cbinyu/heudiconv repository overview

⁠============= HeuDiConv

a heuristic-centric DICOM converter

.. image:: https://img.shields.io/badge/docker-nipy/heudiconv:latest-brightgreen.svg?logo=docker&style=flat⁠ :target: https://hub.docker.com/r/nipy/heudiconv/tags/⁠ :alt: Our Docker image

.. image:: https://travis-ci.org/nipy/heudiconv.svg?branch=master⁠ :target: https://travis-ci.org/nipy/heudiconv⁠ :alt: TravisCI

.. image:: https://codecov.io/gh/nipy/heudiconv/branch/master/graph/badge.svg⁠ :target: https://codecov.io/gh/nipy/heudiconv⁠ :alt: CodeCoverage

.. image:: https://readthedocs.org/projects/heudiconv/badge/?version=latest⁠ :target: http://heudiconv.readthedocs.io/en/latest/?badge=latest⁠ :alt: Readthedocs

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1012598.svg⁠ :target: https://doi.org/10.5281/zenodo.1012598⁠ :alt: Zenodo (latest)

⁠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>_.