1 citations · 1 across the 2 of their papers we have counts for
4 papers
NFFT.jl: Generic and Fast Julia Implementation of the Nonequidistant Fast Fourier Transform
Tobias Knopp, Marija Boberg, Mirco Grosser
The non-equidistant fast Fourier transform (NFFT) is an extension of the famous fast Fourier transform (FFT), which can be applied to non-equidistantly sampled data in time/space o…
MRIReco.jl: An MRI Reconstruction Framework written in Julia
Tobias Knopp, Mirco Grosser
Purpose: The aim of this work is to develop a high-performance, flexible and easy-to-use MRI reconstruction framework using the scientific programming language Julia. Methods: Juli…
Efficient Joint Estimation of Tracer Distribution and Background Signals in Magnetic Particle Imaging using a Dictionary Approach
Tobias Knopp, Mirco Grosser, Matthias Graeser +2
Background signals are a primary source of artifacts in magnetic particle imaging and limit the sensitivity of the method since background signals are often not precisely known and…
3d-SMRnet: Achieving a new quality of MPI system matrix recovery by deep learning
Ivo Matteo Baltruschat, Patryk Szwargulski, Florian Griese +3
Magnetic particle imaging (MPI) data is commonly reconstructed using a system matrix acquired in a time-consuming calibration measurement. The calibration approach has the importan…