Metadata-Version: 2.2
Name: neuroflow-yalab
Version: 0.1.8
Summary: NeuroFlow: A streamlined toolkit for DWI post-processing, offering advanced analysis and visualization for neuroimaging research.
Author-email: Gal Kepler <galkepler@gmail.com>
Maintainer-email: Gal Kepler <galkepler@gmail.com>
License: MIT license
Project-URL: bugs, https://github.com/{{ cookiecutter.github_username }}/{{ cookiecutter.project_slug }}/issues
Project-URL: changelog, https://github.com/{{ cookiecutter.github_username }}/{{ cookiecutter.project_slug }}/blob/master/changelog.md
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Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Description-Content-Type: text/x-rst
License-File: LICENSE
License-File: AUTHORS.rst
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.. image:: https://github.com/GalKepler/neuroflow/blob/main/assets/neuroflow.png?raw=true
    :align: center

========
Overview
========
.. list-table::
    :stub-columns: 1

    * - docs
      - |docs|
    * - tests, CI & coverage
      - |github-actions| |codecov| |codacy|
    * - version
      - |pypi| |python|
    * - styling
      - |black| |isort| |flake8| |pre-commit|
    * - license
      - |license|

.. |codacy| image:: https://app.codacy.com/project/badge/Grade/6acd65a8fd4741509422510d7a023386
    :target: https://app.codacy.com/gh/GalKepler/neuroflow/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade
    :alt: Code Quality

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.. |codecov| image:: https://codecov.io/github/GalKepler/neuroflow/graph/badge.svg?token=LO5CH471O4
    :alt: Coverage Status
    :target: https://app.codecov.io/github/GalKepler/neuroflow

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        :alt: License

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        :target: https://github.com/psf/black

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.. |pre-commit| image:: https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white
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NeuroFlow: A streamlined toolkit for DWI post-processing, offering advanced analysis and visualization for neuroimaging research.


* Free software: MIT license
* Documentation: https://neuroflow.readthedocs.io.


Features
--------

* Estimation of tensor derivatives (FA, MD, AD, RD, etc.) using either `MRtrix3 <https://www.mrtrix.org/>`_ or `DIPY <https://dipy.org/>`_.
* Registration of numerous volumetric parcellation atlases to subjects' native T1w and DWI images.
* Estimation of numerous distribution metrices (e.g. mean, median, IQR-mean, etc.) of diffusion metrics within each parcellation unit.
* Automatic extraction of available covariates originating from different sources (demographics, temporal, environmental).
* Quality control of the preprocessing of the diffusion MRI data.


Usage
-----

Basic Usage
~~~~~~~~~~~

.. code-block:: bash

    $ neuroflow process <input_dir> <output_dir> <google_credentials>


Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
