dcm2bids
Your friendly DICOM converter.
dcm2bids reorganises NIfTI files using dcm2niix into the Brain Imaging Data Structure (BIDS).
Major upgrade with dcm2bids >=3.0.0
⚠️ Breaking changes alert ⚠️
dcm2bids>=3.0.0 is not compatible with config files made for v2.1.9 and below.
In order to develop dcm2bids new features we had to rewrite some of its code.
Since v3.0.0, dcm2bids has become more powerful and more flexible while reducing the burden of creating config files. Porting your config file should be relatively easy by following the How-to upgrade page.
If you have any issues with it don't hesitate to report it on Neurostars.
Scope
dcm2bids is a community-centered project. It aims to be a friendly,
easy-to-use tool to convert your dicoms. Our main goal is to make the dicom
to BIDS conversion as effortless as possible. Even if in the near future
more advanced features will be added, we'll keep the focus on your day
to day use case without complicating anything. That's the promise of the dcm2bids project.
Documentation
Please take a look at the documentation to:
- Learn about bids with some dataset examples
- Install dcm2bids
- Use docker and Apptainer/Singularity
- Follow the tutorials
- Seek for more advanced usage
Issues and Questions
We work hard to make sure dcm2bids is robust and we welcome comments and questions to make sure it meets your use case! Here's our preferred workflow:
-
If you have a usage question 🙋, we encourage you to post your question on Neurostars with dcm2bids as an optional tag. The tag is really important because Neurostars will notify the
dcm2bidsteam only if the tag is present. Neurostars is a question and answer forum for neuroscience researchers, infrastructure providers and software developers, and free to access.
Before posting your question, you may want to first browse through questions that were tagged with the dcm2bids tag. If your question persists, feel free to comment on previous questions or ask your own question. -
If you think you've found a bug 🐛, please open an issue on our repository. To do this, you'll need a GitHub account. See our contributing guide for more details.
Please cite dcm2bids
If you use dcm2bids in your research or as part of your developments, please always cite the reference below.
APA
Boré, A., Guay, S., Bedetti, C., Meisler, S., & GuenTher, N. (2023). Dcm2Bids (Version 3.1.1) [Computer software]. https://doi.org/10.5281/zenodo.8436509
BibTeX
@software{Bore_Dcm2Bids_2023,
author = {Boré, Arnaud and Guay, Samuel and Bedetti, Christophe and Meisler, Steven and GuenTher, Nick},
doi = {10.5281/zenodo.8436509},
month = aug,
title = {{Dcm2Bids}},
url = {https://github.com/UNFmontreal/Dcm2Bids},
version = {3.1.1},
year = {2023}
Release files for dcm2bids 3.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dcm2bids-3.3.1.tar.gz | 176.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dcm2bids-3.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 348.1 kB
Release files / dcm2bids-3.3.1.tar.gz
| Download URL | dcm2bids-3.3.1.tar.gz |
|---|---|
| Size | 176.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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Release files / dcm2bids-3.3.1-py3-none-any.whl
| Download URL | dcm2bids-3.3.1-py3-none-any.whl |
|---|---|
| Size | 171.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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