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). You can see the tests results here.
Python packages
| Software | Summary | pip (PyPi) | Notes |
|---|---|---|---|
Diffusion MRI Imaging in Python. |
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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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A python package for analysis of neuroimaging data. |
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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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