Metadata-Version: 2.1
Name: pymrt
Version: 0.0.2.8
Summary: Python Magnetic Resonace Tools
Home-page: https://bitbucket.org/norok2/pymrt
Author: Riccardo Metere
Author-email: rick@metere.it
License: GPLv3+
Keywords: quantitative,MRI,qMRI,MT,susceptibility,relaxometry,qMT,neurophysics,neurology,physics,imaging,data,analysis
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Environment :: X11 Applications
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: System Administrators
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Utilities
Classifier: Operating System :: POSIX
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: sympy
Requires-Dist: nibabel
Requires-Dist: matplotlib
Requires-Dist: pyparsing
Requires-Dist: appdirs
Requires-Dist: seaborn
Requires-Dist: pywavelets
Requires-Dist: h5py
Requires-Dist: pillow
Requires-Dist: numeral
Requires-Dist: pytk
Requires-Dist: numex
Requires-Dist: flyingcircus
Requires-Dist: raster-geometry
Provides-Extra: blessed
Requires-Dist: blessed ; extra == 'blessed'
Provides-Extra: skimage
Requires-Dist: scikit.image ; extra == 'skimage'
Provides-Extra: weasyprint
Requires-Dist: weasyprint ; extra == 'weasyprint'

=======================================
PyMRT - Python Magnetic Resonance Tools
=======================================

**PyMRT** - Python Magnetic Resonance Tools

.. code::

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Overview
--------
This software provides a support Python library and auxiliary console-based
tools to perform common tasks for Magnetic Resonance Imaging (MRI).
The aim is to be the Swiss Army knife of MRI.

At present, the following features are best supported:

- generic tools for image analysis from an MRI perspective
- data analysis for quantitative MRI experiments

On top of this, additional effort is currently being put in the following
areas:

- image reconstruction and related features (e.g. coil combination, etc.)

It is relatively easy to extend and users are encouraged to tweak with it.

As a result of the code maturity, some of the library components may undergo
(eventually heavy) refactoring, although this is currently unexpected.


Releases information are available through ``NEWS.rst``.

For a more comprehensive list of changes see ``CHANGELOG.rst``.


Installation
------------
The recommended way of installing the software is through
`PyPI <https://pypi.python.org/pypi/pymrt>`_:

.. code:: shell

    $ pip install pymrt

Alternatively, you can clone the source repository from
`Bitbucket <https://bitbucket.org/norok2/pymrt>`_:

.. code:: shell

    $ mkdir pymrt
    $ cd pymrt
    $ git clone git@bitbucket.org:norok2/pymrt.git
    $ python setup.py install

For more details see also ``INSTALL.rst``.

License
-------
This work is licensed through the terms and conditions of the
`GPLv3+ <http://www.gnu.org/licenses/gpl-3.0.html>`_

The use of this software for scientific purpose leading to a publication
should be acknowledged through citation of the following reference:

**Metere, R., Möller, H.E., 2017. PyMRT and DCMPI: Two New Python Packages for MRI Data Analysis, #3816: Proceedings of the 25th Annual Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA.**


Acknowledgements
----------------
This software originated as part of the Ph.D. work of Riccardo Metere at the
`Max Planck Institute for Human Cognitive and Brain Sciences
<http://www.cbs.mpg.de>`_ and the `University of Leipzig
<http://www.uni-leipzig.de>`_, and has been constantly expanded from there.

For a complete list of authors please see ``AUTHORS.rst``.

People who have influenced this work are acknowledged in ``THANKS.rst``.

This work was partly funded by the European Union
through the Seventh Framework Programme Marie Curie Actions
via the "Ultra-High Field Magnetic Resonance Imaging: HiMR"
Initial Training Network (FP7-PEOPLE-2012-ITN-316716).


