MRIQC is developed by
the Poldrack Lab at Stanford University <https://poldracklab.stanford.edu> for use at the
Center for Reproducible Neuroscience (CRN) <http://reproducibility.stanford.edu>, as well as
for open-source software distribution.
.. image:: https://readthedocs.org/projects/mriqc/badge/?version=latest :target: http://mriqc.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status
MRIQC extracts no-reference IQMs (image quality metrics) from structural (T1w and T2w) and functional MRI (magnetic resonance imaging) data.
MRIQC is an open-source project, developed under the following software engineering principles:
#. Modularity and integrability: MRIQC implements a
nipype <http://nipype.readthedocs.io>_ workflow to integrate modular
sub-workflows that rely upon third party software toolboxes such as
FSL, ANTs and AFNI.
#. Minimal preprocessing: the MRIQC workflows should be as minimal as possible to estimate the IQMs on the original data or their minimally processed derivatives.
#. Interoperability and standards: MRIQC follows the the
brain imaging data structure (BIDS) <http://bids.neuroimaging.io>, and it adopts the
BIDS-App <http://bids-apps.neuroimaging.io> standard.
#. Reliability and robustness: the software undergoes frequent vetting sprints
by testing its robustness against data variability (acquisition parameters,
physiological differences, etc.) using images from
Its reliability is permanently checked and maintained with
MRIQC is part of the MRI image analysis and reproducibility platform offered by
the CRN. This pipeline derives from, and is heavily influenced by, the
PCP Quality Assessment Protocol <http://preprocessed-connectomes-project.github.io/quality-assessment-protocol>_.
.. topic:: When using MRIQC, please include the following citation:
Esteban O, Birman D, Schaer M, Koyejo OO, Poldrack RA, Gorgolewski KJ; *MRIQC: Advancing the Automatic Prediction of Image Quality in MRI from Unseen Sites*; PLOS ONE 12(9):e0184661; doi:`10.1371/journal.pone.0184661 <https://doi.org/10.1371/journal.pone.0184661>`_.
The documentation of this project is found here: http://mriqc.readthedocs.io/.
Users can get help using the
mriqc-users google group <https://groups.google.com/forum/#!forum/mriqc-users>_.
All bugs, concerns and enhancement requests for this software can be submitted here: https://github.com/poldracklab/mriqc/issues.
Oscar Esteban, Krzysztof F. Gorgolewski. Poldrack Lab, Psychology Department, Stanford University, and Center for Reproducible Neuroscience, Stanford University.
.. topic:: Thanks
* The QAP developers (C. Craddock, S. Giavasis, D. Clark, Z. Shezhad, and J. Pellman) for the initial base of code which MRIQC was forked from. * W Triplett and CA Moodie for their initial contributions with bugfixes and documentation, and * J Varada for his contributions on the source code.
We use the 3-clause BSD license; the full license is in the file
All trademarks referenced herein are property of their respective holders.
Copyright (c) 2015-2017, the mriqc developers and the CRN. All rights reserved.