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Cyril Pernet edited this page Jan 19, 2023
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The documentation is right there in the main README.md with more details for each language specific application: python README.md and matlab Readme.md.
Similar documentation with examples is also online @ https://pet2bids.readthedocs.io/en/latest/
For data that use ECAT format, we have validated our tools by creating an ecat synthetic data using golden_ecat.py allowing to write data with known values and making sure headers and data are read properly. More information can be found in our repository here.
We have collected phantoms data and tested conversion for the following PET scanners:
- GE Advance
- GE Discovery
- GE Signa
- Philips Gemini
- Philips Ingenuity
- Philips Vereos
- Siemens Biograph
- Siemens HRRT
Data have been successfully converted in the labs that created PET2BIDS:
- Neurobiology Research Unit, Copenhagen, Denmark
- NIMH, PET Neuroimaging Sciences, USA
Other sites that used and converted data with PET2BIDS
- Martinos centre MGH, USA (Paul Wighton, @pwighton)
- Georgia tech, Center for Translational Research in Neuroimaging and Data Science, USA (Cyrus Eierud, @DrCyPhi)
- Karolinska Institute, Sweden (Granville Matheson, @mathesong)
- King's College London, Molecular Neuroimaging research group, UK (Alessio Giacomel, @alegiac95)
- Johannes Gutenberg University of Mainz, Germany (Gabriel Gonzalez-Escamilla, @GGonEsc)
- Amsterdam UMC, Netherlands (Maqsood Yaqub)
- Liege, Belgium (Arianna Sala)
- Medicine University of Vienna, Austria (Matej Murgaš @murgysc)
- Imaging Center, Tumingen (Yifan Mayr)