Magnetic particle imaging (MPI) is an imaging modality exploiting the nonlinear magnetization behavior of (super-)paramagnetic nanoparticles to obtain a space- and often also time-…

math.NA2020

Joint super-resolution image reconstruction and parameter identification in imaging operator: Analysis of bilinear operator equations, numerical solution, and application to magnetic particle imaging

Tobias Kluth, Christine Bathke, Ming Jiang +1

One important property of imaging modalities and related applications is the resolution of image reconstructions which relies on various factors such as instrumentation or data pro…

math.NA2020

L1 data fitting for robust reconstruction in magnetic particle imaging: quantitative evaluation on Open MPI dataset

Tobias Kluth, Bangti Jin

Magnetic particle imaging is an emerging quantitative imaging modality, exploiting the unique nonlinear magnetization phenomenon of superparamagnetic iron oxide nanoparticles for r…