Technische Universität Hamburg (TUHH)
Institut für Biomedizinische Bildgebung
Gebäude E, Raum 4.044
Am Schwarzenberg-Campus 3
- Magnetic Particle Imaging
- Signal- and Image Processing
- Image Registration
- Parallel Force and Imaging MPI Application
- Spectral-MPI for Interventional Application
Florian Griese studied Medical Engineering Science at the University of Lübeck between 2007 and 2012. He received his master's degree in medical engineering science from the University of Lübeck in 2012 on X-Space Reconstruction with Lissajous Trajectories in Magnetic Particle Imaging. Between 2013 and 2016 he worked as a software developer at EUROIMMUN in the field of automation development.
Currently, he is a PhD student in the group of Tobias Knopp for experimental Biomedical Imaging at the University Medical Center Hamburg-Eppendorf and the Hamburg University of Technology.
|Title: OpenMPIData: An initiative for freely accessible magnetic particle imaging data.|
|Written by: T. Knopp, P. Szwargulski, F. Griese, M. Gräser|
|in: <em>Data in Brief</em>. 2 (2020).|
|Volume: <strong>28</strong>. Number:|
|on pages: 104971|
Note: article, opendata
Abstract: Magnetic particle imaging is a tomographic imaging technique capable of measuring the local concentration of magnetic nanoparticles that can be used as tracers in biomedical applications. Since MPI is still at a very early stage of development, there are only a few MPI systems worldwide that are primarily operated by technical research groups that develop the systems themselves. It is therefore difficult for researchers without direct access to an MPI system to obtain experimental MPI data. The purpose of the OpenMPIData initiative is to make experimental MPI data freely accessible via a web platform. Measurements are performed with multiple phantoms and different image sequences from 1D to 3D. The datasets are stored in the magnetic particle image data format (MDF), an open document standard for storing MPI data. The open data is mainly intended for mathematicians and algorithm developers working on new reconstruction algorithms. Each dataset is designed to pose a specific challenge to image reconstruction. In addition to the measurement data, computer aided design (CAD) drawings of the phantoms are also provided so that the exact dimensions of the particle concentrations are known. Thus, the phantoms can be reproduced by other research groups using additive manufacturing. These reproduced phantoms can be used to compare different MPI systems.