TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publications
  4. MPIReco.jl: Julia package for image reconstruction in MPI
 
Options

MPIReco.jl: Julia package for image reconstruction in MPI

Citation Link: https://doi.org/10.15480/882.4436
Publikationstyp
Journal Article
Date Issued
2019-10-15
Sprache
English
Author(s)
Knopp, Tobias  
Szwargulski, Patryk  
Griese, Florian  orcid-logo
Grosser, Mirco  
Boberg, Marija  orcid-logo
Möddel, Martin  orcid-logo
Institut
Biomedizinische Bildgebung E-5  
TORE-DOI
10.15480/882.4436
TORE-URI
http://hdl.handle.net/11420/3721
Journal
International journal on magnetic particle imaging  
Volume
5
Issue
1/2
Article Number
1907001
Citation
International Journal on Magnetic Particle Imaging 5 (1/2): 1907001 (2019)
Publisher DOI
10.18416/ijmpi.2019.1907001
Scopus ID
2-s2.0-85074022186
Publisher
Infinite Science Publishing
Image reconstruction plays an important role for the tomographic imaging technique magnetic particle imaging (MPI) since the measured raw data cannot be directly interpreted. Instead, one needs to invert the image formation process, which involves the solution of an ill-conditioned linear system of equations. Currently, most MPI researchers have implemented custom reconstruction algorithms that cannot be directly compared since the source code is not openly available. The software package MPIReco.jl aims to change this situation by providing a reference implementation for a variety of reconstruction algorithms. With the recently proposed magnetic particle imaging data format and its reference implementation MPIFiles.jl we have taken the first steps towards standardised data exchange. With MPIReco.jl we complement these initiatives to standardise the reconstruction algorithms and to facilitate reproducible research. We chose to implement the algorithms in the programming language Julia, which provides a high level syntax making the software accessible even for non-professional software developers. On the other hand Julia code has a high run-time performance comparable to low-level C code. In the present paper, we outline some of the design principles of MPIReco.jl and give an overview of the software package.
DDC Class
004: Informatik
610: Medizin
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
Loading...
Thumbnail Image
Name

135-Article Text-929-4-10-20200325.pdf

Size

446.06 KB

Format

Adobe PDF

TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback