Metadata-Version: 2.1
Name: niftypad
Version: 2.0.0
Summary: Neuroimaging for the Prevention of Alzheimer's Disease
Author-email: Jieqing Jiao <jieqing.jiao@gmail.com>
Maintainer-email: Casper da Costa-Luis <imaging@cdcl.ml>
License: Apache-2.0
Project-URL: documentation, https://github.com/AMYPAD/NiftyPAD/#NiftyPAD
Project-URL: repository, https://github.com/AMYPAD/NiftyPAD
Project-URL: changelog, https://github.com/AMYPAD/NiftyPAD/releases
Keywords: PET,Pharmacokinetic analysis,Reference input-based modelling
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
Provides-Extra: dev
License-File: LICENSE

NiftyPAD
========

Neuroimaging for the Prevention of Alzheimer's Disease.

|DOI| |Licence|

A novel Python package for quantitative analysis of dynamic PET data.

.. image:: https://raw.githubusercontent.com/JJiao/NiftyPAD/master/images/Fig1.jpg

.. |DOI| image:: https://img.shields.io/badge/doi-10.1007/s12021--022--09616--0-blue
   :target: https://doi.org/10.1007/s12021-022-09616-0
.. |Licence| image:: https://img.shields.io/pypi/l/niftypad.svg?label=licence
   :target: https://github.com/AMYPAD/NiftyPAD/blob/master/LICENSE
