OpenMPIData: an initiative for freely accessible magnetic particle imaging data

Publikationstyp
Data Paper
Date Issued
2020-02
Sprache
English
Author(s)
Knopp, Tobias  
Szwargulski, Patryk  
Griese, Florian  orcid-logo
Gräser, Matthias 
Institut
Biomedizinische Bildgebung E-5  
TORE-DOI
10.15480/882.2636
TORE-URI
http://hdl.handle.net/11420/4782
Journal
Data in Brief  
Volume
28
Article Number
104971
Citation
Data in Brief (28): 104971 (2020-02)
Publisher DOI
10.1016/j.dib.2019.104971
Scopus ID
2-s2.0-85076500550
Publisher
Elsevier
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.
Subjects
HDF5
Magnetic nanoparticles
Magnetic particle imaging
MDF
DDC Class
004: Informatik
610: Medizin
Funding(s)
Ganzkörper Magnetic-Particle-Imaging Messsequenzen  
Modellbasierte Parameteridentifikation in Magnetic Particle Imaging  
More Funding Information
Supported by the German Research Foundation (DFG, grant number KN 1108/2-1) and the Federal Ministry of Education and Research (BMBF, grant numbers 05M16GKA and 13XP5060B).
Lizenz
https://creativecommons.org/licenses/by/4.0/
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