Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.2636
Publisher DOI: 10.1016/j.dib.2019.104971
Title: OpenMPIData: an initiative for freely accessible magnetic particle imaging data
Language: English
Authors: Knopp, Tobias 
Szwargulski, Patryk 
Griese, Florian  
Gräser, Matthias  
Keywords: HDF5; Magnetic nanoparticles; Magnetic particle imaging; MDF
Issue Date: Feb-2020
Publisher: Elsevier
Source: Data in Brief (28): 104971 (2020-02)
Abstract (english): 
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.
URI: http://hdl.handle.net/11420/4782
DOI: 10.15480/882.2636
ISSN: 2352-3409
Journal: Data in Brief 
Institute: Biomedizinische Bildgebung E-5 
Document Type: Article
Project: 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).
License: CC BY 4.0 (Attribution) CC BY 4.0 (Attribution)
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