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Medical image format converter: from raw Bruker ParaVision to nifti.

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SebastianoF/bruker2nifti

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Bruker2nifti

Bruker2nifti is an open source medical image format converter from raw Bruker ParaVision to NifTi, without any intermediate step through the DICOM standard formats.

Bruker2nifti is a pip-installable pure Python tool provided with a Graphical User Interface and a Command Line Utility to access the conversion method.

Before Getting Started

Since the release of ParaVision360v1.1, a NifTi format converter is natively embedded and would provide the long sought standard. Please consider this option before starting with bruker2nifti.

Getting Started

Accessing only the GUI with no Python knowledge required

gui_example

API documentation, additional notes, examples and list of Bruker converter

Code Testing

Support and contributions

Please see the contribution guideline for bugs report, feature requests and code style.

Copyright, Licence and How to Cite

BibTeX entry:

@article{ferraris2017bruker2nifti,
  title={{Bruker2nifti: Magnetic Resonance Images converter from Bruker ParaVision to Nifti format}},
  author={Ferraris, Sebastiano and Shakir, Ismail Dzhoshkun and Van Der Merwe, Johannes and Gsell, Willy and Deprest, Jan and Vercauteren, Tom},
  journal={Journal Of Open Source Software},
  volume={2},
  number={16},
  pages={354},
  year={2017},
  publisher={Journal Of Open Source Software}
}

Acknowledgements

  • This repository is developed within the GIFT-surg research project.
  • Funding sources and authors list can be found in the JOSS submission paper.
  • Thanks to Bernard Siow (Centre for Advanced Biomedical Imaging, University College London), Chris Rorden (McCausland Center for Brain Imaging, University of South Carolina) and Matthew Brett (Berkeley Brain Imaging Center).