Readme

This is the implementation of the work in my master thesis.

The file of the thesis can be found here after the project is finished.

Performing kernel based reconstructions

Straightforward approach

To start the straightforward kernel-based reconstruction, use

MPIKernelReco.mainStraightforwardKernelReco()

Interpolated approach

To start the interpolated kernel-based reconstruction, use

MPIKernelReco.mainInterpolatedKernelReco()

Prerequisites and references

OpenMPIData

The OpenMPIData dataset is an initiative for freely accessible MPI data. Above methods read the provided dataset and perform the reconstruction. OpenMPIData

Reference

Tobias Knopp, Patryk Szwargulski, Florian Griese, Matthias Gräser, OpenMPIData: An initiative for freely accessible magnetic particle imaging data, Data in Brief, Volume 28, 2020, 104971, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2019.104971.

MPIsimTools

This is a package, that Christina Brandt provided access to, written by Christiane Schmidt. We used this package for modeling phantom measurements and system matrices to test the kernel-based reconstruction method. Furthermore, the methods for reading the measurements from OpenMPIData this package provided the necessary methods.

Reference

Schmidt, Christiane. Magnetic Particle Imaging-Modeling and Solving a Dynamic Inverse Problem. Diss. Staats-und Universitätsbibliothek Hamburg Carl von Ossietzky, 2022.