Software for neuro-imaging
Upstream packages
The following tools are among the software currently tested in NeuroFedora and can be installed directly from upstream forges (e.g. PyPi):
Python packages
| Software | Summary | pip (PyPi) | Notes |
|---|---|---|---|
MNE-Python project for MEG and EEG data analysis. |
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MNE-BIDS: Organizing MEG, EEG, and iEEG data according to the BIDS specification and facilitating their analysis with MNE-Python. |
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Statistical learning for neuroimaging in Python. |
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Neuroimaging in Python: Pipelines and Interfaces. |
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bids: interface with datasets conforming to BIDS. |
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wxPython XNAT repository browser. |
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Does not build from PyPi |
System packages
The following are included in the repositories:
| Software | Install with | Notes |
|---|---|---|
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A DICOM viewer. |
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A multi-threaded anonymizer for DICOM files implementing most of DICOM PS 3.15 AnnexE |
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Diffusion MRI utilities in Python. |
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A Python library based on pyqtgraph for building custom viewers for electrophysiological signals, video, events, epochs, spike trains, data tables, and time-frequency representations of signals. |
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FSLeyes, the FSL image viewer. |
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Python library for working with GIFTI. |
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A fast NIfTI-1/2 reader and NIfTI-to-JNIfTI converter |
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Python module for fast and easy statistical learning on NeuroImaging data. |
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Modeling and Statistical analysis of fMRI data in Python. |
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dicom: file io for medical images and other data. |
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Interface with datasets conforming to BIDS. |
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Decode and encode Petlink data streams (32 and 64 bit). |
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A Python implementation of the DICOM networking protocol. |
Software that is in the queue for inclusion is listed here.
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