{ "info": { "author": "Riccardo Metere", "author_email": "rick@metere.it", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Environment :: Console", "Environment :: X11 Applications", "Intended Audience :: Healthcare Industry", "Intended Audience :: Science/Research", "Intended Audience :: System Administrators", "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Natural Language :: English", "Operating System :: POSIX", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.6", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Information Analysis", "Topic :: Scientific/Engineering :: Mathematics", "Topic :: Scientific/Engineering :: Medical Science Apps.", "Topic :: Scientific/Engineering :: Physics", "Topic :: Scientific/Engineering :: Visualization", "Topic :: Utilities" ], "description": "=======================================\nPyMRT - Python Magnetic Resonance Tools\n=======================================\n\n**PyMRT** - Python Magnetic Resonance Tools\n\n.. code::\n\n ____ __ __ ____ _____\n | _ \\ _ _| \\/ | _ \\_ _|\n | |_) | | | | |\\/| | |_) || |\n | __/| |_| | | | | _ < | |\n |_| \\__, |_| |_|_| \\_\\|_|\n |___/\n\nOverview\n--------\nThis software provides a support Python library and auxiliary console-based\ntools to perform common tasks for Magnetic Resonance Imaging (MRI).\nThe aim is to be the Swiss Army knife of MRI.\n\nAt present, the following features are best supported:\n\n- generic tools for image analysis from an MRI perspective\n- data analysis for quantitative MRI experiments\n\nOn top of this, additional effort is currently being put in the following\nareas:\n\n- image reconstruction and related features (e.g. coil combination, etc.)\n\nIt is relatively easy to extend and users are encouraged to tweak with it.\n\nAs a result of the code maturity, some of the library components may undergo\n(eventually heavy) refactoring, although this is currently unexpected.\n\n\nReleases information are available through ``NEWS.rst``.\n\nFor a more comprehensive list of changes see ``CHANGELOG.rst``.\n\n\nInstallation\n------------\nThe recommended way of installing the software is through\n`PyPI `_:\n\n.. code:: shell\n\n $ pip install pymrt\n\nAlternatively, you can clone the source repository from\n`Bitbucket `_:\n\n.. code:: shell\n\n $ mkdir pymrt\n $ cd pymrt\n $ git clone git@bitbucket.org:norok2/pymrt.git\n $ python setup.py install\n\nFor more details see also ``INSTALL.rst``.\n\nLicense\n-------\nThis work is licensed through the terms and conditions of the\n`GPLv3+ `_\n\nThe use of this software for scientific purpose leading to a publication\nshould be acknowledged through citation of the following reference:\n\n**Metere, R., M\u00f6ller, 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.**\n\n\nAcknowledgements\n----------------\nThis software originated as part of the Ph.D. work of Riccardo Metere at the\n`Max Planck Institute for Human Cognitive and Brain Sciences\n`_ and the `University of Leipzig\n`_, and has been constantly expanded from there.\n\nFor a complete list of authors please see ``AUTHORS.rst``.\n\nPeople who have influenced this work are acknowledged in ``THANKS.rst``.\n\nThis work was partly funded by the European Union\nthrough the Seventh Framework Programme Marie Curie Actions\nvia the \"Ultra-High Field Magnetic Resonance Imaging: HiMR\"\nInitial Training Network (FP7-PEOPLE-2012-ITN-316716).\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 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