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nipy / Heudiconv

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A flexible DICOM converter for organizing brain imaging data into structured directory layouts

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python
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============= HeuDiConv

a heuristic-centric DICOM converter

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About

heudiconv is a flexible DICOM converter for organizing brain imaging data into structured directory layouts.

  • it allows flexible directory layouts and naming schemes through customizable heuristics implementations
  • it only converts the necessary DICOMs, not everything in a directory
  • you can keep links to DICOM files in the participant layout
  • using dcm2niix under the hood, it's fast
  • it can track the provenance of the conversion from DICOM to NIfTI in W3C PROV format
  • it provides assistance in converting to BIDS <http://bids.neuroimaging.io/>_.
  • it integrates with DataLad <https://www.datalad.org/>_ to place converted and original data under git/git-annex version control, while automatically annotating files with sensitive information (e.g., non-defaced anatomicals, etc)

How to cite

Please use Zenodo record <https://doi.org/10.5281/zenodo.1012598>_ for your specific version of HeuDiConv. We also support gathering all relevant citations via DueCredit <http://duecredit.org>_.

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