Metadata-Version: 1.1
Name: fmriprep
Version: 0.1.1
Summary: Fmriprep is a functional magnetic resonance image pre-processing pipeline that
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, while providing easily interpretable
and comprehensive error and output reporting.
Home-page: https://github.com/poldracklab/preprocessing-workflow
Author: Ross Blair
Author-email: crn.poldracklab@gmail.com
License: 3-clause BSD
Download-URL: https://pypi.python.org/packages/source/f/fmriprep/fmriprep-0.1.1.tar.gz
Description: 
        This package is a functional magnetic resonance image preprocessing pipeline that 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, while providing easily interpretable
        and comprehensive error and output reporting. This open-source neuroimaging data processing tool
        is being developed as a part of the MRI image analysis and reproducibility platform offered by the
        CRN. This pipeline is heavily influenced by the `Human Connectome Project analysis pipelines
        <https://github.com/Washington-University/Pipelines>`_ and, as such, the backbone of this pipeline
        is a python reimplementation of the HCP `GenericfMRIVolumeProcessingPipeline.sh` script. However, a
        major difference is that this pipeline is executed using a `nipype workflow framework
        <http://nipype.readthedocs.io/en/latest/>`_. This allows for each call to a software module or binary
        to be controlled within the workflows, which removes the need for manual curation at every stage, while
        still providing all the output and error information that would be necessary for debugging and interpretation
        purposes. The fmriprep pipeline primarily utilizes FSL tools, but also utilizes ANTs tools at several stages
        such as skull stripping and template registration. This pipeline was designed to provide the best software
        implementation for each state of preprocessing, and will be updated as newer and better neuroimaging software
        become available.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: MRI processing
Classifier: Topic :: Scientific/Engineering :: Biomedical Imaging
Classifier: License :: OSI Approved :: 3-clause BSD License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
