SDCFlows (Susceptibility Distortion Correction workFlows) is a Python library of NiPype-based workflows to preprocess B0 mapping data, estimate the corresponding fieldmap and finally correct for susceptibility distortions. Susceptibility-derived distortions are typically displayed by images acquired with EPI (echo-planar imaging) MR schemes.
The library is designed to provide an easily accessible, state-of-the-art interface that is robust to differences in scan acquisition protocols and that requires minimal user input.
This open-source neuroimaging data processing tool is being developed as a part of the MRI image analysis and reproducibility platform offered by NiPreps.
Release files for sdcflows 2.17.0
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sdcflows-2.17.0.tar.gz | 11.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sdcflows-2.17.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.5 MB
Release files / sdcflows-2.17.0.tar.gz
| Download URL | sdcflows-2.17.0.tar.gz |
|---|---|
| Size | 11.8 MB |
| Tags | Source |
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Transparency logRelease files / sdcflows-2.17.0-py3-none-any.whl
| Download URL | sdcflows-2.17.0-py3-none-any.whl |
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| Size | 5.7 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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