11========
2- dmriprep
2+ dMRIPrep
33========
44
55.. image :: https://badgen.net/badge/chat/on%20mattermost/blue
@@ -17,10 +17,8 @@ dmriprep
1717.. image :: https://zenodo.org/badge/DOI/10.5281/zenodo.3392201.svg
1818 :target: https://doi.org/10.5281/zenodo.3392201
1919
20- .. image :: https://readthedocs.org/projects/dmriprep/badge/?version=latest
21- :target: https://dmriprep.readthedocs.io/en/latest/?badge=latest
22- :alt: Documentation Status
23-
20+ [`Documentation <https://nipreps.github.io/dmriprep/ >`__]
21+ [`Support at neurostars.org <https://neurostars.org/tags/dmriprep >`__]
2422
2523The preprocessing of diffusion MRI (dMRI) involves numerous steps to clean and standardize
2624the data before fitting a particular model.
@@ -36,20 +34,17 @@ dMRIPrep equips neuroscientists with an easy-to-use and transparent preprocessin
3634workflow, which can help ensure the validity of inference and the interpretability
3735of results.
3836
39- The workflow is based on `Nipype <https://nipype.readthedocs.io >`_ and encompases a large
37+ The workflow is based on `Nipype <https://nipype.readthedocs.io >`__ and encompases a large
4038set of tools from well-known neuroimaging packages, including
41- `FSL <https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/ >`_ ,
42- `ANTs <https://stnava.github.io/ANTs/ >`_ ,
43- `FreeSurfer <https://surfer.nmr.mgh.harvard.edu/ >`_ ,
44- `AFNI <https://afni.nimh.nih.gov/ >`_ ,
45- and `Nilearn <https://nilearn.github.io/ >`_ .
39+ `FSL <https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/ >`__ ,
40+ `ANTs <https://stnava.github.io/ANTs/ >`__ ,
41+ `FreeSurfer <https://surfer.nmr.mgh.harvard.edu/ >`__ ,
42+ `AFNI <https://afni.nimh.nih.gov/ >`__ ,
43+ and `Nilearn <https://nilearn.github.io/ >`__ .
4644This pipeline was designed to provide the best software implementation for each state of
4745preprocessing, and will be updated as newer and better neuroimaging software becomes
4846available.
4947
5048dMRIPrep performs basic preprocessing steps (coregistration, normalization, unwarping,
5149segmentation, skullstripping etc.) providing outputs that can be
5250easily submitted to a variety of tractography algorithms.
53-
54- [Documentation `dmriprep.org <https://dmriprep.readthedocs.io >`_]
55- [Support `neurostars.org <https://neurostars.org/tags/dmriprep >`_]
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