KePrep: PreProcessing Strauss Neuroplasticity Brain Bank dMRI data
Overview
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Free software: MIT license
Documentation: https://keprep.readthedocs.io.
About
KePrep is a diffusion magnetic resonance imaging (dMRI) preprocessing pipeline designed to provide a reproducible, user-friendly, and easily accessible interface for dMRI data associated with the Strauss Neuroplasticity Brain Bank (SNBB).
dMRI data requires a series of preprocessing steps to be performed before it can be used in further analysis. Although researchers often apply different preprocessing steps using various tools, there is a general consensus on the most common steps. Therefore, KePrep aims to provide a standardized pipeline, allowing researchers to access the dMRI data at different stages of preprocessing.
This pipeline includes the following steps:
Denoising
Motion and Eddy Current Correction
Brain Extraction
Bias Field Correction
Tractography
Coregistration to subject’s anatomical image
While being tailored to the SNBB, KePrep is designed to be easily adaptable to other dMRI datasets.
More information and documentation can be found at https://keprep.readthedocs.io.
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
1 maintainer
Metadata
1 maintainer
Release files for keprep 0.2.2.2
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| File | Size | Uploaded | Provenance | Actions |
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| keprep-0.2.2.2-py3-none-any.whl | Python 3 | none | any | Details for keprep-0.2.2.2-py3-none-any.whl |
Total release size: 111.5 kB
Release files / keprep-0.2.2.2.tar.gz
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