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Apps"],"sub_categories":["others"],"readme":"========\ndMRIPrep\n========\n\n.. image:: https://img.shields.io/badge/chat-mattermost-blue\n    :target: https://mattermost.brainhack.org/brainhack/channels/dmriprep\n\n.. image:: https://img.shields.io/badge/docker-nipreps/dmriprep-brightgreen.svg?logo=docker\u0026style=flat\n  :target: https://hub.docker.com/r/nipreps/dmriprep/tags/\n\n.. image:: https://img.shields.io/pypi/v/dmriprep.svg\n    :target: https://pypi.python.org/pypi/dmriprep\n\n.. image:: https://circleci.com/gh/nipreps/dmriprep.svg?style=svg\n    :target: https://circleci.com/gh/nipreps/dmriprep\n\n.. image:: https://github.com/nipreps/dmriprep/workflows/Python%20package/badge.svg\n    :target: https://github.com/nipreps/dmriprep/actions\n\n.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3392201.svg\n    :target: https://doi.org/10.5281/zenodo.3392201\n\n[`Documentation \u003chttps://www.nipreps.org/dmriprep/\u003e`__]\n[`Support at neurostars.org \u003chttps://neurostars.org/tags/dmriprep\u003e`__]\n\nAbout\n-----\nThe preprocessing of diffusion MRI (dMRI) involves numerous steps to clean and standardize\nthe data before fitting a particular model.\nGenerally, researchers create ad-hoc preprocessing workflows for each dataset,\nbuilding upon a large inventory of available tools.\nThe complexity of these workflows has snowballed with rapid advances in\nacquisition and processing.\ndMRIPrep is an analysis-agnostic tool that addresses the challenge of robust and\nreproducible preprocessing for whole-brain dMRI data.\ndMRIPrep automatically adapts a best-in-breed workflow to the idiosyncrasies of\nvirtually any dataset, ensuring high-quality preprocessing without manual intervention.\ndMRIPrep equips neuroscientists with an easy-to-use and transparent preprocessing\nworkflow, which can help ensure the validity of inference and the interpretability\nof results.\n\nThe workflow is based on `Nipype \u003chttps://nipype.readthedocs.io\u003e`__ and\nencompasses a large set of tools from other neuroimaging packages.\nThis pipeline was designed to provide the best software implementation for each state of\npreprocessing, and will be updated as newer and better neuroimaging software\nbecomes available.\n\ndMRIPrep performs basic preprocessing steps such as head-motion correction,\nsusceptibility-derived distortion correction, eddy current correction, etc.\nproviding outputs that can be easily submitted to a variety of diffusion models.\n\nGetting involved\n----------------\nWe welcome all contributions!\nWe'd like to ask you to familiarize yourself with our `contributing guidelines \u003chttps:/www.nipreps.org/community/CONTRIBUTING\u003e`__.\nFor ideas for contributing to *dMRIPrep*, please see the current list of `issues \u003chttps://github.com/nipreps/dmriprep/issues\u003e`__.\nFor making your contribution, we use the GitHub flow, which is\nnicely explained in the chapter `Contributing to a Project \u003chttp://git-scm.com/book/en/v2/GitHub-Contributing-to-a-Project\u003e`__ in Pro Git\nby Scott Chacon and also in the `Making a change section \u003chttps://www.nipreps.org/community/CONTRIBUTING/#making-a-change\u003e`__ of our guidelines.\nIf you're still not sure where to begin, feel free to pop into `Mattermost \u003chttps://mattermost.brainhack.org/brainhack/channels/dmriprep\u003e`__ and introduce yourself!\nOur project maintainers will do their best to answer any question or concerns and will be happy to help you find somewhere to get started.\n\nWant to learn more about our future plans for developing `dMRIPrep`?\nPlease take a look at our `milestones board \u003chttps://github.com/nipreps/dmriprep/milestones\u003e`__ and `project roadmap \u003chttps://www.nipreps.org/dmriprep/roadmap.html\u003e`__.\n\nWe ask that all contributors to `dMRIPrep` across all project-related spaces (including but not limited to: GitHub, Mattermost, and project emails), adhere to our `code of conduct \u003chttps://www.nipreps.org/community/CODE_OF_CONDUCT\u003e`__.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnipreps%2Fdmriprep","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnipreps%2Fdmriprep","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnipreps%2Fdmriprep/lists"}