Pydra tasks for FSL

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  • License: Apache Software License
  • Author: Ghislain Vaillant
  • Tags fsl, neuroimaging, pydra
  • Requires: Python >=3.7
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Project description

pydra-fsl

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Pydra tasks for FSL.

Pydra is a dataflow engine which provides a set of lightweight abstractions for DAG construction, manipulation, and distributed execution.

FSL is a comprehensive library of analysis tools for FMRI, MRI and DTI brain imaging data.

Table of contents

Available tasks

Module Tasks
bet BET, RobustFOV
eddy Eddy
fast FAST
flirt FLIRT, ApplyXFM, ConcatXFM, ConvertXFM, InvertXFM, Img2ImgCoord, Img2StdCoord, Std2ImgCoord
fnirt FNIRT, FNIRTFileUtils, ApplyWarp, ConvertWarp, InvWarp
fugue FUGUE, FSLPrepareFieldmap, Prelude, SigLoss
susan SUSAN
utils fslmaths, FSLFFT, FSLROI, FSLChFileType, FSLInfo, FSLInterleave, FSLMerge, FSLReorient2Std, FSLSelectVols, FSLSlice, FSLSmoothFill, FSLSplit, FSLSwapDim

Installation

pip install pydra-fsl

A separate installation of FSL is required to use this package. Please review the FSL installation instructions and licensing details.

Development

This project is managed with Hatch:

pipx install hatch

To run the test suite:

hatch run test

To fix linting issues:

hatch run lint:fix

License

This project is distributed under the terms of the Apache License, Version 2.0.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for ghisvail from gravatar.com ghisvail Avatar for tclose from gravatar.com tclose

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License
  • Author: Ghislain Vaillant
  • Tags fsl, neuroimaging, pydra
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

0.1.1

0.1.0

0.0.22

0.0.21

0.0.20

0.0.19

0.0.18

0.0.17

This version

0.0.16

0.0.15

0.0.14

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0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

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Source Distribution

pydra_fsl-0.0.16.tar.gz (24.9 kB view hashes)

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Built Distribution

pydra_fsl-0.0.16-py3-none-any.whl (42.7 kB view hashes)

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