FSLeyes
.. image:: https://img.shields.io/pypi/v/fsleyes.svg
:target: https://pypi.python.org/pypi/fsleyes/
.. image:: https://anaconda.org/conda-forge/fsleyes/badges/version.svg
:target: https://anaconda.org/conda-forge/fsleyes
.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1470761.svg
:target: https://doi.org/10.5281/zenodo.1470761
.. image:: https://git.fmrib.ox.ac.uk/fsl/fsleyes/fsleyes/badges/master/coverage.svg
:target: https://git.fmrib.ox.ac.uk/fsl/fsleyes/fsleyes/commits/master/
FSLeyes <https://git.fmrib.ox.ac.uk/fsl/fsleyes/fsleyes>
_ is the FSL <http://fsl.fmrib.ox.ac.uk/fsl/fslwiki>
_ image viewer.
Installation
FSLeyes is a GUI application written in Python, and built on wxPython <https://www.wxpython.org>
_. FSLeyes requires OpenGL for visualisation.
In the majority of cases, you should be able to follow the installation
instructions outlined at the FSLeyes home page:
https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FSLeyes.
Dependencies
All of the dependencies of FSLeyes are listed in pyproject.toml <pyproject.toml>
_.
Being an OpenGL application, FSLeyes can only be used on computers with
graphics hardware (or a software GL renderer) that supports one of the
following versions:
-
OpenGL 3.3
-
OpenGL 2.1, with the following extensions:
EXT_framebuffer_object
ARB_instanced_arrays
ARB_draw_instanced
-
OpenGL 1.4, with the following extensions:
ARB_vertex_program
ARB_fragment_program
EXT_framebuffer_object
GL_ARB_texture_non_power_of_two
Documentation
The FSLeyes user and API documentation are hosted at:
The FSLeyes user and API documentation is written in ReStructuredText, and can
be built using sphinx <http://www.sphinx-doc.org/>
_::
pip install -e ".[doc]"
sphinx-build userdoc userdoc/html
sphinx-build apidoc apidoc/html
The documentation will be generated and saved in userdoc/html/
and
apidoc/html/
.
Credits
Some of the FSLeyes icons are derived from the Freeline icon set, by Enes Dal,
available at https://www.iconfinder.com/Enesdal, and released under the
Creative Commons (Attribution 3.0 Unported) license.
The volumetric spline interpolation routine uses code from:
Daniel Ruijters and Philippe Thévenaz,
GPU Prefilter for Accurate Cubic B-Spline Interpolation,
The Computer Journal, vol. 55, no. 1, pp. 15-20, January 2012.
http://dannyruijters.nl/docs/cudaPrefilter3.pdf
The GLSL parser is based on code by Nicolas P . Rougier, available at
https://github.com/rougier/glsl-parser, and released under the BSD license.
DICOM to NIFTI conversion is performed with Chris Rorden's dcm2niix
(https://github.com/rordenlab/dcm2niix).
The brain_colours colour maps were produced and provided by Cyril Pernet
(https://doi.org/10.1111/ejn.14430).